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Cloud Scale Analytics with Azure Data Services

You're reading from  Cloud Scale Analytics with Azure Data Services

Product type Book
Published in Jul 2021
Publisher Packt
ISBN-13 9781800562936
Pages 520 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Patrik Borosch Patrik Borosch
Profile icon Patrik Borosch
LinkedIn
Patrik Borosch is a cloud solution architect for data and AI at Microsoft Switzerland GmbH. He has more than 25 years of BI and analytics development, engineering, and architecture experience and is a Microsoft Certified Data Engineer and a Microsoft Certified AI Engineer. Patrik has worked on numerous significant international data warehouse, data integration, and big data projects. Through this, he has built and extended his experience in all facets, from requirements engineering to data modeling and ETL, all the way to reporting and dashboarding. At Microsoft Switzerland, he supports customers in their journey into the analytical world of the Azure Cloud.
See other products by Patrik Borosch

Table of Contents (20) Chapters

Preface Section 1: Data Warehousing and Considerations Regarding Cloud Computing
Chapter 1: Balancing the Benefits of Data Lakes Over Data Warehouses Chapter 2: Connecting Requirements and Technology Section 2: The Storage Layer
Chapter 3: Understanding the Data Lake Storage Layer Chapter 4: Understanding Synapse SQL Pools and SQL Options Section 3: Cloud-Scale Data Integration and Data Transformation
Chapter 5: Integrating Data into Your Modern Data Warehouse Chapter 6: Using Synapse Spark Pools Chapter 7: Using Databricks Spark Clusters Chapter 8: Streaming Data into Your MDWH Chapter 9: Integrating Azure Cognitive Services and Machine Learning Chapter 10: Loading the Presentation Layer Section 4: Data Presentation, Dashboarding, and Distribution
Chapter 11: Developing and Maintaining the Presentation Layer Chapter 12: Distributing Data Chapter 13: Introducing Industry Data Models Chapter 14: Establishing Data Governance Other Books You May Enjoy

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Azure Data Engineering Cookbook

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ISBN: 978-1-80020-655-7

  • 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

Distributed Data Systems with Azure Databricks

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ISBN: 978-1-83864-721-6

  • Create ETLs for big data in Azure Databricks
  • Train, manage, and deploy machine learning and deep learning models
  • Integrate Databricks with Azure Data Factory for extract, transform, load (ETL) pipeline creation...

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Authors (1)

Profile icon Patrik Borosch
LinkedIn
Patrik Borosch is a cloud solution architect for data and AI at Microsoft Switzerland GmbH. He has more than 25 years of BI and analytics development, engineering, and architecture experience and is a Microsoft Certified Data Engineer and a Microsoft Certified AI Engineer. Patrik has worked on numerous significant international data warehouse, data integration, and big data projects. Through this, he has built and extended his experience in all facets, from requirements engineering to data modeling and ETL, all the way to reporting and dashboarding. At Microsoft Switzerland, he supports customers in their journey into the analytical world of the Azure Cloud.
Read more
See other products by Patrik Borosch

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