Hadoop

157 Duration: 25 Hours

The Apache Hadoop is an open source software and highly scalable distributed platform that enables applications to run on thousands of nodes involving thousands of terabytes of data. It can efficiently process the large volumes of unstructured data in relatively less time.

Amazon, EMC Corporation, Northrop Grumman and many more top IT Companies prefer Hadoop certification

Hadoop is an open-source framework, Most of the cloud-related concepts are explained as part of the Hadoop certification

There is a good demand for Hadoop professionals across the world and this is the right time to do the Hadoop certification

The average Hadoop professional salary ranging from $119,250 to $168,250 per year.


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Self Paced Learning

$118 /$131

  • Premium-quality materials
  • Self-learning content
  • Course Designed by industry specialists
  • Real Time Case Studies

Instructor Led Live Training

$210 /$233

  • Premium-quality materials
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  • Lifetime access to led live coaching classes
  • Real Time Case Studies
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      • 1.1 - Introduction to Big Data Hadoop
      • 1.2 - Enlightening you on why Hadoop
      • 1.3 - Existing traditional systems
      • 1.4 - Hadoop Vs traditional systems.
      • 1.5 - Problem with existing traditional system
      • 1.6 - Requirements for the new approach
      • 1.7 - Comparing SQL databases and NoSQL (Hadoop)
      • 2.1 - Overview and how to configure Hadoop
      • 2.2 - An Overview of Hadoop
      • 2.3 - Configuring of Hadoop in Ubuntu OS
      • 2.4 - An example in Hadoop
      • 3.1 - What is MapReduce in Hadoop
      • 3.2 - Data flow in MapReduce
      • 3.3 - Map operations & Reduce operations in Hadoop
      • 3.4 - Real-world “MapReduce” problems
      • 3.5 - Execution strategies for MapReduce in Hadoop
      • 4.1 - Architecture and components of HDFS
      • 4.2 - Name nodes
      • 4.3 - Data nodes
      • 4.4 - The Hadoop Command-Line Interface
      • 4.5 - Reading and writing data using Java
      • 4.6 - Hadoop Archives
      • 5.1 - Using Combiners in Hadoop
      • 5.2 - Reducing Intermediate Data with Combiners
      • 5.3 - Writing Partitioners
      • 5.4 - Better Load Balancing in Hadoop
      • 5.5 - Directly Accessing HDFS
      • 5.6 - Hands-On Exercise
      • 6.1 - Common MapReduce algorithms in Hadoop
      • 6.2 - Sorting
      • 6.3 - Searching
      • 6.4 - Indexing
      • 7.1 - Big Data Hadoop Best Practices
      • 7.2 - Introduction to HBase
      • 7.3 - What is HBase?
      • 7.4 - HBase Architecture in Hadoop
      • 7.5 - Hadoop HBase API
      • 7.6 - Managing large data sets with HBase
      • 7.7 - Using HBase in Hadoop applications
      • 8.1 - Summary
      • 8.2 - Sample Applications
      • 8.3 - References of training

    On successful Completion of your project, Asha24 Certifies you as a Hadoop Expert. Asha24 Hadoop certification is recognized in Top IT & MNC Companies.

    With the Hadoop Certification, you can apply for the following Roles

    1. Hadoop Developer

    2. Hadoop Architect

    3. Hadoop Tester

    4. Hadoop Administrator

    5. Data scientist 


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