HjemGrupperSnakMereZeitgeist
Søg På Websted
På dette site bruger vi cookies til at levere vores ydelser, forbedre performance, til analyseformål, og (hvis brugeren ikke er logget ind) til reklamer. Ved at bruge LibraryThing anerkender du at have læst og forstået vores vilkår og betingelser inklusive vores politik for håndtering af brugeroplysninger. Din brug af dette site og dets ydelser er underlagt disse vilkår og betingelser.

Resultater fra Google Bøger

Klik på en miniature for at gå til Google Books

Indlæser...

Building a Data Warehouse: With Examples in SQL Server

af Vincent Rainardi

MedlemmerAnmeldelserPopularitetGennemsnitlig vurderingSamtaler
16Ingen1,312,394IngenIngen
Building a Data Warehouse: With Examples in SQL Server describes how to build a data warehouse completely from scratch and shows practical examples on how to do it. Author Vincent Rainardi also describes some practical issues he has experienced that developers are likely to encounter in their first data warehousing project, along with solutions and advice. The relational database management system (RDBMS) used in the examples is SQL Server; the version will not be an issue as long as the user has SQL Server 2005 or later. The book is organized as follows. In the beginning of this book (chapters 1 through 6), you learn how to build a data warehouse, for example, defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Then in chapters 7 through 10, you learn how to populate the data warehouse, for example, extracting from source systems, loading the data stores, maintaining data quality, and utilizing the metadata. After you populate the data warehouse, in chapters 11 through 15, you explore how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. Chapters 16 and 17 wrap up the book: After you have built your data warehouse, before it can be released to production, you need to test it thoroughly. After your application is in production, you need to understand how to administer data warehouse operation.… (mere)
Ingen
Indlæser...

Bliv medlem af LibraryThing for at finde ud af, om du vil kunne lide denne bog.

Der er ingen diskussionstråde på Snak om denne bog.

Ingen anmeldelser
ingen anmeldelser | tilføj en anmeldelse
Du bliver nødt til at logge ind for at redigere data i Almen Viden.
For mere hjælp se Almen Viden hjælpesiden.
Kanonisk titel
Oplysninger fra den engelske Almen Viden Redigér teksten, så den bliver dansk.
Originaltitel
Alternative titler
Oprindelig udgivelsesdato
Personer/Figurer
Vigtige steder
Vigtige begivenheder
Beslægtede film
Indskrift
Tilegnelse
Første ord
Citater
Sidste ord
Oplysning om flertydighed
Forlagets redaktører
Bagsidecitater
Originalsprog
Canonical DDC/MDS
Canonical LCC

Henvisninger til dette værk andre steder.

Wikipedia på engelsk

Ingen

Building a Data Warehouse: With Examples in SQL Server describes how to build a data warehouse completely from scratch and shows practical examples on how to do it. Author Vincent Rainardi also describes some practical issues he has experienced that developers are likely to encounter in their first data warehousing project, along with solutions and advice. The relational database management system (RDBMS) used in the examples is SQL Server; the version will not be an issue as long as the user has SQL Server 2005 or later. The book is organized as follows. In the beginning of this book (chapters 1 through 6), you learn how to build a data warehouse, for example, defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Then in chapters 7 through 10, you learn how to populate the data warehouse, for example, extracting from source systems, loading the data stores, maintaining data quality, and utilizing the metadata. After you populate the data warehouse, in chapters 11 through 15, you explore how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. Chapters 16 and 17 wrap up the book: After you have built your data warehouse, before it can be released to production, you need to test it thoroughly. After your application is in production, you need to understand how to administer data warehouse operation.

Ingen biblioteksbeskrivelser fundet.

Beskrivelse af bogen
Haiku-resume

Aktuelle diskussioner

Ingen

Populære omslag

Ingen

Quick Links

Vurdering

Gennemsnit: Ingen vurdering.

Er det dig?

Bliv LibraryThing-forfatter.

 

Om | Kontakt | LibraryThing.com | Brugerbetingelser/Håndtering af brugeroplysninger | Hjælp/FAQs | Blog | Butik | APIs | TinyCat | Efterladte biblioteker | Tidlige Anmeldere | Almen Viden | 206,359,327 bøger! | Topbjælke: Altid synlig