Category: Microsoft
Category Archives: Microsoft
Cannot close “ghost” window, application killed
Please see the image. I had a popup for a software update, I tried to close the window but it turned see through. I cannot click x, I restarted explorer.exe, I killed the offending application, I’ve logged out, I’ve restarted my graphics driver but this window will not close. This window is stuck in the middle of my display and I cannot restart at the moment. Nothing I can find will get this box out of my way.
Thanks in advance.
Can someone help me navigate this issue? Windows 11 is really working hard at the WOAT OS title.
Please see the image. I had a popup for a software update, I tried to close the window but it turned see through. I cannot click x, I restarted explorer.exe, I killed the offending application, I’ve logged out, I’ve restarted my graphics driver but this window will not close. This window is stuck in the middle of my display and I cannot restart at the moment. Nothing I can find will get this box out of my way. Thanks in advance.Can someone help me navigate this issue? Windows 11 is really working hard at the WOAT OS title. Read More
Usability around retention labels
Some of our key stakeholders are complaining that the interface to assign a retention label is not very usable in that it displays just as one big dropdown and doesn’t provide any hierarchical grouping or search capability. Are there any workaround to this?
Some of our key stakeholders are complaining that the interface to assign a retention label is not very usable in that it displays just as one big dropdown and doesn’t provide any hierarchical grouping or search capability. Are there any workaround to this? Read More
Take a technical deep dive into Microsoft Fabric and prepare for your DP-600 certification!
FREE Microsoft Fabric Partner Workshop
May 6-9, 2024 | 8 am – 12 pm PST
Microsoft Fabric is an all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time Analytics, and business intelligence. Attend this course to learn more about this comprehensive suite of services, including data lake, data engineering, and data integration, all in one place. Learn how to implement this easy-to-use product that is designed to simplify analytics needs of enterprises.
This four-day virtual training experience includes two-to-four hours a day of:
Structured instructor-led training theory
Hands-on labs to help develop specialized skills
Live Q&A with technical experts
Learn more and register at https://aka.ms/partner/AzureVC
FREE Microsoft Fabric Partner Workshop
May 6-9, 2024 | 8 am – 12 pm PST
Microsoft Fabric is an all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time Analytics, and business intelligence. Attend this course to learn more about this comprehensive suite of services, including data lake, data engineering, and data integration, all in one place. Learn how to implement this easy-to-use product that is designed to simplify analytics needs of enterprises.
This four-day virtual training experience includes two-to-four hours a day of:
Structured instructor-led training theory
Hands-on labs to help develop specialized skills
Live Q&A with technical experts
Learn more and register at https://aka.ms/partner/AzureVC
Read More
Cód atreoraithe B I T G E T: qp29 (Bónas clárúcháin B I T G E T 1000 USDT)
Cód atreoraithe B I T G E T: qp29 (Bónas clárúcháin B I T G E T 1000 USDT) | Cód promo nua B I T G E T 2024
An bhfuil an cód atreoraithe B I T G E T á lorg agat? Is é an ceann deireanach do 2024 ná qp29. Leis an gcód seo gheobhaidh tú lascaine 30%. Ina theannta sin, is féidir le húsáideoirí nua B I T G E T a chláraíonn leis an gcód promo “qp29” duais tionscnaimh eisiach ar fiú suas le $1,000 a fháil.
Cad é an cód atreoraithe B I T G E T?
Feidhmíonn an cód “qp29” sa chlár BIT G E T mar chód atreoraithe. Tríd an gcód seo a chur isteach gheobhaidh tú laghdú buan ar tháillí trádála chomh maith le lascaine 30% ar do cheirdeanna. Má roinneann tú do chód atreoraithe le do chairde, beidh deis agat freisin bónas flaithiúil 50% a bhuachan. Trí úsáid a bhaint as an gcód seo tugtar deis luachmhar táillí a laghdú agus d’fhéadfadh do thuilleamh a mhéadú trí dhaoine eile a mhealladh chuig an ardán.
Cad é an cód atreoraithe B I T G E T 2024 is fearr?
Is é qp29 an cód atreoraithe B I T G E T a mholtar go mór. Má úsáideann tú an cód seo agus tú ag clárú gheobhaidh tú bónas flaithiúil $100. Má roinneann tú do chód le do chairde, tá an deis agat coimisiún ollmhór 50% a thuilleamh. Tugann sé seo go bunúsach an deis duit uasmhéid bónas clárúcháin suas le $1,000 a fháil mar luach saothair fáilte. Is bealach iontach é seo chun do thaithí trádála a leathnú le buntáistí breise agus daoine eile a spreagadh chun páirt a ghlacadh agus a luach saothair féin a thuilleamh.
Conas cód atreoraithe B I T G E T a úsáid
Tá an cód atreoraithe B I T G E T ar fáil d’úsáideoirí nua nach bhfuil cláraithe fós ar an malartán. Ar an drochuair, má tá cuntas agat cheana féin, ní bheidh tú in ann an cód atreoraithe a úsáid.
Mar sin féin, cuireann B I T G E T go leor bealaí eile ar fáil chun páirt a ghlacadh in arduithe céime agus luaíochtaí a thuilleamh. Breathnaímid ar na roghanna eile seo.
Maidir le daoine nua B I T G E T, seo treoracha céim ar chéim maidir le conas iarratas a dhéanamh ar chód atreoraithe:
Chun tús a chur leis, tabhair cuairt ar B I T G E T agus cliceáil ar an gcnaipe gorm “Sínigh Isteach”.
Cuir sonraí úsáideora cruinne ar fáil mar go seiceálfar iad le haghaidh comhlíonadh nósanna imeachta KYC agus AML.
Nuair a iarrtar ort do chód atreoraithe a fháil, cuir isteach qp29.
Críochnaigh an próiseas clárúcháin agus comhlánaigh aon fhíorú riachtanach.
Nuair a bheidh na coinníollacha go léir comhlíonta, is féidir leat an bónas fáilte a fháil láithreach.
Cinntíonn an cur chuige seo gur féidir le húsáideoirí nua an próiseas clárúcháin a chomhlánú go héasca fiú gan cód atreoraithe agus bónas fáilte a fháil tar éis dóibh na ceanglais atá leagtha síos a chomhlíonadh.
Cad é an cód atreoraithe molta do B I T G E T?
Cód atreoraithe B I T G E T – qp29. Chun 30% a bhaint as do choimisiún B I T G E T, níl le déanamh ach na céimeanna seo a leanúint:
Cláraigh cuntas nua le B I T G E T .
