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Data Engineering Apache Spark by Kukreja Manoj (18 results)
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way
Published by Packt Publishing (edition ), 2021
ISBN 10: 1801077746 ISBN 13: 9781801077743
Language: English
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable pipelines that ingest, curate, and aggregate complex data in a timely a (Paperback or Softback)
Published by Packt Publishing 10/22/2021, 2021
ISBN 10: 1801077746 ISBN 13: 9781801077743
Language: English
Paperback or Softback. Condition: New. Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable pipelines that ingest, curate, and aggregate complex data in a timely a 1.8. Book.
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable pipelines that ingest, curate, and aggregate complex data in a timely a
Published by Packt Publishing 2021-10, 2021
ISBN 10: 1801077746 ISBN 13: 9781801077743
Language: English
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable pipelines that ingest, curate, and aggregate complex data in a timely a
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable pipelines that ingest, curate, and aggregate complex data in a timely a
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Add to basketCondition: New. Discover the roadblocks you may face in data engineering and keep up with the latest trends such as Delta Lake. This book will help you learn how to build data pipelines that can auto-adjust to changes. Using practical examples, you will implement a solid d.
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse
Published by Packt Publishing Limited, 2021
ISBN 10: 1801077746 ISBN 13: 9781801077743
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse
Published by Packt Publishing Limited, 2021
ISBN 10: 1801077746 ISBN 13: 9781801077743
Language: English
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse: Create scalable data pipelines and networks that ingest, process, and store complex data
Published by Packt Publishing Limited, 2021
ISBN 10: 1801077746 ISBN 13: 9781801077743
Language: English
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse
Published by Packt Publishing, Limited, 2021
ISBN 10: 1801077746 ISBN 13: 9781801077743
Language: English
£ 52.22
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Understand the complexities of modern-day data engineering platforms and explore strategies to deal with them with the help of use case scenarios led by an industry expert in big dataKey Features:Become well-versed with the core concepts of Apache Spark and Delta Lake for building data platformsLearn how to ingest, process, and analyze data that can be later used for training machine learning modelsUnderstand how to operationalize data models in production using curated dataBook Description:In the world of ever-changing data and ever-evolving schemas, it is important to build data pipelines that can auto-adjust to changes. This book will help you build scalable data platforms that managers, data scientists, and data analysts can rely on.Starting with an introduction to data engineering, along with its key concepts and architectures, this book will show you how to use Microsoft Azure Cloud services effectively for data engineering. You'll cover data lake design patterns and the different stages through which the data needs to flow in a typical data lake. Once you've explored the main features of Delta Lake to build data lakes with fast performance and governance in mind, you'll advance to implementing the lambda architecture using Delta Lake. Packed with practical examples and code snippets, this book takes you through real-world examples based on production scenarios faced by the author in his 10 years of experience working with big data. Finally, you'll cover data lake deployment strategies that play an important role in provisioning the cloud resources and deploying the data pipelines in a repeatable and continuous way.By the end of this data engineering book, you'll have learned how to effectively deal with ever-changing data and create scalable data pipelines to streamline data science, ML, and artificial intelligence (AI) tasks.What You Will Learn:Discover the challenges you may face in the data engineering worldAdd ACID transactions to Apache Spark using Delta LakeUnderstand effective design strategies to build enterprise-grade data lakesExplore architectural and design patterns for building efficient data ingestion pipelinesOrchestrate a data pipeline for preprocessing data using Apache Spark and Delta Lake APIsAutomate deployment and monitoring of data pipelines in productionGet to grips with securing, monitoring, and managing data pipelines models efficientlyWho this book is for:This book is for aspiring data engineers and data analysts who are new to the world of data engineering and are looking for a practical guide to building scalable data platforms. If you already work with PySpark and want to use Delta Lake for data engineering, you'll find this book useful. Basic knowledge of Python, Spark, and SQL is expected.
