BIG DATA HADOOP Training in Hyderabad
Course Content for Hadoop Online Training and Support
- Need for big data Hadoop
- Introduction to Big Data
- Problem with existing traditional system
- Requirements for new approach
- Comparing SQL databases and NOSQL(Hadoop)
- Hadoop Basic Concepts
- An Overview of Hadoop
- Configuring a Hadoop in Ubuntu OS
- First example in Hadoop
- MapReduce
- What is MapReduce?
- Data flow in MapReduce
- Map operation
- Reduce operation
- Real-world "MapReduce" problems
- Execution strategies for MapReduce
- The Hadoop Distributed Filesystem
- Namenodes
- Datanodes
- The Command-Line Interface
- Reading and writing data using Java
- Hadoop Archives
- Delving Deeper Into the Hadoop API
- Using Combiners
- Reducing Intermediate Data with Combiners
- Writing Partitioners for Better Load Balancing
- Directly Accessing HDFS
- Hands-On Exercise
- Common MapReduce Algorithms
- Sorting
- Searching
- Indexing
- Hadoop Optimizations
- Hadoop Best Practices
- Introduction to HBase
- What is HBase?
- HBase Architecture
- HBase API
- Managing large data sets with HBase
- Using HBase in Hadoop applications
- Introduction to Zookeeper
- Summary
- Sample Applications
- References of training
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