Bí cinnte go n-úsáideann tú an cód tagartha B I T G E T qp29.
Cé mhéad atá sa bhónas atreoraithe do B I T G E T?
Tabhair cuireadh do chairde a bheith páirteach i B I T G E T agus sciar den chomhthiomsú duaise atreoraithe a bhuachan le chéile! Is féidir le gach cara dá dtagraíonn tú $50 a thuilleamh, suas go huasmhéid $1,000 in aghaidh an úsáideora. Is féidir le húsáideoirí cuireadh a thabhairt do chairde clárú le B I T G E T. Má chomhlíonann siad na ceanglais go léir, gheobhaidh tú féin agus do chairde bónais trádála de $50 suas go dtí an uasteorainn.
Conas a gheobhaidh mé an bónas B I T G E T?
Pointí a thuilleamh gach lá agus iad a mhalartú le haghaidh USDT. Críochnaigh an dúshlán laistigh de sheacht lá chun gach luach saothair a dhíghlasáil. Cláraigh chun pacáiste fáilte dar luach $1,000 a fháil. Taisce ar a laghad $50 chun 200 pointe a thuilleamh. Déan do chéad trádáil ar fiú ar a laghad $50 agus 500 pointe a thuilleamh.
An gcuirtear lascainí coimisiúin trádála i bhfeidhm go huathoibríoch?
Cinnte. Nuair a chláraíonn tú lenár gcód atreoraithe eisiach B I T G E T qp29, cuirfear an lascaine 30% i bhfeidhm go huathoibríoch. Níl gá le gníomh breise. Léim isteach sa trádáil agus bain tairbhe as lascaine buan 30% ar gach coimisiún.
Cód atreoraithe B I T G E T: qp29 (Bónas clárúcháin B I T G E T 1000 USDT) | Cód promo nua B I T G E T 2024An bhfuil an cód atreoraithe B I T G E T á lorg agat? Is é an ceann deireanach do 2024 ná qp29. Leis an gcód seo gheobhaidh tú lascaine 30%. Ina theannta sin, is féidir le húsáideoirí nua B I T G E T a chláraíonn leis an gcód promo “qp29” duais tionscnaimh eisiach ar fiú suas le $1,000 a fháil.Cad é an cód atreoraithe B I T G E T?Feidhmíonn an cód “qp29” sa chlár BIT G E T mar chód atreoraithe. Tríd an gcód seo a chur isteach gheobhaidh tú laghdú buan ar tháillí trádála chomh maith le lascaine 30% ar do cheirdeanna. Má roinneann tú do chód atreoraithe le do chairde, beidh deis agat freisin bónas flaithiúil 50% a bhuachan. Trí úsáid a bhaint as an gcód seo tugtar deis luachmhar táillí a laghdú agus d’fhéadfadh do thuilleamh a mhéadú trí dhaoine eile a mhealladh chuig an ardán.Cad é an cód atreoraithe B I T G E T 2024 is fearr?Is é qp29 an cód atreoraithe B I T G E T a mholtar go mór. Má úsáideann tú an cód seo agus tú ag clárú gheobhaidh tú bónas flaithiúil $100. Má roinneann tú do chód le do chairde, tá an deis agat coimisiún ollmhór 50% a thuilleamh. Tugann sé seo go bunúsach an deis duit uasmhéid bónas clárúcháin suas le $1,000 a fháil mar luach saothair fáilte. Is bealach iontach é seo chun do thaithí trádála a leathnú le buntáistí breise agus daoine eile a spreagadh chun páirt a ghlacadh agus a luach saothair féin a thuilleamh.Conas cód atreoraithe B I T G E T a úsáidTá an cód atreoraithe B I T G E T ar fáil d’úsáideoirí nua nach bhfuil cláraithe fós ar an malartán. Ar an drochuair, má tá cuntas agat cheana féin, ní bheidh tú in ann an cód atreoraithe a úsáid.Mar sin féin, cuireann B I T G E T go leor bealaí eile ar fáil chun páirt a ghlacadh in arduithe céime agus luaíochtaí a thuilleamh. Breathnaímid ar na roghanna eile seo.Maidir le daoine nua B I T G E T, seo treoracha céim ar chéim maidir le conas iarratas a dhéanamh ar chód atreoraithe:Chun tús a chur leis, tabhair cuairt ar B I T G E T agus cliceáil ar an gcnaipe gorm “Sínigh Isteach”.Cuir sonraí úsáideora cruinne ar fáil mar go seiceálfar iad le haghaidh comhlíonadh nósanna imeachta KYC agus AML.Nuair a iarrtar ort do chód atreoraithe a fháil, cuir isteach qp29.Críochnaigh an próiseas clárúcháin agus comhlánaigh aon fhíorú riachtanach.Nuair a bheidh na coinníollacha go léir comhlíonta, is féidir leat an bónas fáilte a fháil láithreach.Cinntíonn an cur chuige seo gur féidir le húsáideoirí nua an próiseas clárúcháin a chomhlánú go héasca fiú gan cód atreoraithe agus bónas fáilte a fháil tar éis dóibh na ceanglais atá leagtha síos a chomhlíonadh.Cad é an cód atreoraithe molta do B I T G E T?Cód atreoraithe B I T G E T – qp29. Chun 30% a bhaint as do choimisiún B I T G E T, níl le déanamh ach na céimeanna seo a leanúint:Cláraigh cuntas nua le B I T G E T .Bí cinnte go n-úsáideann tú an cód tagartha B I T G E T qp29.Cé mhéad atá sa bhónas atreoraithe do B I T G E T?Tabhair cuireadh do chairde a bheith páirteach i B I T G E T agus sciar den chomhthiomsú duaise atreoraithe a bhuachan le chéile! Is féidir le gach cara dá dtagraíonn tú $50 a thuilleamh, suas go huasmhéid $1,000 in aghaidh an úsáideora. Is féidir le húsáideoirí cuireadh a thabhairt do chairde clárú le B I T G E T. Má chomhlíonann siad na ceanglais go léir, gheobhaidh tú féin agus do chairde bónais trádála de $50 suas go dtí an uasteorainn.Conas a gheobhaidh mé an bónas B I T G E T?Pointí a thuilleamh gach lá agus iad a mhalartú le haghaidh USDT. Críochnaigh an dúshlán laistigh de sheacht lá chun gach luach saothair a dhíghlasáil. Cláraigh chun pacáiste fáilte dar luach $1,000 a fháil. Taisce ar a laghad $50 chun 200 pointe a thuilleamh. Déan do chéad trádáil ar fiú ar a laghad $50 agus 500 pointe a thuilleamh.An gcuirtear lascainí coimisiúin trádála i bhfeidhm go huathoibríoch?Cinnte. Nuair a chláraíonn tú lenár gcód atreoraithe eisiach B I T G E T qp29, cuirfear an lascaine 30% i bhfeidhm go huathoibríoch. Níl gá le gníomh breise. Léim isteach sa trádáil agus bain tairbhe as lascaine buan 30% ar gach coimisiún. Read More
Henvisningskode B I T G E T: qp29 (B I T G E T 1000 USDT registreringsbonus)
Henvisningskode B I T G E T: qp29 (B I T G E T 1000 USDT registreringsbonus) | Ny kampagnekode B I T G E T
Henvisningskode B I T G E T: qp29 (B I T G E T 1000 USDT registreringsbonus) | Ny kampagnekode B I T G E T 2024
Leder du efter henvisningskoden B I T G E T? Den sidste for 2024 er qp29. Med denne kode får du 30% rabat. Derudover kan nye B I T G E T-brugere, der tilmelder sig med kampagnekoden “qp29”, modtage en eksklusiv kampagnebelønning til en værdi af op til $1.000.
