Description: Understanding Azure Data Factory Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Operationalizing Big Data and Advanced Analytics Solutions Author(s): Sudhir Rawat, Abhishek Narain Format: Paperback Publisher: APress, United States Imprint: APress ISBN-13: 9781484241219, 978-1484241219 Synopsis 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 ForData engineers and big data developers. ETL (extract, transform, load) developers also will find the book useful in demonstrating various operations.
Price: 40.59 GBP
Location: Aldershot
End Time: 2024-11-08T09:55:07.000Z
Shipping Cost: 29.3 GBP
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Book Title: Understanding Azure Data Factory
Number of Pages: 368 Pages
Language: English
Publication Name: Understanding Azure Data Factory: Operationalizing Big Data and Advanced Analytics Solutions
Publisher: Apress
Publication Year: 2018
Subject: Computer Science
Item Height: 235 mm
Item Weight: 581 g
Type: Textbook
Author: Abhishek Narain, Sudhir Rawat
Item Width: 155 mm
Format: Paperback