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Hadoop Ecosystem Fundamentals & Absractors (Pig, Hive, Hbase)

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44154


The Apache Hadoop is a framework that allows distributed processing of large data sets across clusters of computers using a simple programming model. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.In this seminar we’ll emphasize the need for Hadoop and BigData. We will review the architecture for Hadoop, learn about the different Hadoop nodes and their roles in the cluster, provide a brief introduction to MapReduce, learn about Impala and Hive – writing and executing SQL queries on top of Hadoop and look at Hadoop file system – HDFS.We will also cover real life use cases that will allow us to better understand what this amazing framework can do.This seminar is ideal for DBAs, IT administrators, BI professionals, and programmers looking to take their first steps in working with Hadoop. Note that this seminar is not intended for experienced Hadoop administrators or developersIntroduction to Big Data
  • Big Data Characteristics and Use-Cases
  • Big Data from Business Perspective - When to Consider a Big Data Solution?
  • Challenges and Limitations of Big Data Implementation
The Data in Big Data
  • Structured vs. Semi-structured vs. Unstructured Data
  • Various Phases of Data Processing
Hadoop High Overview
  • Apache Hadoop Architecture: HDFS, MapReduce and YARN
  • Introduction to the Hadoop Ecosystem
Big Data Analytics
  • Analyzing data using Hive, Pig, HBase and Spark
Big Data Streaming and Transportation
  • Working with Flume, Sqoop and Kafka
  • Automating Tasks
  • Creating automated workflows using Apache Oozie

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