Understanding azure data factory : operationalizing big data and advanced analytics solutions / By Sudhir Rawat and Abhishek Narain.

By:

Rawat, Sudhir

Contributor(s):

Material type: Text

TextPublication details: New York : Apress , 2022Edition: 1st edDescription: xi,368p. ; 23.5 cmContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781484241219

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:

005.448 1 RAWS

LOC classification:

QA76.76.M52

Online resources:

View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. An e-book available through full-text database.

Contents:

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.

In: Springer eBooksSummary: 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 .

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Item type	Current library	Collection	Call number	Status	Barcode
Book	St Aloysius Institute of Management & Information Technology	MCA	005.448 RAWS (Browse shelf(Opens below))	Available	MCA17105

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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 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 .

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