Big Data and Hadoop Fundamentals, tools, and techniques for data-driven success - 2nd Edition

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Free Download Big Data and Hadoop: Fundamentals, tools, and techniques for data-driven success - 2nd Edition by Mayank Bhushan
English | December 28, 2023 | ISBN: 9355516665 | 470 pages | MOBI | 12 Mb
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
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471.01 MB | 00:17:03 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English


Files Included :
001 Welcome.mp4 (4.98 MB)
002 What you should know before watching this course.mp4 (832.07 KB)
003 Using the exercise files.mp4 (502.45 KB)
004 Understanding the limits of relational database management systems.mp4 (6.48 MB)
005 Introducing CAP (consistency, availability, partitioning).mp4 (4.88 MB)
006 Understanding big data.mp4 (6.4 MB)
007 Introducing Hadoop.mp4 (11.02 MB)
008 Understanding the difference between HBase and Hadoop.mp4 (4.56 MB)
009 Exploring the future of Hadoop.mp4 (1.35 MB)
010 Understanding Java virtual machines (JVMs).mp4 (1.66 MB)
011 Exploring Hadoop Distributed File System (HDFS) and other file systems.mp4 (4.04 MB)
012 Introducing Hadoop cluster components.mp4 (5.88 MB)
013 Exploring the Apache and Cloudera Hadoop distributions.mp4 (6.21 MB)
014 Exploring the Hortonworks and MapR Hadoop distributions.mp4 (6.32 MB)
015 Exploring Cloudera Hadoop via Cloudera Live.mp4 (14.64 MB)
016 Understanding Hadoop versions.mp4 (2.58 MB)
017 Using Amazon Web Services (AWS) and Microsoft cloud-hosted Hadoop.mp4 (34.42 MB)
018 Understanding the parts and pieces.mp4 (6.18 MB)
019 Hosting Hadoop locally with the Cloudera developer distribution.mp4 (3.27 MB)
020 Setting up the Cloudera Hadoop developer virtual machine (VM).mp4 (2.43 MB)
021 Adding Hadoop libraries to your test environment.mp4 (2.35 MB)
022 Picking your programming language and IDE.mp4 (1.56 MB)
023 Exploring the Cloudera VM IDE.mp4 (13.56 MB)
024 Understanding MapReduce 1 0.mp4 (14.93 MB)
025 Exploring the components of a MapReduce job.mp4 (12.85 MB)
026 Working with the Hadoop file system.mp4 (12.34 MB)
027 Using the console to run a MapReduce job.mp4 (14.59 MB)
028 Reviewing the code for a MapReduce WordCount job.mp4 (17.55 MB)
029 Running and tracking Hadoop jobs.mp4 (5.73 MB)
030 Tuning by physical methods.mp4 (9.11 MB)
031 Tuning a mapper.mp4 (10.22 MB)
032 Tuning a reducer.mp4 (2.95 MB)
033 Using a cache for lookups.mp4 (4.89 MB)
034 Understanding MapReduce 2 0.mp4 (6.28 MB)
035 Coding a basic WordCount in Java using MapReduce 2 0.mp4 (17.24 MB)
036 Exploring advanced WordCount in Java using MapReduce 2 0.mp4 (9.41 MB)
037 Introducing Hive and HBase.mp4 (3.67 MB)
038 Understanding Hive.mp4 (9.42 MB)
039 Revisiting WordCount using Hive.mp4 (8.57 MB)
040 Understanding more about HQL query optimization.mp4 (4.63 MB)
041 Exploring Hive tools in the Cloudera distribution and the Hue web console.mp4 (21.24 MB)
042 Introducing Pig.mp4 (6.2 MB)
043 Understanding Pig.mp4 (5.96 MB)
044 Exploring use cases for Pig.mp4 (5.28 MB)
045 Exploring Pig tools in the Cloudera distribution.mp4 (12.43 MB)
046 Introducing Oozie.mp4 (3.97 MB)
047 Building a workflow with Oozie.mp4 (11.3 MB)
048 Introducing Sqoop.mp4 (3.31 MB)
049 Importing data with Sqoop.mp4 (6.88 MB)
050 Introducing Flume.mp4 (4.24 MB)
051 Introducing ZooKeeper.mp4 (3.96 MB)
052 Using ZooKeeper to coordinate workflows.mp4 (3.37 MB)
053 Introducing Impala.mp4 (5.91 MB)
054 Using Impala.mp4 (8.62 MB)
055 Introducing Mahout.mp4 (7.42 MB)
056 Introducing Storm.mp4 (3.86 MB)
057 Introducing Apache Spark.mp4 (6.27 MB)
058 Understanding the Hive landscape.mp4 (14.15 MB)
059 Using Tableau, Excel, and traditional tools.mp4 (7.34 MB)
060 Using D3, BigML, and new tools.mp4 (17.48 MB)
061 Next steps.mp4 (1.22 MB)
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Code:
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Code:
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Code:
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