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Big Data (Hadoop) Developer Online Training
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Underst anding Big Dat a
Introduction/Installation - Hadoop Custom VM(Single Node)
Understanding Big Data
3V (Volume-Variety-Velocity) Characteristics
Structured and Unstructured Data
Application and use cases of Big Data
Limitations of Traditional Large Scale Systems
How a distributed way of computing is superior (cost and scale)
HDFS
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2. HDFS Overview and Architecture
Data Replication
Safe Mode
Name Node
Checkpoint Node
Backup Node
Configuration Files
HDFS Dat a Flows
Read
Write
HDFS Commands
File System
Administrative
Advanced HDFS Feat ures
HDFS Federation
HDFS High Availability
MapReduce Overview
Functional Programming Paradigms
Input and Output Formats
Hadoop Data Types
MapReduce Overview
Input Splits
Shuffling
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3. Sorting
Partitioning
Configuration Files
Distributed Cache
MR Alogrit hm and Dat a Flow
WordCount
MapReduce Archit ect ure
Legacy MR
Next Generation MapReduce (aka YARN/MRV2)
Developing and Deploying MR Programs
Standalone Mode
Hadoop Streaming
Opt imizers
Combiners
JVM Reuse
Compression
MR Best Pract ice and Debugging
Fundament al MR Algorit hms (Non-Graph)
Student Database
Max Temperature
Higher Level Abst ract ions for MapReduce – 1
Pig Introduction
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4. Pig Latin Language Constructs
Pig User Defined Functions
Pig Use Cases
Higher Level Abst ract ions for MapReduce - 2
Hive - Introduction
Hive QL
Hive User Defined Functions
Hive Use Cases
NOSQL Dat abases
NoSQL Concept s
Review of RDBMS
Need for NOSQL
Brewers CAP Theorem
ACID vs BASE
Different Types of NoSQL Dat abases
Key Value
Columnar
Document
Graph
Columnar Databases
Hadoop Ecosyst em
HBASE vs Cassandra
HBASE Architecture
HBASE Data Modeling
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5. HBASE Commands
HBASE Coprocessors - Endpoints
HBASE Coprocessors - Observers
SQOOP
Flume & OOZIE
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