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{ "item_title" : "Data Engineering with Databricks", "item_author" : [" Sumit Verma "], "item_description" : "The book teaches readers on Databricks Lakehouse, Delta Live table, Streaming, Workflow, Delta Lake using Databrick platform. The subsequent chapters discuss creating data pipelines utilizing the Databricks Lakehouse platform with data processing. The book teaches to leverage the Databricks Lakehouse platform to develop delta live tables, streamline ETL/ELT operations, orchestration, Data governance using unity catalog, Delta Lake optimization and Databricks Repo. What you will learnDevelop end to end data pipeline using Databrick workflow.Data governance using Unity catalog.Delta lake optimizationVersion control using Databrick Repos.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/887/213/9798872134688_b.jpg", "price_data" : { "retail_price" : "25.00", "online_price" : "25.00", "our_price" : "25.00", "club_price" : "25.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Engineering with Databricks|Sumit Verma

Data Engineering with Databricks

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Overview

The book teaches readers on Databricks Lakehouse, Delta Live table, Streaming, Workflow, Delta Lake using Databrick platform. The subsequent chapters discuss creating data pipelines utilizing the Databricks Lakehouse platform with data processing. The book teaches to leverage the Databricks Lakehouse platform to develop delta live tables, streamline ETL/ELT operations, orchestration, Data governance using unity catalog, Delta Lake optimization and Databricks Repo. What you will learn

  • Develop end to end data pipeline using Databrick workflow.
  • Data governance using Unity catalog.
  • Delta lake optimization
  • Version control using Databrick Repos.

This item is Non-Returnable

Details

  • ISBN-13: 9798872134688
  • ISBN-10: 9798872134688
  • Publisher: Independently Published
  • Publish Date: December 2023
  • Dimensions: 11 x 8.5 x 0.33 inches
  • Shipping Weight: 0.82 pounds
  • Page Count: 154

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