Big Data Hadoop Course

Big Data Hadoop course and training in Chandigarh for industry training student. Big data is the part of the Apache project sponsored by the Apache Software Foundation.  Professional course and training in Big Data and Hadoop with our comprehensive Hadoop live training in Chandigarh.

Hadoop concepts like MapReduce, Yarn, Pig, Hive, HBase, Oozie, Flume and Sqoop. Learn from industry experts, get your questions answered, enjoy round-the clock support and access Hadoop tutorials on-the-go. Must Have Knowledge of Hadoop Distributed File System & MapReduce work, Hardware, network configurations for Hadoop clusters-Cloudera,Hortonworks, Amazon.

Big Data Hadoop Training Syllabus:

• Introduction & Understanding Pseudo Cluster Environment
• Big Data, 3Vs, Role of Hadoop in Big data
• Hadoop and its ecosystem, Overview of other Big Data Systems
• Requirements in Hadoop, Use Cases of Hadoop
• Cluster Specification
• Hadoop Configuration (Configuration Management, Environment Settings, Important Hadoop Daemon Properties, Hadoop Daemon Addresses and Ports, Other Hadoop Properties)
• Basic Linux and HDFS commands
• HDFS
• Design, Architecture, Data Flow
• CLI Commands, Java API, Data Flow Archives
• Data Integrity, WebHDFS, Compression
• MAPREDUCE
• Theory
• Data Flow (Map – Shuffle – Reduce)
• Programming [Mapper, Reducer, Combiner, Partitioner]
• Writables, InputFormat
• Outputformat, Streaming API,
• Input Formats (Input Splits and Records, Text Input, Binary Input, Multiple Inputs)
• OutPut Formats (TextOutput, BinaryOutPut, Multiple Output)
• ADVANCED MAPREDUCE PROGRAMMING
• Counters
• Custom InputFormat, Distributed Cache
• Side Data Distribution, Joins
• Sorting, ToolRunner, Debugging
• Performance Fine tuning
• Data Flow (Anatomy of a File Read, Anatomy of a File Write, Coherency Model)
• Parallel Copying with DISTCP
• ADMINISTRATION – Information required at Developer level
• Hardware Considerations – Tips and Tricks
• Schedulers & Balancers
• NameNode Failure and Recovery
• HBase
• NoSQL vs SQL
• CAP Theorem, Architecture
• Configuration, Role of Zookeeper
• Java Based APIs
• MapReduce Integration
• Performance Tuning
• HIVE
• Architecture, Tables
• DDL – DML – UDF – UDAF
• Partitioning, Bucketing, Hive-Hbase Integration
• Hive Web Interface, Hive Server
• The Zookeeper Service (Data Modal, Operations, Implementation, Consistency, Sessions, States)
• Building Applications with Zookeeper (Zookeeper in Production)
• Database Imports
• Working with Imported Data