1 HDFS Storage
ㆍHDFS Architecture
ㆍUsing HDFS Storage
ㆍHDFS Snapshots
ㆍHeterogeneous Storage

2 Cloud Storage
ㆍAzure Blob/File/Queue/Table 정의
ㆍAWS S3

3 Kudu
ㆍOverview and Architecture
ㆍDesigning Schemas
ㆍKudu tables
ㆍCreating and Querying Tables

4 Interface with Impala and Spark
ㆍLoading and Modifying data 
ㆍSpark SQL and Kudu
ㆍDefining partition strategy

5 Hue
ㆍInstalling Hadoop Clients

6 Basic data analysis with Pig
ㆍPIG Architecture
ㆍData Pre－processing with pig
ㆍPig Latin 활용한 데이터 분석

7 Introduction to Apache Hive and Impala
ㆍhive and impala 기능
ㆍApache Hive 및 Impala를 사용하여 Query
ㆍData analysis with Hive and Impala

8 Integration with scheduler & data visualization
ㆍData visualization tool integration
ㆍOozie ? workflow integration＂