Hvad er henvisningskoden B I T G E T?
Koden “qp29” i BIT G E T-programmet fungerer som en henvisningskode. Ved at indtaste denne kode vil du modtage en permanent reduktion i handelsgebyrer samt 30% rabat på dine handler. Hvis du deler din henvisningskode med dine venner, har du også en chance for at vinde en generøs 50% bonus. Brug af denne kode giver en værdifuld mulighed for at reducere gebyrer og potentielt øge din indtjening ved at tiltrække andre til platformen.
Hvad er den bedste B I T G E T 2024 henvisningskode?
Den stærkt anbefalede B I T G E T-henvisningskode er qp29. Hvis du bruger denne kode, når du tilmelder dig, vil du modtage en generøs $100 bonus. Hvis du deler din kode med dine venner, har du mulighed for at tjene en kæmpe kommission på 50%. Dette giver dig i bund og grund muligheden for at modtage en maksimal tilmeldingsbonus på op til $1.000 som en velkomstbelønning. Dette er en fantastisk måde at udvide din handelsoplevelse med yderligere fordele, mens du opmuntrer andre til at deltage og tjene deres egne belønninger.
Sådan bruger du henvisningskoden B I T G E T
Henvisningskoden B I T G E T er tilgængelig for nye brugere, som endnu ikke er registreret på børsen. Hvis du allerede har en konto, vil du desværre ikke kunne bruge henvisningskoden.
B I T G E T tilbyder dog flere andre måder at deltage i kampagner og optjene belønninger på. Lad os se på disse alternativer.
For B I T G E T nybegyndere er her trin-for-trin instruktioner om, hvordan man ansøger om en henvisningskode:
For at komme i gang skal du besøge B I T G E T og klikke på den blå “Log ind”-knap.
Angiv nøjagtige brugeroplysninger, da de vil blive kontrolleret for overholdelse af KYC- og AML-procedurer.
Når du bliver bedt om din henvisningskode, skal du indtaste qp29.
Fuldfør registreringsprocessen og fuldfør alle nødvendige bekræftelser.
Når alle betingelser er opfyldt, kan du straks modtage velkomstbonussen.
Denne tilgang sikrer, at nye brugere nemt kan gennemføre registreringsprocessen selv uden en henvisningskode og modtage en velkomstbonus efter at have opfyldt de fastsatte krav.
Hvad er den anbefalede henvisningskode for B I T G E T?
Henvisningskode B I T G E T – qp29. For at få 30 % rabat på din B I T G E T-kommission skal du blot følge disse trin:
Registrer en ny konto hos B I T G E T.
Sørg for at bruge referencekoden B I T G E T qp29.
Hvor meget er henvisningsbonussen for B I T G E T?
Inviter dine venner til at deltage i B I T G E T og vind en del af henvisningspræmiepuljen sammen! Hver ven, du henviser, kan tjene $50, op til et maksimum på $1.000 pr. bruger. Brugere kan invitere venner til at registrere sig hos B I T G E T. Hvis de opfylder alle kravene, vil du og dine venner modtage handelsbonusser på $50 op til maksimumgrænsen.
Hvordan får jeg B I T G E T bonussen?
Optjen point dagligt og byt dem til USDT. Gennemfør udfordringen inden for syv dage for at låse op for alle belønninger. Tilmeld dig for at modtage en velkomstpakke til en værdi af $1.000. Indbetal mindst $50 for at optjene 200 point. Lav din første handel til en værdi af mindst $50 og optjen 500 point.
Anvendes handelskommissionsrabatter automatisk?
Absolut. Når du registrerer dig med vores eksklusive henvisningskode B I T G E T qp29, vil 30% rabatten blive anvendt automatisk. Der kræves ingen yderligere handling. Du skal bare dykke ned i handel og nyde godt af en permanent 30% rabat på alle kommissioner.
