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Big Data 

  • Offered byXLNC

Big Data
 at 
XLNC 
Overview

A good understanding of the basics of Big Data and Hadoop makes it easier to improve your analytic skills

Duration

6 months

Total fee

1,999

Mode of learning

Online

Schedule type

Self paced

Credential

Certificate

Big Data
 at 
XLNC 
Highlights

  • Get 24X7 access of the course content
  • Learn from comprehensive Quizzes
Details Icon

Big Data
 at 
XLNC 
Course details

Who should do this course?
  • For professionals who intend to gain a basic understanding of Big Data and Hadoop
  • For ideal for professionals in senior management who requires a theoretical understanding of how Hadoop can solve their Big Data problem
What are the course deliverables?
  • This course mainly covers the following aspects:
  • Characteristics of Big Data
  • Basics of Hadoop and HDFS architecture
  • Features and processes of MapReduce
  • Basics of Pig, Hive and HBase
  • Commercial distributions of Hadoop
  • Key components of the Hadoop ecosystem
  • Introduction to Sqoop & ZooKeeper
More about this course
  • Ever since the origin of new technologies, devices, and communication means like social networking sites the amount of data produced by mankind is tremendous and growing rapidly
  • Big data means really a big data, it is a collection of large datasets that cannot be processed using traditional computing techniques. Big data is not merely a data, rather it has become a complete subject, which involves various tools, techniques and frameworks
  • The 'Introduction to Big Data and Hadoop-is an ideal course package for individuals who want to understand the basic concepts of Big Data and Hadoop
  • On completing this course, learners will be able to interpret what goes behind the processing of huge volumes of data as the industry switches over from excel-based analytics to real-time analytics
Read more

Big Data
 at 
XLNC 
Curriculum

LESSON_1.0

INTRODUCTION_TO_BIGDATA_AND_HADOOP

LESSON_1.1

HIVE_HBASE_HADOOP-ECOSYSTEM_COMPONENTS

LESSON_1.2

QUIZ

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Big Data
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