How Long to Read Big Data Analytics with Hadoop 3

How Long Does it Take to Read Big Data Analytics with Hadoop 3?

It takes the average reader 7 hours and 52 minutes to read Big Data Analytics with Hadoop 3 by Sridhar Alla

Assuming a reading speed of 250 words per minute. Learn more

Description

Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3 Key Features 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 Book Description Apache 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 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 Reduce Who this book is for Big 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.

How long is Big Data Analytics with Hadoop 3?

Big Data Analytics with Hadoop 3 by Sridhar Alla is 471 pages long, and a total of 118,221 words.

This makes it 159% the length of the average book. It also has 144% more words than the average book.

How Long Does it Take to Read Big Data Analytics with Hadoop 3 Aloud?

The average oral reading speed is 183 words per minute. This means it takes 10 hours and 46 minutes to read Big Data Analytics with Hadoop 3 aloud.

What Reading Level is Big Data Analytics with Hadoop 3?

Big Data Analytics with Hadoop 3 is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Big Data Analytics with Hadoop 3?

Big Data Analytics with Hadoop 3 by Sridhar Alla is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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