Course Content
1. Hadoop Big Data
0/7
1.1 Big Data Introduction
1.2 Apache Hadoop and the Hadoop Ecosystem
1.3  Basic Java Overview for Hadoop
1.4 Getting started with Cloudera QuickStart VM
1.5 Apache Hadoop File Storage
1.6 Distributed Processing on an Apache Hadoop Cluster
1.7 MapReduce
2. Hadoop Ecosystem
0/6
2.1 Data Analysis using Pig
2.2 Data Analysis using Hive
2.3 Data Integration using Sqoop
2.4 Real time data streaming Flume
2.5 Hadoop No Sql database HBase
2.6 Zookeeper
3. Spark| Scala| Kafka
0/17
3.1 Scala Basics
3.2 Scala Programming
3.3 Programming with RDDs
3.4 Transforming Data with RDDs
3.5 Introduction to Pair RDDs
3.6 Spark SQL:DataFrames and Schemas
3.7 Querying tables using Spark SQL
3.8 Working with Datasets in Scala
3.9 Writing, Configuring, and Running Apache Spark Applications
3.10 Apache Spark Streaming: Introduction to D Streams
3.11 Apache Spark Streaming: Processing Multiple Batches
3.12  Apache Spark Streaming: Data Sources
3.13 Message Processing with Apache Kafka
3.14 Capturing Data with Apache Flume
3.15 Integrating Apache Flume and Apache Kafka
3.16 Hadoop on Google Cloud
3.17 Hadoop on AWS
Big Data with Hadoop Spark Scala Kafka
About Lesson
  • History of Hadoop
  • Problems with traditional large-scale systems
  • Requirements for a new approach
  • Why Hadoop is in demand in market nowadays?
  • Why we need Hadoop?
  • What is Hadoop?
  • Apache Hadoop Overview
  • Data Ingestion and Storage
  • Data Processing
  • Data Analysis and Exploration
  • Other Ecosystem Tools
  • Activity: Querying Hadoop Data
Previous
Next