Henvisningskode B I T G E T: qp29 (B I T G E T 1000 USDT registreringsbonus) | Ny kampagnekode B I T G E THenvisningskode B I T G E T: qp29 (B I T G E T 1000 USDT registreringsbonus) | Ny kampagnekode B I T G E T 2024Leder du efter henvisningskoden B I T G E T? Den sidste for 2024 er qp29. Med denne kode får du 30% rabat. Derudover kan nye B I T G E T-brugere, der tilmelder sig med kampagnekoden “qp29”, modtage en eksklusiv kampagnebelønning til en værdi af op til $1.000.Hvad er henvisningskoden B I T G E T?Koden “qp29” i BIT G E T-programmet fungerer som en henvisningskode. Ved at indtaste denne kode vil du modtage en permanent reduktion i handelsgebyrer samt 30% rabat på dine handler. Hvis du deler din henvisningskode med dine venner, har du også en chance for at vinde en generøs 50% bonus. Brug af denne kode giver en værdifuld mulighed for at reducere gebyrer og potentielt øge din indtjening ved at tiltrække andre til platformen.Hvad er den bedste B I T G E T 2024 henvisningskode?Den stærkt anbefalede B I T G E T-henvisningskode er qp29. Hvis du bruger denne kode, når du tilmelder dig, vil du modtage en generøs $100 bonus. Hvis du deler din kode med dine venner, har du mulighed for at tjene en kæmpe kommission på 50%. Dette giver dig i bund og grund muligheden for at modtage en maksimal tilmeldingsbonus på op til $1.000 som en velkomstbelønning. Dette er en fantastisk måde at udvide din handelsoplevelse med yderligere fordele, mens du opmuntrer andre til at deltage og tjene deres egne belønninger.Sådan bruger du henvisningskoden B I T G E THenvisningskoden B I T G E T er tilgængelig for nye brugere, som endnu ikke er registreret på børsen. Hvis du allerede har en konto, vil du desværre ikke kunne bruge henvisningskoden.B I T G E T tilbyder dog flere andre måder at deltage i kampagner og optjene belønninger på. Lad os se på disse alternativer.For B I T G E T nybegyndere er her trin-for-trin instruktioner om, hvordan man ansøger om en henvisningskode:For at komme i gang skal du besøge B I T G E T og klikke på den blå “Log ind”-knap.Angiv nøjagtige brugeroplysninger, da de vil blive kontrolleret for overholdelse af KYC- og AML-procedurer.Når du bliver bedt om din henvisningskode, skal du indtaste qp29.Fuldfør registreringsprocessen og fuldfør alle nødvendige bekræftelser.Når alle betingelser er opfyldt, kan du straks modtage velkomstbonussen.Denne tilgang sikrer, at nye brugere nemt kan gennemføre registreringsprocessen selv uden en henvisningskode og modtage en velkomstbonus efter at have opfyldt de fastsatte krav.Hvad er den anbefalede henvisningskode for B I T G E T?Henvisningskode B I T G E T – qp29. For at få 30 % rabat på din B I T G E T-kommission skal du blot følge disse trin:Registrer en ny konto hos B I T G E T.Sørg for at bruge referencekoden B I T G E T qp29.Hvor meget er henvisningsbonussen for B I T G E T?Inviter dine venner til at deltage i B I T G E T og vind en del af henvisningspræmiepuljen sammen! Hver ven, du henviser, kan tjene $50, op til et maksimum på $1.000 pr. bruger. Brugere kan invitere venner til at registrere sig hos B I T G E T. Hvis de opfylder alle kravene, vil du og dine venner modtage handelsbonusser på $50 op til maksimumgrænsen.Hvordan får jeg B I T G E T bonussen?Optjen point dagligt og byt dem til USDT. Gennemfør udfordringen inden for syv dage for at låse op for alle belønninger. Tilmeld dig for at modtage en velkomstpakke til en værdi af $1.000. Indbetal mindst $50 for at optjene 200 point. Lav din første handel til en værdi af mindst $50 og optjen 500 point.Anvendes handelskommissionsrabatter automatisk?Absolut. Når du registrerer dig med vores eksklusive henvisningskode B I T G E T qp29, vil 30% rabatten blive anvendt automatisk. Der kræves ingen yderligere handling. Du skal bare dykke ned i handel og nyde godt af en permanent 30% rabat på alle kommissioner. Read More
Using on prem AD security group for DLP
Our compliance team is testing DLP in our environment and has run into a hiccup. It seems when they use a security group with a source of Windows Server AD for the Scope of Exchange, SharePoint, OneDrive and Teams, the policy does not work (see attachment DLP_WindowsServerAD group.png for example of what I mean by source). When using an on prem AD group for scope, users are still able to send SSNs or CC#s in Teams messages or emails, for example.
However, when they use a security group with a source of Cloud for the Scope, the policy does work (see attachment DLP_Cloud group.png for example).
To clarify where I’m talking about, when you’re editing a DLP, click Next twice and you’re on the Choose where to apply the policy page. Here you click Edit in the far right column to set which groups are in scope for the given policy (see attachment DLP_scope.png).
Is this expected behavior, for DLP to have an issue using groups from on prem AD to scope the policy?
Our compliance team is testing DLP in our environment and has run into a hiccup. It seems when they use a security group with a source of Windows Server AD for the Scope of Exchange, SharePoint, OneDrive and Teams, the policy does not work (see attachment DLP_WindowsServerAD group.png for example of what I mean by source). When using an on prem AD group for scope, users are still able to send SSNs or CC#s in Teams messages or emails, for example. However, when they use a security group with a source of Cloud for the Scope, the policy does work (see attachment DLP_Cloud group.png for example). To clarify where I’m talking about, when you’re editing a DLP, click Next twice and you’re on the Choose where to apply the policy page. Here you click Edit in the far right column to set which groups are in scope for the given policy (see attachment DLP_scope.png). Is this expected behavior, for DLP to have an issue using groups from on prem AD to scope the policy? Read More
MY WINDOWS 10 COPILOT PREVIEW IS GONE HOW CAN I GET IT BACK?
I Re-installed Windows 10 after 6 years…. the one i installed in Feb 2024. was getting preview updates as i joined insider… in March 2024 Copilot Preview icon appeared automatically. i had to re-install windows on APRIL 13, 2024. i updated ….no preview updates installed then i signed into windows insider and got preview update & its release tell about improvement in performance of Copilot preview… but i dont have that icon of copilot preview ( which appeared automatically in old windows installed in feb removed in april 2024) this time…..??????
I Re-installed Windows 10 after 6 years…. the one i installed in Feb 2024. was getting preview updates as i joined insider… in March 2024 Copilot Preview icon appeared automatically. i had to re-install windows on APRIL 13, 2024. i updated ….no preview updates installed then i signed into windows insider and got preview update & its release tell about improvement in performance of Copilot preview… but i dont have that icon of copilot preview ( which appeared automatically in old windows installed in feb removed in april 2024) this time…..?????? Read More
Trusted Signing is in Public Preview!
The Trusted Signing service is in Public Preview: Trusted Signing is in Public Preview – Microsoft Community Hub!
The Trusted Signing service is in Public Preview: Trusted Signing is in Public Preview – Microsoft Community Hub! Read More
Standalone Intune subscription for onboarding computer with Windows 11/10
Hello,
I have 3 computers that are used for running specific company workloads and are not used by users… These are running Windows 11 or 10 OS. 2 of them are on-prem and one is a VM in Azure.
Now, I would like to have them managed by Intune – same as all end user computers. What is the recommended approach to onboard them to Intune? Is there any “per device” Intune subscription? Or should I just have an extra user account that I will assign Intune subscription and use that account to log in to those computers so that they are enrolled to Intune with that account? Would it cause any conflicts if I have one user account used to onboard several devices?
