How Long to Read Big Data and Hadoop

How Long Does it Take to Read Big Data and Hadoop?

It takes the average reader 10 hours and 37 minutes to read Big Data and Hadoop by Mayank Bhushan

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

Description

KEY FEATURES ● Learn Apache Hadoop ecosystem and its core components. ● Discover advanced tools like Spark for real-time data processing. ● Master the fundamentals of Big Data and its applications. DESCRIPTION In today's data-driven world, harnessing the power of big data is no longer a luxury, but a necessity. This comprehensive guide, "Big Data and Hadoop," dives deep into the world of big data and equips you with the knowledge and skills you need to conquer even the most complex data landscapes. Start with the fundamentals of big data, exploring its growing significance and diverse applications. You'll look into the heart of the Apache Hadoop ecosystem, mastering its core components like HDFS and MapReduce. We'll demystify NoSQL databases, introducing you to HBase and Cassandra as powerful alternatives to traditional databases. Clarify the details of MapReduce programming with practical examples, and discover the power of PigLatin and HiveQL for efficient data analysis. Explore advanced tools like Spark, unlocking its potential for real-time data processing and analytics. Rounding out your knowledge, the book delves into practical applications, exploring real-world scenarios and research-based insights. By the end of this book, you'll emerge as a confident big data explorer, equipped to tackle any data challenge with expertise and precision. WHAT YOU WILL LEARN ● Gain a solid grasp of the fundamental concepts of big data. ● Acquire a comprehensive understanding of HDFS, MapReduce, YARN, Spark, and related components. ● Learn how to set up and configure Hadoop clusters to create scalable and reliable data processing environments. ● Develop the expertise to design, code, and execute MapReduce jobs to process and analyze vast datasets efficiently. ● Learn how to use Hadoop and related tools to perform advanced data analytics. WHO THIS BOOK IS FOR Whether you are a beginner or have some experience with big data. This book is for aspiring big data professionals, including data analysts, software developers, IT professionals, and students in computer science and related fields. TABLE OF CONTENTS 1. Big Data Introduction and Demand 2. NoSQL Data Management 3. MapReduce Technique 4. Basics of Hadoop 5. Hadoop Installation 6. MapReduce Applications 7. Hadoop Related Tools-I: HBase and Cassandra 8. Hadoop Related Tools-II: PigLatin and HiveQL 9. Practical and Research-based Topics 10. Spark

How long is Big Data and Hadoop?

Big Data and Hadoop by Mayank Bhushan is 618 pages long, and a total of 159,444 words.

This makes it 209% the length of the average book. It also has 195% more words than the average book.

How Long Does it Take to Read Big Data and Hadoop Aloud?

The average oral reading speed is 183 words per minute. This means it takes 14 hours and 31 minutes to read Big Data and Hadoop aloud.

What Reading Level is Big Data and Hadoop?

Big Data and 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 Big Data and Hadoop?

Big Data and Hadoop by Mayank Bhushan 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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