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Azure Data Engineering Cookbook. Design and implement batch and streaming analytics using Azure Cloud Services

(ebook) (audiobook) (audiobook) Książka w języku 1
Autor:
Ahmad Osama
Azure Data Engineering Cookbook. Design and implement batch and streaming analytics using Azure Cloud Services Ahmad Osama - okladka książki

Azure Data Engineering Cookbook. Design and implement batch and streaming analytics using Azure Cloud Services Ahmad Osama - okladka książki

Azure Data Engineering Cookbook. Design and implement batch and streaming analytics using Azure Cloud Services Ahmad Osama - audiobook MP3

Azure Data Engineering Cookbook. Design and implement batch and streaming analytics using Azure Cloud Services Ahmad Osama - audiobook CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
454
Dostępne formaty:
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     ePub
     Mobi

Ebook (125,10 zł najniższa cena z 30 dni)

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29,90 zł

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Do przechowalni

Data 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.

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O autorze książki

Ahmad Osama works for Pitney Bowes Pvt. Ltd. as a technical architect and is a former Microsoft Data Platform MVP. In his day job, he works on developing and maintaining high performant, on-premises and cloud SQL Server OLTP environments as well as deployment and automating tasks using PowerShell. When not working, Ahmad blogs at DataPlatformLabs and can be found glued to his Xbox.

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