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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
Artigo n.º: 23923266

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

Artigo n.º: 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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O que se Destaca

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.

Detalhes do produto

Discover how to build effective analytics solutions with Hadoop 3. Gain valuable insights from your big data. Shop now at Ubuy São Tomé and Príncipe - Global Store.
  • Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3Key FeaturesLearn Hadoop 3 to build effective big data analytics solutions on-premise and on cloudIntegrate Hadoop with other big data tools such as R, Python, Apache Spark, and Apache FlinkExploit big data using Hadoop 3 with real-world examplesBook DescriptionApache Hadoop is the most popular platform for big data processing, and can be combined with a host of other big data tools to build powerful analytics solutions. Big Data Analytics with Hadoop 3 shows you how to do just that, by providing insights into the software as well as its benefits with the help of practical examples.Once you have taken a tour of Hadoop 3's latest features, you will get an overview of HDFS, MapReduce, and YARN, and how they enable faster, more efficient big data processing. You will then move on to learning how to integrate Hadoop with the open source tools, such as Python and R, to analyze and visualize data and perform statistical computing on big data. As you get acquainted with all this, you will explore how to use Hadoop 3 with Apache Spark and Apache Flink for real-time data analytics and stream processing. In addition to this, you will understand how to use Hadoop to build analytics solutions on the cloud and an end-to-end pipeline to perform big data analysis using practical use cases.By the end of this book, you will be well-versed with the analytical capabilities of the Hadoop ecosystem. You will be able to build powerful solutions to perform big data analytics and get insight effortlessly.What you will learnExplore the new features of Hadoop 3 along with HDFS, YARN, and MapReduceGet well-versed with the analytical capabilities of Hadoop ecosystem using practical examplesIntegrate Hadoop with R and Python for more efficient big data processingLearn to use Hadoop with Apache Spark and Apache Flink for real-time data analyticsSet up a Hadoop cluster on AWS cloudPerform big data analytics on AWS using Elastic Map ReduceWho This Book Is ForBig Data Analytics with Hadoop 3 is for you if you are looking to build high-performance analytics solutions for your enterprise or business using Hadoop 3's powerful features, or you're new to big data analytics. A basic understanding of the Java programming language is required.Table of ContentsIntroduction to HadoopOverview of Big Data AnalyticsBig Data Processing with MapReduceScientific Computing and Big Data Analysis with Python and HadoopStatistical Big Data Computing with R and HadoopBatch analytics with Apache SparkReal time analytics with Apache SparkBatch analytics with Apache FlinkStream Processing with Apache FlinkVisualizing Big DataIntroduction to Cloud ComputingUsing Amazon Web Services
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)

Quem Deverá Comprar?

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.

DESCRIÇÃO DO PRODUTO

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Perguntas e Respostas dos Clientes

  • Pergunta: What is required to read this book?

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

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

    Resposta: 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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Prós

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

Contras

  • Some advanced topics may lack depth.

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STD 777700

STD 1527695

Encomende já e receba por volta de Quarta-feira, Agosto 19

Qtd.:

Restam apenas 4 artigos em stock.
Transação seguraTransação segura

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Recursos e benefícios

  • 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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