How Long to Read Modern Big Data Processing with Hadoop

How Long Does it Take to Read Modern Big Data Processing with Hadoop?

It takes the average reader 6 hours and 30 minutes to read Modern Big Data Processing with Hadoop by V Naresh Kumar

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

Description

A comprehensive guide to design, build and execute effective Big Data strategies using Hadoop Key Features -Get an in-depth view of the Apache Hadoop ecosystem and an overview of the architectural patterns pertaining to the popular Big Data platform -Conquer different data processing and analytics challenges using a multitude of tools such as Apache Spark, Elasticsearch, Tableau and more -A comprehensive, step-by-step guide that will teach you everything you need to know, to be an expert Hadoop Architect Book Description The complex structure of data these days requires sophisticated solutions for data transformation, to make the information more accessible to the users.This book empowers you to build such solutions with relative ease with the help of Apache Hadoop, along with a host of other Big Data tools. This book will give you a complete understanding of the data lifecycle management with Hadoop, followed by modeling of structured and unstructured data in Hadoop. It will also show you how to design real-time streaming pipelines by leveraging tools such as Apache Spark, and build efficient enterprise search solutions using Elasticsearch. You will learn to build enterprise-grade analytics solutions on Hadoop, and how to visualize your data using tools such as Apache Superset. This book also covers techniques for deploying your Big Data solutions on the cloud Apache Ambari, as well as expert techniques for managing and administering your Hadoop cluster. By the end of this book, you will have all the knowledge you need to build expert Big Data systems. What you will learn Build an efficient enterprise Big Data strategy centered around Apache Hadoop Gain a thorough understanding of using Hadoop with various Big Data frameworks such as Apache Spark, Elasticsearch and more Set up and deploy your Big Data environment on premises or on the cloud with Apache Ambari Design effective streaming data pipelines and build your own enterprise search solutions Utilize the historical data to build your analytics solutions and visualize them using popular tools such as Apache Superset Plan, set up and administer your Hadoop cluster efficiently Who this book is for This book is for Big Data professionals who want to fast-track their career in the Hadoop industry and become an expert Big Data architect. Project managers and mainframe professionals looking forward to build a career in Big Data Hadoop will also find this book to be useful. Some understanding of Hadoop is required to get the best out of this book.

How long is Modern Big Data Processing with Hadoop?

Modern Big Data Processing with Hadoop by V Naresh Kumar is 390 pages long, and a total of 97,500 words.

This makes it 132% the length of the average book. It also has 119% more words than the average book.

How Long Does it Take to Read Modern Big Data Processing with Hadoop Aloud?

The average oral reading speed is 183 words per minute. This means it takes 8 hours and 52 minutes to read Modern Big Data Processing with Hadoop aloud.

What Reading Level is Modern Big Data Processing with Hadoop?

Modern Big Data Processing with Hadoop 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 Modern Big Data Processing with Hadoop?

Modern Big Data Processing with Hadoop by V Naresh Kumar 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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