Not sure what is the best way in those situations…
Thank you
Hello, I have 3 computers that are used for running specific company workloads and are not used by users… These are running Windows 11 or 10 OS. 2 of them are on-prem and one is a VM in Azure. Now, I would like to have them managed by Intune – same as all end user computers. What is the recommended approach to onboard them to Intune? Is there any “per device” Intune subscription? Or should I just have an extra user account that I will assign Intune subscription and use that account to log in to those computers so that they are enrolled to Intune with that account? Would it cause any conflicts if I have one user account used to onboard several devices? Not sure what is the best way in those situations… Thank you Read More
Protecting your IP in the Azure Marketplace
The Azure Marketplace is an online store for Azure customers to discover, evaluate, and purchase a wide array of solutions with integrated billing and easy deployment. While the Azure Marketplace is used for billing, it does not manage licenses directly. It’s essential to integrate your own license management system to protect your intellectual property (IP) from unauthorized access or misuse.
We are seeing an increase in these types of questions, especially from our AI partners. This article outlines strategies to safeguard your IP effectively when deploying an Azure VM or Azure Container Offer.
Obfuscate Your Code
Restrict Shell Access
Use a License Manager
Protect AI Models
Secure Containers with ENTRYPOINT
Utilize Azure Metadata Service
Conclusion
Microsoft Tech Community – Latest Blogs –Read More
AI Frontiers: Human insights on AI training
Recent developments in AI require more computing power to train the models. During training, the model learns from data how to perform specific tasks. Now, recent models like GPT, which have billions of parameters, require memory-intensive processing and power-intensive trainings. This requires a massive infrastructure. Thus, we have two main components for AI model training: data and compute. In my post, I explained training by drawing simple comparisons with human learning, discussed why the cloud can be a perfect fit for training AI models, and outlined some future directions that I believe will be important.
Inferencing and training
Let’s start by briefly comparing the training of AI models with the human learning process. A major difference is that the training of current models is massive and relatively fast, whereas human learning is much more diverse and incremental process, spanning over a long period of time. Consider the development of a baby’s or child’s brain; the learning process here includes observations and discoveries across a wide range of fields over the years. Human learning is a much more incremental and slow process compared to the massive model training conducted today.
AI models are trained on massive datasets, through which they learn to perform specific tasks. During training, these models learn from a training dataset that contains broad knowledge, enabling them to exhibit behaviours that can be described as common sense/behaviour. The objective of this base training is to instil such common sense, where the model showcases human-like behaviours based on general/shared knowledge. In contrast, the human brain undergoes a different kind of trainings by nature, where the subjects are diverse and the environment is constantly changing. Each day, we learn from a multitude of small observations across various fields.
I would like to emphasize two key concepts here: multimodality and model refinement.
Multi-modality & Domain-specific Finetuning
As the brain is complex, we are not sure exactly how different pieces of information correlate within it. Take a simple example: How does reading books improve math skills? We don’t know the exact correlation between them, but we do know that one exists. Skills or insights gained from one area might be beneficial when performing tasks in another field. This underscores the importance of direction with multi-modality, which enhances a model’s ability to reason about an answer. Reasoning is also related to common sense, which we mentioned earlier. A model can exhibit better behaviour when trained on diverse tasks from different domains. Referring again to human learning, we noted that it is more like a slow, incremental process across various fields over a long period. Here, we can draw some parallels between multi-modality/training in different domains and human learning across different fields.
Optimized Fine-tuning
As trained models should be adapted for production use, model refinement is becoming an increasingly important topic. Today, model refinement is achieved through a process called fine-tuning. Through fine-tuning, the model is adapted to specific domains by changing/reconfiguring its parameters. To make it easier to understand, let’s consider an example of human learning. Imagine an exam period where you have exams on different subjects, with one week between each exam. Ideally, you should focus your preparation on the subject of the next exam each week. At the exam, this enables you to answer questions related to that subject more effectively. Fine-tuning is similar in some respects, as the model is fine-tuned specifically for a domain to perform tasks better within that domain. When you fine-tune your model on physics datasets, it is expected to answer physics-related questions better. Similarly, when you fine-tune on Azure Q&A, you can expect your model to answer questions in the Azure context more accurately.
Here we speak of a customization of the model. The model is refined in terms of we adjust model parameters. Thus, we do not require to retrain the base model from scratch. But just to mention, not like training but fine-tuning is also a compute & cost intensive process.
A significant improvement in this area came with LoRA. The concept is to conduct training focused only on the parts of the model that need improvement. Thus, a very small part of the model is fine-tuned (<1%). This requires much less memory in comparison. The added parameters, known as LoRAs, act as adapters associated with the task. The resulting models with adapters can be viewed as experts, effective in their respective tasks. They are referred to as LoRA Experts.
LoRA: Low-Rank Adaptation of Large Language Models – Microsoft Research
To draw an analogy with the exam period example mentioned earlier, imagine you have one exam each week from a different subject. For each exam, you need specific knowledge for that subject, so ideally, you prepare the week before to be capable of understanding and solving the exam problems related to that specific subject. I see many similarities with the concept of LoRA here. Using different LoRA adapters will provide expert models that can be used for task- or domain-specific applications. Based on a user query, the appropriate LoRA adapter can be selected from a library. This allows the use of an expert model (LoRA Expert) for the task, where it is expected to perform well. The analogy here is like a person who has prepared for a week for a biology exam, then taking the biology exam.
Training LoRA models is very energy-efficient, as it reduces the number of trainable parameters. This introduces a new concept: centralized training for the base model (like GPT) and decentralized training for the Expert models (LoRA adapters).
The initial large-scale training required will be done centrally to generate a base model. This base model will then be used with relatively small refinements, known as LoRA adapters, in a decentralized manner. This approach is logical by nature because the fine-tuning of the model is mostly done for production, where the model is expected to serve a specific domain that requires domain-specific adaptation. This does not necessarily require large-scale centralized training.
Initially, we discussed multi-modality. I don’t want to delve deeply into LoRA here. I would like to just highlight a recent work on multi-modal adaptation of LoRA, which involves the addition of ~2.5% more parameters to the model. The user can refer to [2311.11501] MultiLoRA: Democratizing LoRA for Better Multi-Task Learning (arxiv.org)
Transparent checkpointing
During training, things can go wrong. Ideally, you don’t want the training to have to restart, as this may not be possible due to time and cost constraints. Transparent checkpointing is a promising step forward. It allows you to set checkpoints during the model training process. If an error occurs during training, you can revert to the previous checkpoint without needing to restart from the beginning. This is a significant cost-saving improvement and also makes it easier to change models at the hardware level. Since the model states can be saved, training can be paused and another model, along with its state, can be uploaded. This offers a lot of flexibility, especially in the cloud. I believe that in the future, it might even provide interesting insights into training itself, as it allows observation of disk states at different training milestones.
