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Hadoop is an open-source framework used for storing and processing large volumes of data in a distributed computing environment. The Hadoop ecosystem includes various tools such as HDFS, MapReduce, YARN, Hive, Pig, HBase, and many more. Hadoop Certification Hadoop Certification training in bamako in Mali is designed to provide individuals with a deep understanding of the fundamental concepts of Big Data and Hadoop tools, from basic to advanced levels. The Hadoop Certification training program covers topics such as the Hadoop architecture, HDFS, MapReduce, YARN, Hive, Pig, HBase, and other Hadoop tools.

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Hadoop Certification

1: Introduction to Big Data and Hadoop 

  • What is Big Data? 
  • Characteristics of Big Data 
  • Sources of Big Data 
  • Introduction to Hadoop 
  • Hadoop ecosystem 

2: YARN 

  • Introduction to YARN 
  • YARN Architecture 
  • Components of YARN 
  • YARN Application Execution Flow 

3: Hadoop Architecture and HDFS 

  • Hadoop Architecture Overview 
  • Hadoop Cluster Configuration 
  • HDFS Architecture 
  • HDFS Operations and Commands 

4: Hadoop MapReduce Framework 

  • Introduction to MapReduce 
  • MapReduce Architecture 
  • MapReduce Execution Flow 
  • MapReduce Data Types and Formats 

5: Pig 

  • Introduction to Pig 
  • Pig Architecture 
  • Pig Latin Basics 
  • Pig Data Types and Functions 

6: Hive 

  • Introduction to Hive 
  • Hive Architecture 
  • Hive Data Types and Query Language 
  • Hive Partitioning and Bucketing 

7: Advanced Hive and HBase 

  • Hive Query Optimization 
  • Hive UDFs 
  • HBase Introduction 
  • HBase Data Model 

8: Advanced HBase 

  • HBase Architecture 
  • HBase Shell Commands 
  • HBase CRUD Operations 
  • HBase Filters 

9: Sqoop 

  • Introduction to Sqoop 
  • Sqoop Architecture 
  • Sqoop Import and Export Commands 
  • Sqoop Best Practices 

10: Flume 

  • Introduction to Flume 
  • Flume Architecture 
  • Flume Sources and Sinks 
  • Flume Channel Selector 

11: MongoDB (As part of NoSQL Databases) 

  • Introduction to NoSQL Databases 
  • Introduction to MongoDB 
  • MongoDB Architecture 
  • MongoDB Data Modeling 

12: Spark 

  • Introduction to Spark 
  • Spark Architecture 
  • Spark RDDs 
  • Spark Streaming 

13: Hadoop Project 

  • Real-world project using Hadoop 
  • Understanding the project requirements 
  • Implementing the project using Hadoop ecosystem tools 
  • Testing and validation of the project

Target Audience

  * Software Developers 

 * Project Managers 

 * ETL and Data Warehousing Professionals

 * Software Architects Data Analysts & Business Intelligence 

 * Professionals DBAs in bamako in Mali

IT Includes

1. 5 days interactive instructor-led training 

2. Training provided by highly qualified, certified, and accredited trainers from Authorised Governing Body and Mindbel 

3. Flexible Schedules 

4. Certification.

ACCREDITED BY

Authorised Governing Body and Mindbel

DURATION

Online Instructor-led (5 days) English

EXAM

Complete the training from Mindbel Training and clear your certification through us

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Related Courses

Hadoop Certification

Online Instructor-led (5 days) English

Package price: $1.00

Benefits of Hadoop Certification training with Mindbel

Average Salary

$120K

per annum

Expected Job growth rate

24%

Companies Hiring

Job Roles

  • Big Data Administrator
  • Big Data Developer
  • Machine Learning Engineer
  • Data Scientist
  • Business Intelligence Analyst
  • Product Manager 
  • Solution Architect
  • Hadoop Consultant
  • Big Data Product Manager 

Benefits

 * Mindbel's course offers expert guidance, ensuring you receive high-quality

   education in Hadoop technologies from experienced instructors.

 * The course covers a wide range of Hadoop components and technologies, giving

   you a well-rounded understanding of big data.

 * You will gain practical experience through hands-on labs and projects,

   allowing you to apply your knowledge in real-world scenarios.

 * A Hadoop certification from Mindbel is well-recognized in the industry,

   opening doors to a variety of job opportunities.

 * With a Hadoop certification, you'll stand out to potential employers,

   enhancing your career prospects and earning potential.

 * You will develop critical thinking and problem-solving skills as you work

   with big data, preparing you for complex challenges in your career.

 * Big data skills are in high demand, and a Hadoop certification can make you

   more attractive to employers seeking these skills.

 * Mindbel's courses often offer flexible learning options, allowing you to

   balance your studies with your existing commitments. 

Hadoop Certification Training FAQs

Hadoop Certification is an exam-based certification that validates an individual's knowledge and skills in Hadoop ecosystem tools such as HDFS,

MapReduce, YARN, Hive, Pig, HBase, and others.

There are no specific prerequisites for Hadoop Certification. However, having a basic understanding of programming concepts, data warehousing, and SQL can be

helpful.

Hadoop Certification validates an individual's skills in Hadoop ecosystem tools which are in high demand in the current job market. It also

provides a competitive advantage over non-certified professionals and can lead

to higher-paying job opportunities.

The Hadoop Certification Exam is typically a multiple-choice format.  

The passing score for Hadoop Certification varies depending on the exam and certification level.

Mindbel provides online courses and study materials available to prepare for Hadoop Certification.

Hadoop Certification is usually valid for 2-3 years, after which it needs to be renewed by passing a recertification exam.

There are multiple levels of Hadoop Certification, including Cloudera Certified Developer for Apache Hadoop, Hortonworks Certified Associate, and MapR Certified

Hadoop Developer.

The cost of Hadoop Certification varies depending on the exam and certification level.

The Hadoop Certification Exam can be taken at authorized testing centers or online, depending on the certification provider.

Becoming Hadoop Certified demonstrates your proficiency in big data technologies, making you more competitive in data engineering, analytics, and

related roles.

Most certification exams have a time limit for completion.

Hadoop Certifications are recognized in the field of big data and data engineering, especially within organizations that use Hadoop for data

processing.

Yes, you can usually retake the exam if you do not pass on your first attempt.

Yes, there are online communities, forums, and user groups where Hadoop professionals can interact, seek assistance, and discuss certification-related

topics and best practices.

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