Understanding Azure Data Factory : Operationalizing Big Data and Advanced Analytics Solutions
Book Details
Format
Paperback / Softback
ISBN-10
1484241215
ISBN-13
9781484241219
Publisher
APress
Imprint
APress
Country of Manufacture
US
Country of Publication
GB
Publication Date
Dec 19th, 2018
Print length
368 Pages
Weight
600 grams
Dimensions
15.80 x 23.50 x 2.30 cms
Product Classification:
Microsoft programmingDatabases
Ksh 9,900.00
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Improve your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on Azure. You will learn how to monitor complex pipelines, set alerts, and extend your organization's custom monitoring requirements. This book starts with an overview of the Azure Data Factory as a hybrid ETL/ELT orchestration service on Azure. The book then dives into data movement and the connectivity capability of Azure Data Factory. You will learn about the support for hybrid data integration from disparate sources such as on-premise, cloud, or from SaaS applications. Detailed guidance is provided on how to transform data and on control flow. Demonstration of operationalizing the pipelines and ETL with SSIS is included. You will know how to leverage Azure Data Factory to run existing SSIS packages. As you advance through the book, you will wrap up by learning how to create a single pane for end-to-end monitoring, which is a key skill in building advanced analytics and big data pipelines. What You'll LearnUnderstand data integration on Azure cloudBuild and operationalize an ADF pipelineModernize a data warehouseBe aware of performance and security considerations while moving data Who This Book Is ForData engineers and big data developers. ETL (extract, transform, load) developers also will find the book useful in demonstrating various operations.
Improve your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on Azure. You will learn how to monitor complex pipelines, set alerts, and extend your organization''s custom monitoring requirements.
This book starts with an overview of the Azure Data Factory as a hybrid ETL/ELT orchestration service on Azure. The book then dives into data movement and the connectivity capability of Azure Data Factory. You will learn about the support for hybrid data integration from disparate sources such as on-premise, cloud, or from SaaS applications. Detailed guidance is provided on how to transform data and on control flow. Demonstration of operationalizing the pipelines and ETL with SSIS is included. You will know how to leverage Azure Data Factory to run existing SSIS packages. As you advance through the book, you will wrap up by learning how to create a single pane for end-to-end monitoring, which is a key skill in building advanced analytics and big data pipelines.
What You''ll Learn
- Understand data integration on Azure cloud
- Build and operationalize an ADF pipeline
- Modernize a data warehouse
- Be aware of performance and security considerations while moving data
Who This Book Is For
Data engineers and big data developers. ETL (extract, transform, load) developers also will find the book useful in demonstrating various operations.
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