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ETL with Azure Cookbook Practical Recipes for Building Modern ETL Solutions to Load and Transform Data from Any Source.
This book will take you through hand-on recipes for extracting, transforming, and loading data using big data tools and Azure services such as Data Factory and Azure Databricks. You will learn how to interact effectively with Azure services, along with covering automation with BIML and data profilin...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing, Limited,
2020.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Coté, Christian. | |
| 245 | 1 | 0 | |a ETL with Azure Cookbook |h [electronic resource] : |b Practical Recipes for Building Modern ETL Solutions to Load and Transform Data from Any Source. |
| 260 | |a Birmingham : |b Packt Publishing, Limited, |c 2020. | ||
| 300 | |a 1 online resource (446 p.) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 500 | |a Description based upon print version of record. | ||
| 505 | 0 | |a Cover -- Title Page -- Copyright and Credits -- About Packt -- Contributors -- Table of Contents -- Preface -- Chapter 1: Getting Started with Azure and SSIS 2019 -- Technical requirements -- Installing Microsoft SQL Server 2019 Integration Services -- Getting ready -- How to do it... -- How it works... -- Installing SQL Server Management Studio -- Getting ready -- How to do it... -- How it works... -- Installing SQL Server Data Tools -- Getting ready -- How to do it... -- How it works... -- Installing Azure Data Studio -- Getting ready -- How to do it... -- How it works... -- Creating an Azure subscription | |
| 505 | 8 | |a Getting ready -- How to do it... -- How it works... -- There's more... -- Chapter 2: Introducing ETL -- Creating a SQL Azure database -- Getting ready -- How to do it... -- How it works... -- Connecting SQL Management Studio to Azure SQL -- Getting ready -- How to do it... -- How it works... -- Creating a simple ETL package -- Getting ready -- How to do it... -- How it works... -- Loading data before its transformation -- Getting ready -- How to do it... -- How it works... -- Chapter 3: Creating and Using SQL Server 2019 Big Data Clusters -- Technical requirements -- Creating a SQL Server 2019 Big Data Cluster | |
| 505 | 8 | |a Getting ready -- How to do it... -- How it works... -- Stopping and starting Azure resources -- Getting ready -- How to do it... -- How it works... -- Setting up a Big Data Cluster -- Getting ready -- How to do it... -- How it works... -- Loading data into a Big Data Cluster -- Getting ready -- How to do it... -- How it works... -- Extracting data from a Big Data Cluster -- Getting ready -- How to do it... -- How it works... -- Chapter 4: Azure Data Integration -- Setting up the Azure Feature Pack in SSIS -- Getting ready -- How to do it... -- How it works... -- Setting up a Java Runtime Environment -- Getting ready | |
| 505 | 8 | |a How to do it... -- How it works... -- Setting up an Azure storage account -- Getting ready -- How to do it... -- How it works... -- Creating an on-demand Azure HDInsight cluster -- Getting ready -- How to do it... -- How it works... -- Transforming data with Hive -- Getting ready -- How to do it... -- How it works... -- Transforming data with Pig -- Getting ready -- How to do it... -- How it works... -- Chapter 5: Extending SSIS with Custom Tasks and Transformations -- Technical requirements -- Designing a Custom Control Flow Task -- Getting ready -- How to do it... -- How it works... | |
| 505 | 8 | |a Designing a Custom Data Flow Component -- Getting ready -- How to do it... -- How it works... -- There's more... -- Deploying SSIS customizations -- Getting ready -- How to do it... -- How it works... -- Upgrading a Custom Data Flow Component -- Getting ready -- How to do it... -- How it works... -- Chapter 6: Azure Data Factory -- Data factory creation -- Getting ready -- How to do it... -- How it works... -- Copying data from the internet -- Getting ready -- How to do it... -- How it works... -- Moving and transforming data -- Getting ready -- How to do it... -- How it works... -- Triggering and monitoring our pipeline | |
| 500 | |a Getting ready. | ||
| 520 | |a This book will take you through hand-on recipes for extracting, transforming, and loading data using big data tools and Azure services such as Data Factory and Azure Databricks. You will learn how to interact effectively with Azure services, along with covering automation with BIML and data profiling in Azure. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Data warehousing. | |
| 650 | 0 | |a Microsoft Azure (Computing platform) | |
| 650 | 6 | |a Entrepôts de données (Informatique) | |
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| 650 | 7 | |a Microsoft Azure (Computing platform) |2 fast |0 (OCoLC)fst01940548 | |
| 700 | 1 | |a Lah, Matija. | |
| 700 | 1 | |a Saitakhmetova, Madina. | |
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