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Books > Computing & IT > Computer communications & networking
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Buy Now
Azure Data Engineering Cookbook - Design and implement batch and streaming analytics using Azure Cloud Services (Paperback)
Loot Price: R1,380
Discovery Miles 13 800
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Azure Data Engineering Cookbook - Design and implement batch and streaming analytics using Azure Cloud Services (Paperback)
Expected to ship within 10 - 15 working days
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Over 90 recipes to help you orchestrate modern ETL/ELT workflows
and perform analytics using Azure services more easily Key Features
Build highly efficient ETL pipelines using the Microsoft Azure Data
services Create and execute real-time processing solutions using
Azure Databricks, Azure Stream Analytics, and Azure Data Explorer
Design and execute batch processing solutions using Azure Data
Factory Book DescriptionData engineering is one of the faster
growing job areas as Data Engineers are the ones who ensure that
the data is extracted, provisioned and the data is of the highest
quality for data analysis. This book uses various Azure services to
implement and maintain infrastructure to extract data from multiple
sources, and then transform and load it for data analysis. It takes
you through different techniques for performing big data
engineering using Microsoft Azure Data services. It begins by
showing you how Azure Blob storage can be used for storing large
amounts of unstructured data and how to use it for orchestrating a
data workflow. You'll then work with different Cosmos DB APIs and
Azure SQL Database. Moving on, you'll discover how to provision an
Azure Synapse database and find out how to ingest and analyze data
in Azure Synapse. As you advance, you'll cover the design and
implementation of batch processing solutions using Azure Data
Factory, and understand how to manage, maintain, and secure Azure
Data Factory pipelines. You'll also design and implement batch
processing solutions using Azure Databricks and then manage and
secure Azure Databricks clusters and jobs. In the concluding
chapters, you'll learn how to process streaming data using Azure
Stream Analytics and Data Explorer. By the end of this Azure book,
you'll have gained the knowledge you need to be able to orchestrate
batch and real-time ETL workflows in Microsoft Azure. What you will
learn Use Azure Blob storage for storing large amounts of
unstructured data Perform CRUD operations on the Cosmos Table API
Implement elastic pools and business continuity with Azure SQL
Database Ingest and analyze data using Azure Synapse Analytics
Develop Data Factory data flows to extract data from multiple
sources Manage, maintain, and secure Azure Data Factory pipelines
Process streaming data using Azure Stream Analytics and Data
Explorer Who this book is forThis book is for Data Engineers,
Database administrators, Database developers, and extract, load,
transform (ETL) developers looking to build expertise in Azure Data
engineering using a recipe-based approach. Technical architects and
database architects with experience in designing data or ETL
applications either on-premise or on any other cloud vendor who
wants to learn Azure Data engineering concepts will also find this
book useful. Prior knowledge of Azure fundamentals and data
engineering concepts is needed.
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