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  • Big Data
  • Intro to Big Data Hadoop Architecture
CursuriBig DataIntro to Big Data Hadoop Architecture
  • Day 1: Intro in Big Data and Hadoop Architecture/ecosystem 9

    • Capitol1.1
      Big Data: a bit of history and the V’s
    • Capitol1.2
      Some known and not so much know Big Data uses
    • Capitol1.3
      Lambda architecture overview
    • Capitol1.4
      What is Hadoop, HDFS emergence and MapReduce evolution
    • Capitol1.5
      Use cases of Hadoop
    • Capitol1.6
      Hadoop architecture overview, detailed and applicability cases : HDFS & MapReduce essentials, YARN
    • Capitol1.7
      Exercises on MapReduce
    • Capitol1.8
      Apache Hive, Impala + Exercises
    • Capitol1.9
      Understanding role of file formats in Hadoop: Apache Avro, Parquet, ORC (hands on exercises)
  • Day 2: Other projects that are most often part of the Hadoop ecosystem 11

    • Capitol2.1
      Data storage:
    • Capitol2.2
      Architecting data in Hadoop: storage options considerations
    • Capitol2.3
      Apache Hbase in the Hadoop Eco-system
    • Capitol2.4
      Distributed systems and CAP theorem
    • Capitol2.5
      noSQL solutions overview ( incl Redis)
    • Capitol2.6
      Data computing: Apache Spark intro
    • Capitol2.7
      Data analysis: SQL on Hadoop: Hive, Impala; Search: Solr/Elastic; Spark SQL
    • Capitol2.8
      Machine Learning: Spark MLlib
    • Capitol2.9
      Data ingestion: Apache Kafka
    • Capitol2.10
      Other: Oozie, Zookeeper, Hue
    • Capitol2.11
      Building a possible architecture for streaming data and batch data (incl ML): Trainer driven exercises
  • Day 3: Commercial distributions of Hadoop 9

    • Capitol3.1
      Cloudera:
    • Capitol3.2
      Architecture & components
    • Capitol3.3
      Cloudera specific tools & functions
    • Capitol3.4
      Use cases of Couldera
    • Capitol3.5
      Map-R:
    • Capitol3.6
      Architecture and components
    • Capitol3.7
      MapR specific features
    • Capitol3.8
      Use cases of Hadoop
    • Capitol3.9
      Comparison Cloudera and MapR
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    Prev Distributed systems and CAP theorem
    Next Data computing: Apache Spark intro

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