Understanding Azure Data Factory

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Sprache: Englisch

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Beschreibung

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.

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.

Über den Autor

Sudhir Rawat is a senior software engineer at Microsoft Corporation. He has 15 years of experience in turning data to insights. He is involved in various activities, including development, consulting, troubleshooting, and speaking. He works extensively on the data platform. He has delivered sessions on platforms at Microsoft TechEd India, Microsoft Azure Conference, Great India Developer Summit, SQL Server Annual Summit, Reboot (MVP), and many more. His certifications include MCITP, MCTS, MCT on SQL Server Business Intelligence, MCPS on Implementing Microsoft Azure Infrastructure Solutions, and MS on Designing and Implementing Big Data Analytics Solutions.

Abhishek Narain works as a technical program manager on the Azure Data Governance team at Microsoft. Previously he has worked as a consultant at Microsoft and Infragistics and he has worked on various Azure services and Windows app development projects. He is a public speaker and regularly speaks at various events, including Node Day, Droidcon, Microsoft TechEd, PyCon, the Great India Developer Summit and many others. Before joining Microsoft, he was awarded the Microsoft MVP designation.

Zusammenfassung

Covers the latest Azure Data Factory version 2

Demonstrates building enterprise analytics solutions (architecture plus code) with examples for easy understanding

Discusses in detail executing SSIS packages in different scenarios to help developers work in all types of situations

Inhaltsverzeichnis

Chapter 1: Introduction to Data Analytics.- Chapter 2: Introduction to Azure Data Factory.- Chapter 3: Data Movement.- Chapter 4: Data Transformation-I.- Chapter 5: Data Transformation-II.- Chapter 6: Monitoring.- Chapter 7: Security.- Chapter 8: Executing SSIS Packages.

Details

Erscheinungsjahr:	2018
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Seiten:	380
Inhalt:	xi 368 S. 376 s/w Illustr. 368 p. 376 illus.
ISBN-13:	9781484241219
ISBN-10:	1484241215
Sprache:	Englisch
Herstellernummer:	978-1-4842-4121-9
Ausstattung / Beilage:	Paperback
Einband:	Kartoniert / Broschiert
Autor:	Narain, Abhishek Rawat, Sudhir
Auflage:	1st ed.
Hersteller:	Apress Apress L.P.
Maße:	235 x 155 x 21 mm
Von/Mit:	Abhishek Narain (u. a.)
Erscheinungsdatum:	19.12.2018
Gewicht:	0,575 kg

preigu-id: 114384011