Art of Big Data Science Analytics
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Book Details
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Publisher: Khanna Publishers
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Language: English
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Edition: 1st Edition (2024)
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ISBN: 978-93-925495-19
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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:
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Data warehousing and mining technologies for Big Data
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Hadoop Ecosystem and its integration with various tools
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Tableau data visualization software
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Google Cloud platform for Big Data solutions
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Apache open-source distributed products:
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Kafka: An event streaming platform
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Storm: A real-time computation system
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Qubole: A data platform on Google Cloud, used by WhatsApp
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Presto: Data warehousing application (including PrestoDB and PrestoSQL/Trino)
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Teradata Enterprise access for Hadoop
Additionally, the book covers other notable applications and platforms in the world of big data, including:
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SAP HANA for Enterprise Resource Planning (ERP) software
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InfoSphere BigInsights 2.1.2
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Amazon Elastic MapReduce (EMR) Hadoop Distribution
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Hewlett Packard Enterprise's (HPE) Vertica, a big data platform
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Statistical Analysis System (SAS): A powerful tool for statistical modeling used by data analysts.
Key features include:
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Comprehensive coverage of important big data technologies and platforms.
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Practical insights into the use of real-world applications like Presto, Hadoop, and Qubole.
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Clear explanations to simplify complex big data concepts for both beginners and professionals.
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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.

