hadoop training melbourne | Australia ( Magnific training)
Hadoop training melbourne (Australia) | Magnific training
Outline
Introduction
The Motivation For Hadoop
- Problems with traditional large-scale systems
- Requirements for a new approach
Hadoop: Basic Concepts
- An Overview of Hadoop
- The Hadoop Distributed File System
- Hands-On Exercise
- How MapReduce Works
- Hands-On Exercise
- Anatomy of a Hadoop Cluster
- Other Hadoop Ecosystem Components
Writing a MapReduce Program
- The MapReduce Flow
- Examining a Sample MapReduce Program
- Basic MapReduce API Concepts
- The Driver Code
- The Mapper
- The Reducer
- Hadoop’s Streaming API
- Using Eclipse for Rapid Development
- Hands-on exercise
- The New MapReduce API
Integrating Hadoop Into The Workflow
- Relational Database Management Systems
- Storage Systems
- Importing Data from RDBMSs With Sqoop
- Hands-on exercise
- Importing Real-Time Data with Flume
- Accessing HDFS Using FuseDFS and Hoop
Delving Deeper Into The Hadoop API
- More about ToolRunner
- Testing with MRUnit
- Reducing Intermediate Data With Combiners
- The configure and close methods for Map/Reduce Setup and Teardown
- Writing Partitioners for Better Load Balancing
- Hands-On Exercise
- Directly Accessing HDFS
- Using the Distributed Cache
- Hands-On Exercise
Common MapReduce Algorithms
- Sorting and Searching
- Indexing
- Machine Learning With Mahout
- Term Frequency – Inverse Document Frequency
- Word Co-Occurrence
- Hands-On Exercise
Using Hive and Pig
- Hive Basics
- Pig Basics
- Hands-on exercise
Practical Development Tips and Techniques
- Debugging MapReduce Code
- Using LocalJobRunner Mode For Easier Debugging
- Retrieving Job Information with Counters
- Logging
- Splittable File Formats
- Determining the Optimal Number of Reducers
- Map-Only MapReduce Jobs
- Hands-On Exercise
More Advanced MapReduce Programming
- Custom Writables and WritableComparables
- Saving Binary Data using SequenceFiles and Avro Files
- Creating InputFormats and OutputFormats
- Hands-On Exercise
Joining Data Sets in MapReduce
- Map-Side Joins
- The Secondary Sort
- Reduce-Side Joins
Graph Manipulation in Hadoop
- Introduction to graph techniques
- Representing graphs in Hadoop
- Implementing a sample algorithm: Single Source Shortest Path.
- or full course details please visit our website
- www.hadooponlinetraining.net
- Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.
- * Resume preparation and Interview assistance will be provided.
- For any further details please
- contact India +91-9052666559
- Usa : +1-678-693-3475.
- visit www.hadooponlinetraining.net
- please mail us all queries to info@magnifictraining.com
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