Understanding Azure Data Factory: Operationalizing Big Data and Advanced Analyt,

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Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See all condition definitionsopens in a new window or tab
Seller Notes
“Used book in good condition. Shows typical wear. Quick shipping. Satisfaction guaranteed!”
Book Title
Understanding Azure Data Factory: Operationalizing Big Data and,
Narrative Type
Computer Science
Genre
N/A
Intended Audience
N/A
ISBN
9781484241219
Category

About this product

Product Identifiers

Publisher
Apress L. P.
ISBN-10
1484241215
ISBN-13
9781484241219
eBay Product ID (ePID)
25038365005

Product Key Features

Number of Pages
Xi, 368 Pages
Language
English
Publication Name
Understanding Azure Data Factory : Operationalizing Big Data and Advanced Analytics Solutions
Subject
Networking / General, Databases / Data Mining, Databases / General, Enterprise Applications / General, Programming / Microsoft
Publication Year
2018
Type
Textbook
Author
Sudhir Rawat, Abhishek Narain
Subject Area
Computers
Format
Trade Paperback

Dimensions

Item Weight
20.5 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
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.
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 For Data engineers and big data developers. ETL (extract, transform, load) developers also will find the book useful in demonstrating various operations.
LC Classification Number
QA76.76.M52

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