It is demonstrated as the GPU-adapted version of CRIU for Linux. With CRIU it is possible to freeze and save the CPU state by containers.
As checkpointing builds some kind of insurance, as no complete training restart is needed. Still there is a custom decision needed to be made, where you can choose to set less or more frequent checkpoints. Here comes the trade-off between the cost of more frequent checkpoint vs costs in the case of training failure/loss.
Why checkpoint optimization for large model training matters? – MS Learn
Energy Consumption
The topic of energy consumption and the efficiency of AI systems is very important. To create a sustainable platform, the underlying hardware must be efficient as first. Two key aspects to consider are the efficiency and utilization of the infrastructure. The hardware should be used efficiently and be inherently efficient.
The benefits of training AI models on Azure Cloud Infrastructure include scalability. We are talking about multiple GPUs not operating on the same board and not even in the same rack. They are spread out through consumption and heat. It has a global scheduler across one global hardware fleet of CPUs and GPUs. Thus, this infrastructure can scale from modest training sessions up to an OpenAI supercomputing system.
Before the Azure AI infrastructure was announced, it was expected that the infrastructure would be mostly used for training. However, unexpectedly, the trend appears to be different, showing a comparable utilization of the platform for both training and inference. Inference is an ongoing process that also requires a significant amount of power.
The power consumption is often correlated with the complexity of the task. It is not easy to measure. As of today, we can track the input and output tokens of the model. You can think of tokens as pieces of words, where approximately 750 words are represented by ~1000 tokens. Pricing is also based on the number of tokens. When we consider this, each prompt can lead to a task with varying complexity. Energy usage is highly correlated with complexity, as a more complex prompt will require more memory and hardware resources. As energy becomes more of a critical aspect and even a limitation, assessing the prompt in terms of complexity might help in finding the most efficient hardware fit and provide insights about the required power.
LLM application profiles
Currently, an interesting approach is the use of LLM application profiles. With LLM application profiles, users can be categorized according to the complexity of their queries. This enables matching the complexity of the query with the required or more specialized compute power. Here you can see a categorization of four different use cases with respect to whether the user query requires more prompt or generation-oriented processing: Content Creation, Prompt Engineering, Summarization, and Chatbot.
An optimization related to this is Splitwise. Splitwise introduces the concept of Phase Splitting, which separates the prompt computation and token-generation phases. This is intended to optimally utilize available hardware and parallelize as well. User can refer to Splitwise improves GPU usage by splitting LLM inference phases – Microsoft Research
Project Forge
Recent work like Project Forge showed that using a specialized GPU/accelerator could also be possible and optimal. Forge is a resource manager that can schedule across GPUs/accelerators. It has a global scheduler on one global hardware fleet CPUs and GPUs. The GPUs are clustered with High bandwidth network – Infiniband – to provide a good quality connectivity. On layer on top of them are the hypervisors. Networks are taken care of and tuned to be maintained with a high utilization & efficiency.
Models will be available via AI Frameworks like ONNIX, Deepspeed (to train), Azure OpenAI on top of custom kernels and different kernel libraries. This will provide the user the opportunity to use different and specialized accelerators on NVIDIA, AMD GPUs and Maia.
What runs ChatGPT? Inside Microsoft’s AI supercomputer | Featuring Mark Russinovich
What to learn?
Training Dataset
You don’t want your kids to see harmful content or to go to locations where they might witness non-exemplary behaviour. The same applies to AI models. When a model is exposed to harmful elements or biased content during its training, it might also reflect that in its learned behaviour. You should keep your model away from the toxic junk on the internet.
Even if you protect your kid/model from harmful content, a bad actor/malicious user can still attempt to interact with it for their own purposes. A recent article by Crescendo reveals an interesting case of a ‘jailbreak’ as well, where a user tries to convince/fool the model into saying harmful information. This reported behaviour showcases how complex it can be to draw the lines.
What to unlearn? (forget)
Above, we talked mostly about training and learning. But what about forgetting? We can refer to this as ‘unlearning‘ by AI models. The concept of enabling models to forget involves generating a process, after training, that allows them to unlearn information associated with content that needs to be removed from the training data. I think this is promising, as it can be used to unlearn harmful or biased content. Furthermore, it can be utilized for protecting intellectual property (IP).
The question here is: While the model unlearns certain content, can it still perform as well as before on tasks that are unrelated to that content? The paper presents promising results, reporting that performance on benchmarks remains comparable.
Who’s Harry Potter? Making LLMs forget – Microsoft Research
A second, related question arises: How big does the model need to be to continue performing the task effectively? The user can refer to for further insights: TinyStories: How Small Can Language Models Be and Still Speak Coherent English? – Microsoft Research
Unlearning information, characters, events, and items related to the person/event, while carrying forward valuable and helpful configurations, allows the model to continue performing the task effectively.
Today, we often view models as a black box, lacking the capability to fully understand them due to their complexity. The reasoning behind the model’s output and interpretability is the focus here, to make AI more explainable. In research, this direction is referred to as Explainable AI. I think that, among all the new research directions above, the new fine-tuning adapters, forgetting capabilities, multi-modality, and the ideal model size will help us gain some insights and unlock some mysteries with efficient learning to perform the tasks. In parallel, this also unlocks new possibilities in GPU usage as a consequence.
all the images in this post are AI-generated – by Copilot Designer.
Microsoft Tech Community – Latest Blogs –Read More
Stop m365 access from personal laptops
I want to block my users ability to access corporate outlook, excel, teams, SharePoint when they open the portal.office.com from their personal laptop. What is the method of doing this please?
I want to block my users ability to access corporate outlook, excel, teams, SharePoint when they open the portal.office.com from their personal laptop. What is the method of doing this please? Read More
Retain text formatting when using Concat or Textjoin
Is it possible to retain text format when concatenating cells? In this example, I would like to combine cells a2, b2, and c2 retaining the italics formatting on a2. Thanks for your help.
