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Big Data Analytics Course Syllabus

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Syllabus for The Big Data Analytics Course

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Big Data Introduction

1

  • Big data: definition and taxonomy
  • Big data value for the enterprise
  • Setting up the demo environment
  • First steps with the Hadoop “ecosystem”
The Hadoop Ecosystem

2

  • Introduction to Hadoop
  • Hadoop components: MapReduce/Pig/Hive/HBase
  • Loading data into Hadoop
  • Handling files in Hadoop
  • Getting data from Hadoop
Querying big data with Hive

3

  • Introduction to the SQL Language
  • From SQL to HiveQL
  • Introduction to HIVE e HIVEQL
  • Using Hive to query Hadoop files
Big Data & Machine learning

4

  • Quick into to Machine learning
  • Big Data & Machine Learning
  • Machine learning tools
    • Spark & SparkML
    • H2O
    • Azure ML
Big data & Machine learning

5

  • Big Data & Machine Learning (continued)
  • Next steps in the big data world

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