- Big Data Introduction
- Big Data Concept Part 1
- Big Data Concept Part 2
- Big Data Benefits Part 1
- Big Data Benefits Part 2
- Data Storage & Analysis
- Querying data
- Grid computing
- Big Data
- Important Note for Exercises
- Query a public dataset
- Creating a dataset
- Querying a table
- Big table instance
- Pub-Sub
- Hadoop Introduction
- Hadoop Features
- HDFS Architecture Part 1
- HDFS Architecture Part 2
- HDFS Architecture Part 3
- HDFS Components
- HDFS Client
- HDFS Components Part 2
- HDFS Components Part 3
- HDFS Components Part 4
- HDFS Client creating new file
- Rack Description
- HDFS Write Operation
- Selection of Data Nodes & Node Distance
- Serialization
- HDFS Blocks
- HDFS Caching & Failover
- HDFS Federation
- HDFS High Availability
- Hadoop Archive files
- Hadoop Releases
- Hadoop 2.0 features
- Cluster size specifications
- Master Node scenario
- Network Topology
- Cluster Setup & Installation
- Configuration Management
- HDFS Data Integrity
- Cycle of Big Data Management
- Cycle of Big Data Management 2
- Big data in the Cloud
- Hadoop
- Creating Cluster
- HUE HDFS File Browser
- HDFS File Browser 2
- Cloud SQL Instance
- Data Store Query
- Google Storage
- Map Reduce Introduction
- Map Reduce Part 1
- Map Reduce Part 2
- Map Reduce Phases
- Map Reduce Part 3
- Job Tracker Part 1
- Job Tracker Part 2
- Job Tracker Part 3
- Anatomy of Map Reduce Program
- Map Reduce Data Types
- Map Reduce Data Types 2
- Resource Manager Failure
- Map Reduce
- Submit Job
- Submit Job 2
- HUE Job Designer
- HUE METASTORE MANAGER
- YARN
- YARN Processing
- Yarn
- HIVE
- HIVE Basics
- HIVE Basics Part 2
- HIVE Architecture Part 1
- HIVE
- HIVE QUERY
- Apache PIG Introduction
- PIG modes
- Comparison of PIG, HIVE , Map Reduce
- PIG
- Data ingestion
- Query editors
- Components of Impala Server
- Impala Statestore
- Impala catalog service
- Job Designer