Mastering Apache Pinot

Mastering Apache Pinot
Author :
Publisher : HiTeX Press
Total Pages : 219
Release :
ISBN-10 : PKEY:6610000690749
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Mastering Apache Pinot by : Robert Johnson

Download or read book Mastering Apache Pinot written by Robert Johnson and published by HiTeX Press. This book was released on 2024-12-30 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Mastering Apache Pinot: Real-Time Analytics at Scale" is an authoritative resource designed to equip readers with the comprehensive knowledge needed to harness the full potential of Apache Pinot, a powerful real-time distributed OLAP datastore. As the demand for rapid data insights grows, Apache Pinot emerges as a vital tool, enabling organizations to process vast data streams with unmatched speed and efficiency. This book meticulously covers every facet of Apache Pinot, from setup to advanced configuration, providing readers a clear road map to deploying robust, scalable analytic solutions. The text delves into the practicalities of data ingestion, schema design, and query optimization, offering practical guidance for maximizing system performance. Readers will explore how to integrate Pinot with a wide array of data systems, securing data while ensuring seamless access and control. Real-world case studies across diverse industries are presented, demonstrating Apache Pinot's transformative role in driving data-driven decisions. Additionally, the book anticipates future trends and provides insights into best practices, empowering readers to stay ahead in the rapidly evolving analytics landscape. Ideal for data engineers, analysts, and IT professionals, "Mastering Apache Pinot" serves as both an instructive guide and a valuable reference, skillfully blending theoretical concepts with actionable insights. This book invites readers to not only implement effective analytics infrastructure but also actively contribute to the dynamic Apache Pinot community, fostering continued growth and innovation in real-time data processing.


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