| Day |
Topics – Using Hadoop’s Core |
|
| Day 1 |
HDFs: What it is, and how it works |
Demo + Lab |
| Analytics overview |
|
| Install the MovieLens dataset into HDFS using the Ambari UI/Using the command line |
|
| MapReduce: What it is, and how it works |
|
| Installing Python, MR Job, and nano |
|
| Programming Hadoop with Pig |
|
| Introducing Ambari |
|
| Introducing Pig/More Pig Latin |
|
| Programming Hadoop with Spark |
|
| Why Spark? |
|
| The Resilient Distributed Datasets (RDD) |
|
| Datasets and Spark 2.0 |
|
|
|
Topics – Using Relational/non- Relational Data Stores with Hadoop |
|
| Day 2 |
What is Hive and how Hive works? |
Demo + Lab |
| Integrating MySQL with Hadoop |
|
| Why NoSQL? |
|
| What is HBase |
|
| Cassandra Overview |
|
| MongoDB Overview |
|
| Querying Your Data Interactively |
|
| Overview of Drill, Phoenix, and Presto |
|
| Setting up Drill, Phoenix, and Presto |
|
| Managing Your Cluster |
|
| Yarn, Tez, Mesos, Zookeeper, Oozie, Zeppelin and Hue explained |
|
| Feeding Data to Your Cluster |
|
| Kafka and Flume Explained |
|
| Setting up Kafka and Flume |
|
| Analyzing Streams of Data |
|
| Spark Streaming, Apache Storm and Flink Overview |
|
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