👨‍💼 CUSTOMER CARE NO +918468865271

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

🏆 TRUSTED FOR 10+ YEARS

  • From India to the World — Discover Our Global Stores

🚚 Extra 10% + Free Shipping? Yes, Please!

Shop above ₹5000 and save 10% instantly—on us!

THANKYOU10

Art of Big Data Science Analytics

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.

Get 100% refund on non-delivery or defects

On Prepaid Orders

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.