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    Data Engineering with Databricks Cookbook. Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Data Engineering with Databricks Cookbook. Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake Pulkit Chadha - okładka ebooka

    Data Engineering with Databricks Cookbook. Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake Pulkit Chadha - okładka ebooka

    Data Engineering with Databricks Cookbook. Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake Pulkit Chadha - okładka audiobooka MP3

    Data Engineering with Databricks Cookbook. Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake Pulkit Chadha - okładka audiobooks CD

    Ocena:
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    Stron:
    438
    Dostępne formaty:
    PDF
    ePub

    Ebook

    139,00 zł

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    Do przechowalni

    Data Engineering with Databricks Cookbook will guide you through recipes to effectively use Apache Spark, Delta Lake, and Databricks for data engineering, beginning with an introduction to data ingestion and loading with Apache Spark.
    As you progress, you’ll be introduced to various data manipulation and data transformation solutions that can be applied to data. You'll find out how to manage and optimize Delta tables, as well as how to ingest and process streaming data. The book will also show you how to improve the performance problems of Apache Spark apps and Delta Lake. Later chapters will show you how to use Databricks to implement DataOps and DevOps practices and teach you how to orchestrate and schedule data pipelines using Databricks Workflows. Finally, you’ll understand how to set up and configure Unity Catalog for data governance.
    By the end of this book, you’ll be well-versed in building reliable and scalable data pipelines using modern data engineering technologies.

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    O autorze ebooka

    Pulkit Chadha is a Sr. Solutions Architect at Databricks. He has over 12 years of experience working in Data Engineering. With his expertise in building and optimizing data pipelines using various tools and technologies Pulkit has worked with enterprises in various industries, including healthcare, Media and Entertainment, Hi-Tech, and Manufacturing providing data engineering solutions to meet enterprises' unique business needs. His work history includes the likes of Dell Services, Adobe, and Databricks.
    Pulkit holds a Masters's Degree in Management Information Systems from Eller College of Management at the University Of Arizona and has several cloud certifications in data analytics.

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