LEADER 00844nam2-2200265---450- 001 990008411470403321 005 20061107135402.0 035 $a000841147 035 $aFED01000841147 035 $a(Aleph)000841147FED01 035 $a000841147 100 $a20061103d1987----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aRiflessioni geografiche su alcune cause dell'eterogeneità del comportamento elettorale dei paesi della C.E.E.$fCarlo Brusa 215 $ap. 31-39 463 0$1001000746878 700 1$aBrusa,$bCarlo$f<1947- >$0307331 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aAN 912 $a990008411470403321 959 $aILFGE 996 $aRiflessioni geografiche su alcune cause dell'eterogeneità del comportamento elettorale dei paesi della C.E.E$9726347 997 $aUNINA LEADER 04509nam 22005895 450 001 9910409992703321 005 20200702232649.0 024 7 $a10.1007/978-1-4842-5823-1 035 $a(CKB)4100000011306146 035 $a(MiAaPQ)EBC6229419 035 $a(DE-He213)978-1-4842-5823-1 035 $a(CaSebORM)9781484258231 035 $a(PPN)248598821 035 $a(OCoLC)1198376621 035 $a(OCoLC)on1198376621 035 $a(EXLCZ)994100000011306146 100 $a20200615d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Modern Data Warehouse in Azure $eBuilding with Speed and Agility on Microsoft?s Cloud Platform /$fby Matt How 205 $a1st ed. 2020. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2020. 215 $a1 online resource (297 pages) 311 08$a9781484258231 311 08$a1484258231 311 08$a9781484258224 311 08$a1484258223 320 $aIncludes bibliographical references. 327 $a1. The Rise of the Modern Data Warehouse -- 2. The SQL Engine -- 3. The Integration Engine -- 4. The Ingestion Architecture -- 5. The Role of the Data Lake -- 6. The Role of the Data Contract -- 7. Logging, Auditing, and Resilience -- 8. Using Scripting & Automation -- 9. Beyond the Modern Data Warehouse. 330 $aBuild a modern data warehouse on Microsoft's Azure Platform that is flexible, adaptable, and fast?fast to snap together, reconfigure, and fast at delivering results to drive good decision making in your business. Gone are the days when data warehousing projects were lumbering dinosaur-style projects that took forever, drained budgets, and produced business intelligence (BI) just in time to tell you what to do 10 years ago. This book will show you how to assemble a data warehouse solution like a jigsaw puzzle by connecting specific Azure technologies that address your own needs and bring value to your business. You will see how to implement a range of architectural patterns using batches, events, and streams for both data lake technology and SQL databases. You will discover how to manage metadata and automation to accelerate the development of your warehouse while establishing resilience at every level. And you will know how to feed downstream analytic solutions such as Power BI and Azure Analysis Services to empower data-driven decision making that drives your business forward toward a pattern of success. This book teaches you how to employ the Azure platform in a strategy to dramatically improve implementation speed and flexibility of data warehousing systems. You will know how to make correct decisions in design, architecture, and infrastructure such as choosing which type of SQL engine (from at least three options) best meets the needs of your organization. You also will learn about ETL/ELT structure and the vast number of accelerators and patterns that can be used to aid implementation and ensure resilience. Data warehouse developers and architects will find this book a tremendous resource for moving their skills into the future through cloud-based implementations. You will: Choose the appropriate Azure SQL engine for implementing a given data warehouse Develop smart, reusable ETL/ELT processes that are resilient and easily maintained Automate mundane development tasks through tools such as PowerShell Ensure consistency of data by creating and enforcing data contracts Explore streaming and event-driven architectures for data ingestion Create advanced staging layers using Azure Data Lake Gen 2 to feed your data warehouse. 606 $aMicrosoft software 606 $aMicrosoft .NET Framework 606 $aDatabase management 606 $aMicrosoft and .NET$3https://scigraph.springernature.com/ontologies/product-market-codes/I29030 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 615 0$aMicrosoft software. 615 0$aMicrosoft .NET Framework. 615 0$aDatabase management. 615 14$aMicrosoft and .NET. 615 24$aDatabase Management. 676 $a658.40380285574 700 $aHow$b Matt$4aut$4http://id.loc.gov/vocabulary/relators/aut$0905554 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910409992703321 996 $aThe Modern Data Warehouse in Azure$92025659 997 $aUNINA