Description: Further DetailsTitle: Big Data Analytics with Hadoop 3Condition: NewFormat: DigitalEAN: 9781788628846ISBN: 9781788628846Publisher: Packt Publishing LimitedRelease Date: 04/02/2023Description: Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3About This Book• 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 examplesWho 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.What You Will Learn• Explore the new features of Hadoop 3 along with HDFS, YARN, and MapReduce• Get well-versed with the analytical capabilities of Hadoop ecosystem using practical examples• Integrate Hadoop with R and Python for more efficient big data processing• Learn to use Hadoop with Apache Spark and Apache Flink for real-time data analytics• Set up a Hadoop cluster on AWS cloud• Perform big data analytics on AWS using Elastic Map ReduceIn DetailApache 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.Style and approachFilled with practical examples and use cases, this book will not only help you get up and running with Hadoop, but will also take you farther down the road to deal with Big Data AnalyticsLanguage: EnglishCountry/Region of Manufacture: GBAuthor: Sridhar AllaGenre: Computing & InternetRelease Year: 2023 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
Price: 65.79 USD
Location: 60502
End Time: 2025-01-16T02:33:31.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money back or replacement (buyer's choice)
Return policy details:
Book Title: Big Data Analytics with Hadoop 3
Title: Big Data Analytics with Hadoop 3
EAN: 9781788628846
ISBN: 9781788628846
Release Date: 04/02/2023
Release Year: 2023
Country/Region of Manufacture: GB
Genre: Computing & Internet
Number of Pages: 482 Pages
Publication Name: Big Data Analytics with Hadoop 3 : Build Highly Effective Analytics Solutions to Gain Valuable Insight into Your Big Data
Language: English
Publisher: Packt Publishing, The Limited
Subject: Software Development & Engineering / General, Data Modeling & Design, Client-Server Computing, Data Visualization, Databases / Data Warehousing, Data Processing, Databases / Data Mining
Publication Year: 2018
Type: Textbook
Item Length: 3.6 in
Subject Area: Computers
Author: Sridhar Alla
Item Width: 3 in
Format: Trade Paperback