👨‍💼 CUSTOMER CARE NO +919667374353

⭐ TOP RATED SELLER ON AMAZON, FLIPKART, EBAY & WALMART

🏆 TRUSTED FOR 10+ YEARS

  • 1,000 shoppers active
    From India to the World — Discover Our Global Stores

Art of Big Data Science Analytics

1,000 shoppers are viewing this product now
Sale price Rs.390.00 Regular price Rs.459.00
Tax included


Genuine Products Guarantee

We guarantee 100% genuine products, and if proven otherwise, we will compensate you with 10 times the product's cost.

Delivery and Shipping

Products are generally ready for dispatch within 1 day and typically reach you in 3 to 5 days.

Book Details

  • Publisher: Khanna Publishers

  • Language: English

  • Edition: 1st Edition (2024)

  • ISBN: 978-93-925495-19

  • Pages: 432

What's Special / Useful in This Book

This book, published in 2024 by Khanna Publishers, offers a comprehensive overview of big data analytics, highlighting various emerging technologies across distinct platforms. It provides valuable and substantial information on the following:

  • Data warehousing and mining technologies for Big Data

  • Hadoop Ecosystem and its integration with various tools

  • Tableau data visualization software

  • Google Cloud platform for Big Data solutions

  • Apache open-source distributed products:

    • Kafka: An event streaming platform

    • Storm: A real-time computation system

  • Qubole: A data platform on Google Cloud, used by WhatsApp

  • Presto: Data warehousing application (including PrestoDB and PrestoSQL/Trino)

  • Teradata Enterprise access for Hadoop

Additionally, the book covers other notable applications and platforms in the world of big data, including:

  • SAP HANA for Enterprise Resource Planning (ERP) software

  • InfoSphere BigInsights 2.1.2

  • Amazon Elastic MapReduce (EMR) Hadoop Distribution

  • Hewlett Packard Enterprise's (HPE) Vertica, a big data platform

  • Statistical Analysis System (SAS): A powerful tool for statistical modeling used by data analysts.

Key features include:

  • Comprehensive coverage of important big data technologies and platforms.

  • Practical insights into the use of real-world applications like Presto, Hadoop, and Qubole.

  • Clear explanations to simplify complex big data concepts for both beginners and professionals.

  • Examples and case studies to show how these platforms are used in real-world scenarios.

This book is ideal for students, data analysts, and professionals looking to deepen their understanding of big data analytics and the technologies that support it.