Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data
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Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data
Big Data Analytics with Hadoop 3 provides practical examples to learn Hadoop 3 for building high-performance analytics solutions seamlessly on-premise and on cloud
Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data
Articolo #: 23923266

Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data

Articolo #: 23923266

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Big Data Analytics with Hadoop 3 provides practical examples to learn Hadoop 3 for building high-performance analytics solutions seamlessly on-premise and on cloud
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Cosa salta all'occhio

Advanced Analytics Tools
Leverage cutting-edge tools within Hadoop 3 for efficient data processing, providing insightful analytics and transforming large datasets into actionable intelligence for informed decision-making.
Scalable Solutions
Designed to handle vast amounts of data seamlessly, enabling users to scale their analytics solutions effortlessly as data volume grows, ensuring sustained performance and reliability.
Community Support
Benefit from a robust community and extensive resources surrounding Hadoop 3, offering constant updates, troubleshooting, and collaborative knowledge sharing to enhance user experience and solve problems quickly.

Dettagli del prodotto

Discover how to build effective analytics solutions with Hadoop 3. Gain valuable insights from your big data. Shop now at Ubuy San Marino - Global Store.
Publisher Packt Publishing
Publication date May 31, 2018
Language English
Print length 482 pages
ISBN-10 1788628845
ISBN-13 978-1788628846
Item Weight 1.81 pounds (820 grams)
Dimensions 7.5 x 1.09 x 9.25 inches (19.1 x 2.8 x 23.5 cm)

A chi è consigliato?

Suitable For
  • Data Scientists

    Ideal for data scientists looking to leverage Hadoop for extensive big data analysis and insights.

  • Business Analysts

    Business analysts will benefit from gaining deeper insights into data patterns and trends using Hadoop 3.

  • IT Professionals

    IT professionals seeking to enhance their skill set in big data technologies and Hadoop ecosystem applications.

Not Suitable For
  • Beginner Users

    Beginner users may find the advanced concepts and tools overwhelming without prior knowledge of big data.

DESCRIZIONE DEL PRODOTTO

Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data

Hai qualche domanda? chatta con noi

Domande e risposte dei clienti

  • domanda: What is required to read this book?

    Rispondere: A basic understanding of the Java programming language.
  • domanda: What are the tools that can be integrated with Hadoop?

    Rispondere: R, Python, Apache Spark, and Apache Flink can be integrated with Hadoop.
  • domanda: Is this book only for beginners in data analytics?

    Rispondere: No, it is also useful for those who want to build high-performance analytics solutions for their enterprise or business using Hadoop 3's powerful features.

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Professionisti

  • Comprehensive coverage of Hadoop
  • Step-by-step implementation guide
  • Useful for real-world applications
  • Clear explanations for beginners
  • Hands-on examples and exercises

Contro

  • Some advanced topics may lack depth.

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€ 28

Ordina subito e indossalo Martedì, Luglio 28

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Caratteristiche e benefici

  • Learn Hadoop 3 to build effective big data analytics solutions on-premise and on cloud
  • Integrate Hadoop with other big data tools such as R, Python, Apache Spark, and Apache Flink
  • Exploit big data using Hadoop 3 with real-world examples
  • Become well-versed with the analytical capabilities of the Hadoop ecosystem
  • Perform big data analytics on AWS using Elastic Map Reduce
  • Ideal for those looking to build high-performance analytics solutions for their enterprise or business using Hadoop 3's powerful features

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