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Published by Bpb Publications 2/10/2022, 2022
ISBN 10: 9355510306 ISBN 13: 9789355510303
Language: English
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Paperback or Softback. Condition: New. Hands-On Azure Data Platform: Building Scalable Enterprise-Grade Relational and Non-Relational database Systems with Azure Data Services 1.12. Book.
Published by BPB Publications 2022-02, 2022
ISBN 10: 9355510306 ISBN 13: 9789355510303
Language: English
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Add to basketCondition: New. Klappentextrnrn Hands-On Azure Data Platform helps readers get a fundamental understanding of the Database, Data Warehouse, and Data Lake and their management on the Azure Data Platform.nnnThe book describes how to work efficiently with Relatio.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Hands-On Azure Data Platform' helps readers get a fundamental understanding of the Database, Data Warehouse, and Data Lake and their management on the Azure Data Platform. The book describes how to work efficiently with Relational and Non-Relational Databases, Azure Synapse Analytics, and Azure Data Lake. The readers will use Azure Databricks and Azure Data Factory to experience data processing and transformation. The book delves deeply into topics like continuous integration, continuous delivery, and the use of Azure DevOps. The book focuses on the integration of Azure DevOps with CI/CD pipelines for data ops solutions. The book teaches readers how to migrate data from an on-premises system or another cloud service provider to Azure. After reading the book, readers will develop end-to-end data solutions using the Azure data platform. Additionally, data engineers and ETL developers can streamline their ETL operations using various efficient Azure services. TABLE OF CONTENTS 1. Getting Started with the Azure Data Platform 2. Working with Relational Databases on Azure 3. Working with Azure Synapse 4. Working with Azure Data Lake 5. Working with Azure Cosmos DB 6. Working with Azure Data Bricks 7. Working with Azure Data Factory 8. DevOps with the Azure Data Platform 9. Planning and Migrating On-Premises Azure Workloads to the Azure Data platform 10. Design and Implement Data Solutions on Azure.