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Practical Lakehouse Architecture (Designing and Implementing Modern Data Platforms at Scale)

List Price: $69.99
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9781098153014
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  • Product Details

    Author:
    Gaurav Ashok Thalpati
    Format:
    Paperback
    Pages:
    283
    Publisher:
    O'Reilly Media (August 27, 2024)
    Language:
    English
    ISBN-13:
    9781098153014
    ISBN-10:
    1098153014
    Dimensions:
    7" x 9.19"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20260209163242-20260209.xml
    Folder:
    TWO RIVERS
    List Price:
    $69.99
    Country of Origin:
    United States
    Case Pack:
    14
    As low as:
    $60.19
    Publisher Identifier:
    P-PER
    Discount Code:
    C
    Pub Discount:
    60
    Weight:
    16.16oz
    Imprint:
    O'Reilly Media
  • Overview

    This concise yet comprehensive guide explains how to adopt a data lakehouse architecture to implement modern data platforms. It reviews the design considerations, challenges, and best practices for implementing a lakehouse and provides key insights into the ways that using a lakehouse can impact your data platform, from managing structured and unstructured data and supporting BI and AI/ML use cases to enabling more rigorous data governance and security measures.

    Practical Lakehouse Architecture shows you how to:

    • Understand key lakehouse concepts and features like transaction support, time travel, and schema evolution
    • Understand the differences between traditional and lakehouse data architectures
    • Differentiate between various file formats and table formats
    • Design lakehouse architecture layers for storage, compute, metadata management, and data consumption
    • Implement data governance and data security within the platform
    • Evaluate technologies and decide on the best technology stack to implement the lakehouse for your use case
    • Make critical design decisions and address practical challenges to build a future-ready data platform
    • Start your lakehouse implementation journey and migrate data from existing systems to the lakehouse