Is it possible to retain text format when concatenating cells? In this example, I would like to combine cells a2, b2, and c2 retaining the italics formatting on a2. Thanks for your help. Read More
Public Preview of Azure Arc Site Manager
This week we are excited to announce the Public Preview of Azure Arc site manager. We designed site manager to meet the needs of customers who manage solutions on the adaptive cloud and want to view and monitor their resources according to their physical locations, such as stores, restaurants, and factories. Within site manager, customers can create Arc sites to represent their on-premises environments and see centralized monitoring information across their edge infrastructure.
Get Started
You can get started by navigating to site manager within Azure Arc (aka.ms/sitemanager). Sites can be created on a resource group or subscription today, and site manager currently supports Azure Stack HCI, Azure Arc-enabled servers & VMs, Azure Arc-enabled Kubernetes, and Azure IoT Operations assets. After site creation, all supported resources automatically appear within the site.
For at-scale scenarios, Arc sites can also be created via Infrastructure-as-Code. To learn more, see aka.ms/IaCQuickstart.
Site Monitoring Capabilities
Once the site is created, you can see aggregated connectivity, alerts, and updates for the site. Connectivity status comes automatically for supported resources, update status via Azure Update Manager, and alerts through Azure Monitor, which can be configured following this guidance. Additionally, each Arc site has its own page where more detailed troubleshooting and remediation can be performed.
Coming Soon
Site manager is currently in public preview, and the following features will come soon:
Ability to create sites on a subset of resources in multiple resource groups and/or subscriptions
Support for more resource types, including Arc-enabled SQL servers, Arc-enabled VMware vSphere, and some cloud resources
Expansion to security and health monitoring
Next Steps
Check out our documentation (aka.ms/sitedocs) and go to the Azure portal to try out Azure Arc site manager today (aka.ms/sitemanager). Additionally, feel free to provide feedback to our team here.
Microsoft Tech Community – Latest Blogs –Read More
Webinar: How Takeda used generative AI to create a report generation app
In the healthcare industry, report generation is a crucial and time-consuming task that requires sourcing and populating information from various sources. Takeda, a global biopharmaceutical company, worked with their Microsoft code-with team to create a minimum viable product (MVP) application that could accelerate this process using generative AI.
In this webinar, we will discuss the experience with Takeda and Microsoft including the challenges, learnings, and reference open-source code on GitHub that was part of the engagement.
The session will be held April 30th, 2024 @ 12pm EDT / 11am CDT / 10am MDT / 9am PST
Register Here to add to your calendar
Agenda
Overview of the use case and the business problem
Demonstration of the MVP app and its features
Technical details of how the app was built and where to find the source code
Lessons learned
Intelligent App Chronicles for Healthcare
The Intelligent App Chronicles for Healthcare is a webinar series designed to provide health and life sciences companies with a comprehensive guide to building intelligent healthcare applications.
The series will cover a wide range of topics including Azure Container Services, Azure AI Services, Azure Integration Services, and innovative solutions that can accelerate your Intelligent app journey. By attending these webinars, you will learn how to leverage the power of intelligent systems to build scalable and secure healthcare solutions that can transform the way you deliver care.
Our hosts will be: Shelly (Finch) Avery, Matthew Anderson, Rob McKenna & Adam Workman
Don’t miss this opportunity to learn from the experts and take your healthcare applications to the next level. Register now for the Intelligent App Chronicles for Healthcare webinar series, here.
Microsoft Tech Community – Latest Blogs –Read More
Power Platform & Dynamics 365 Newsletter – April 2024
April 2024 Edition
The newsletter is attached below.
Welcome to the April 2024 Edition of the Power Platform and Dynamics 365 CE Newsletter!
April was packed with news and highlights!
As usual we have a lot of news and highlights to catch up on and plan!
2024 release Wave 1 GA staring April 2024. Use Release Planner
Best Practice for AI Adoption
Upcoming Microsoft events
Review the new deprecations and removal updates.
Review Power Apps, Dataverse, Copilot product updates.
TIPS: USE COPILOT TO SUMMARIZE THE DOC OR ASK QUESTIONS.
Thanks & regards.
Power Platform & D365 Newsletter Team
—
Advanced Support for Partners (ASfP) and Premier Support for Partners (PSfP) are paid partner offerings at Microsoft that provide unmatched value through a wide range of Partner benefits including account management, technical cloud enablement consultations, and an elevated technical support experience across the Microsoft Cloud (Azure, Microsoft 365, Dynamics 365, Power Platform).
Partners in ASfP have higher Microsoft AI Cloud Partner Program Capability Scores, attain more Solutions Partner designations, and see uplifts across Azure, M365, and D365. View the data and learn more on the new ASfP Impact slide below.
Please review these resources to learn more and consider booking a meeting to speak directly with our teams for a better understanding of the value-added benefits of ASfP and PSfP.
Book a meeting with an ASfP Evangelist
Book a meeting with a PSfP Specialist
Visit the ASfP Website
Visit the PSfP Website
Download the ASfP Fact Sheet
View the ASfP Impact Slide
Stop by the ASfP Partner Community
April 2024 Edition
The newsletter is attached below.
Welcome to the April 2024 Edition of the Power Platform and Dynamics 365 CE Newsletter!
April was packed with news and highlights!
As usual we have a lot of news and highlights to catch up on and plan!
2024 release Wave 1 GA staring April 2024. Use Release Planner
Best Practice for AI Adoption
Upcoming Microsoft events
Review the new deprecations and removal updates.
Review Power Apps, Dataverse, Copilot product updates.
TIPS: USE COPILOT TO SUMMARIZE THE DOC OR ASK QUESTIONS.
Thanks & regards.
Power Platform & D365 Newsletter Team
—
Advanced Support for Partners (ASfP) and Premier Support for Partners (PSfP) are paid partner offerings at Microsoft that provide unmatched value through a wide range of Partner benefits including account management, technical cloud enablement consultations, and an elevated technical support experience across the Microsoft Cloud (Azure, Microsoft 365, Dynamics 365, Power Platform).
Partners in ASfP have higher Microsoft AI Cloud Partner Program Capability Scores, attain more Solutions Partner designations, and see uplifts across Azure, M365, and D365. View the data and learn more on the new ASfP Impact slide below.
Please review these resources to learn more and consider booking a meeting to speak directly with our teams for a better understanding of the value-added benefits of ASfP and PSfP.
Book a meeting with an ASfP Evangelist
Book a meeting with a PSfP Specialist
Visit the ASfP Website
Visit the PSfP Website
Download the ASfP Fact Sheet
View the ASfP Impact Slide
Stop by the ASfP Partner Community Read More
Excel Sumifs help
I need to use a sumifs formula to add up a group of numbers with 3 different criterias, and it also needs to subtract my varying goal for the day.
