Hadoop

8157 Reviews Course 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.

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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

CCP Data Engineers possesses the skills to develop reliable, autonomous, scalable data pipelines that result in optimized data sets for a variety of workloads.



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Reviews

Aswini Arun

Hadoop

Attending the course in Asha24 is the top. Virtual classes are conducted by the most beneficial in class tutors. It is as interactive as in the real class. You can do any certification program at any ..

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