I.e
Sumifs(‘mysummary’!F:F,’goals’!D:D,’goals’!F5,’goals’!E:E,’goals’!G5) but each of those numbers need to subtract my goal set for the day in theory a
Sumifs(‘mysummary’!F:F,’goals’!D:D-M5,’goals’!F5,’goals’!E:E,’goals’!G5)
I need to use a sumifs formula to add up a group of numbers with 3 different criterias, and it also needs to subtract my varying goal for the day. I.eSumifs(‘mysummary’!F:F,’goals’!D:D,’goals’!F5,’goals’!E:E,’goals’!G5) but each of those numbers need to subtract my goal set for the day in theory a Sumifs(‘mysummary’!F:F,’goals’!D:D-M5,’goals’!F5,’goals’!E:E,’goals’!G5) Read More
Formula needed to calculate average over current day in year
I’m looking for a formula to calculate a year-to-date daily average using Excel that would automatically change the amount of days as time goes on. Is there a function that can use a YTD sales quantity and divide by the current number of days from the beginning of the current year?
For example, say I have a total of 45,660 parts sold YTD as of April 22 2024. The average daily sales of that would be 45,660/112=407.7. Would I be able to use a function that would automatically change the 112 value to 113 as the calendar day advances?
I’m looking for a formula to calculate a year-to-date daily average using Excel that would automatically change the amount of days as time goes on. Is there a function that can use a YTD sales quantity and divide by the current number of days from the beginning of the current year? For example, say I have a total of 45,660 parts sold YTD as of April 22 2024. The average daily sales of that would be 45,660/112=407.7. Would I be able to use a function that would automatically change the 112 value to 113 as the calendar day advances? Read More
Business Applications Partner News: Week of April 22
Check out this week’s top resources to stay up-to-date on the latest Business Applications Partner News. Make sure to sign up for the new monthly Dynamics 365 and Power Platform partner newsletters launching soon.
What to register for:
THIS WEEK!
April 24 (Day 2): Q3 CSP Masters Copilot Sales & Technical Bootcamps
Starting April 24: April FY24 High Volume Acceleration Program (Advanced)
What to review/like/share:
Partner Alert: Announcing new features in Dynamics 365 Field Service and Supply Chain Management
Case studies:
Leapwork brings testing efficiencies to Dynamics 365 partners
Upzoids sparks transformation at All Pro Electrical using Power Pages
New FastTrack customer nomination instructions
Partner playbooks, newsletters, and guides
Power Platform Forrester survey
What to watch:
April 11 Tech Talk: Power Pages Site Copilot
New feature: Traceability in Dynamics 365 Supply Chain Management demo
Reminders: Register for the upcoming partner events!
Events:
May 2: Supply Chain Premium partner webinar
May 9: SMB Partner Hour
May 16-17: Directions Asia
May 21-23: Microsoft Build
May 30: Copilot Studio Partner Opportunity Webinar
Register for upcoming Microsoft AI Training Roadshows
Trainings:
Open April 1-May 31: Q4 Microsoft Catalyst Partner Training
April 30 (PDT), June 11 (IST) (BST): Dynamics 365 Supply Chain Management – Demand Planning Workshop
May 13-15 (PDT) | May 15-17 (IST) (BST): SMB Sales Bootcamp
Check out this week’s top resources to stay up-to-date on the latest Business Applications Partner News. Make sure to sign up for the new monthly Dynamics 365 and Power Platform partner newsletters launching soon.
What to register for:
THIS WEEK!
April 24 (Day 2): Q3 CSP Masters Copilot Sales & Technical Bootcamps
Starting April 24: April FY24 High Volume Acceleration Program (Advanced)
What to review/like/share:
Partner Alert: Announcing new features in Dynamics 365 Field Service and Supply Chain Management
Case studies:
Leapwork brings testing efficiencies to Dynamics 365 partners
Upzoids sparks transformation at All Pro Electrical using Power Pages
New FastTrack customer nomination instructions
Partner playbooks, newsletters, and guides
Power Platform Forrester survey
What to watch:
April 11 Tech Talk: Power Pages Site Copilot
New feature: Traceability in Dynamics 365 Supply Chain Management demo
Reminders: Register for the upcoming partner events!
Events:
May 2: Supply Chain Premium partner webinar
May 9: SMB Partner Hour
May 16-17: Directions Asia
May 21-23: Microsoft Build
May 30: Copilot Studio Partner Opportunity Webinar
Register for upcoming Microsoft AI Training Roadshows
Trainings:
Open April 1-May 31: Q4 Microsoft Catalyst Partner Training
April 30 (PDT), June 11 (IST) (BST): Dynamics 365 Supply Chain Management – Demand Planning Workshop
May 13-15 (PDT) | May 15-17 (IST) (BST): SMB Sales Bootcamp Read More
HELP with CTE or a Cursor to update multiple rows in 1 table ..selecting from Multiple databases
Server A Syetemtable of Dbname= ABC DbnameproductidABC123 Syetemtable of Dbname= XYZ DbnameproductidABC987 Syetemtable of Dbname= AQW DbnameproductidAQW123456 Like we have 1000 DB’s in Server A and each db has a system table 1 Main LOGIN info table in Server A Dabatase DB1 SELECT * from DB1. DBO.LOGIN table DBNameproduct IDABCNULLXYZA9065AQW33c@1442these rows in 1 main Login table are not matching the system table rows of each individual Databases Now I want to update 1 Main LOGIN info table in Server A Dabatase DB1, so that I get results matching each login table of all db’s SELECT * from DB1. DBO.LOGIN table DBNameproduct IDABC123XYZ987AQW123456
Server A Syetemtable of Dbname= ABC DbnameproductidABC123 Syetemtable of Dbname= XYZ DbnameproductidABC987 Syetemtable of Dbname= AQW DbnameproductidAQW123456 Like we have 1000 DB’s in Server A and each db has a system table 1 Main LOGIN info table in Server A Dabatase DB1 SELECT * from DB1. DBO.LOGIN table DBNameproduct IDABCNULLXYZA9065AQW33c@1442these rows in 1 main Login table are not matching the system table rows of each individual Databases Now I want to update 1 Main LOGIN info table in Server A Dabatase DB1, so that I get results matching each login table of all db’s SELECT * from DB1. DBO.LOGIN table DBNameproduct IDABC123XYZ987AQW123456 Read More