Batch Date: Dec 30th @ 7:00AM to 8:00AM
Faculty: Mr. Rama Krishna
Duration: 1 month
Location : Madhapur, Hyderabad.
Fee: 3000 INR
Venue :• BigData
DURGA SOFTWARE SOLUTIONS at MADHAPUR
Plot No : 58,
IInd Floor ,
Sai Nagar,
Madhapur, Hyderabad-500034.
Ph.No : 9505905786
Syllabus:
• Distributed Systems
- What is BigData
- Characterstics of BigData
- Problems with BigData
- Handling BigData
• HADOOP Core Concepts
- Introduction to Distributed Systems
- Problems with Existing Distributed Systems to deal BigData
- Requirements of NewApprocach
- HADOOP history
• HADOOP Cluster
- HDFS
- MapReduce
- Install Pseudo cluster
- Install Multi node cluster
- Configuration Introduction to HADOOP Cluster
- The Five Deamons working
• NameNode
• JobTracker
• SecondaryNameNode
• TaskTracker
• DataNode• Writing MapReduce programs
- Introduction to HADOOP EcoSystem projects
• Understanding ToolRunner
- Understanding HADOOP API
- Basic programs of HADOOP MapReduce ApplicationForm
- Driver Code
- Mapper Code
- Reducer Code
- Eclipse intigration with HADOOP for Rapid Application Development
• Common MapReduce Algorithems
- More about ToolRunner
- Combiner
- Reducer
- configure and close methods
- Sorting
- Searching
- Indexing
- TF-IDF
• HADOOP EcoSystem
- Word_CoOccurance
- Flume
- Sqoop
- Importing data from RDBMS using sqoop
- Hive
- Introduction to hive
- Creating tables in hive
- Running queries
- Pig
- Introduction to pig
- Different modes of pig
• Advanced MapReduce Programming
- when to use hive and when to use pig
- HBASE
- Basics of HBASE
• Introduction to Ooziee
- Developing custom Writable
- Developing custom WritableComparable
- Understanding Input Output formats
• Hands ons Exercise for each concept
Check for more info...... www.durgasoft.com/Hadoop ramakrishna madhapur.asp
Batch Date: Dec 30th @ 7:00AM to 8:00AM
Faculty: Mr. Rama Krishna
Duration: 1 month
Location : Madhapur, Hyderabad.
Fee: 3000 INR
Venue :• BigData
DURGA SOFTWARE SOLUTIONS at MADHAPUR
Plot No : 58,
IInd Floor ,
Sai Nagar,
Madhapur, Hyderabad-500034.
Ph.No : 9505905786
Syllabus:
• Distributed Systems
- What is BigData
- Characterstics of BigData
- Problems with BigData
- Handling BigData
• HADOOP Core Concepts
- Introduction to Distributed Systems
- Problems with Existing Distributed Systems to deal BigData
- Requirements of NewApprocach
- HADOOP history
• HADOOP Cluster
- HDFS
- MapReduce
- Install Pseudo cluster
- Install Multi node cluster
- Configuration Introduction to HADOOP Cluster
- The Five Deamons working
• NameNode
• JobTracker
• SecondaryNameNode
• TaskTracker
• DataNode• Writing MapReduce programs
- Introduction to HADOOP EcoSystem projects
• Understanding ToolRunner
- Understanding HADOOP API
- Basic programs of HADOOP MapReduce ApplicationForm
- Driver Code
- Mapper Code
- Reducer Code
- Eclipse intigration with HADOOP for Rapid Application Development
• Common MapReduce Algorithems
- More about ToolRunner
- Combiner
- Reducer
- configure and close methods
- Sorting
- Searching
- Indexing
- TF-IDF
• HADOOP EcoSystem
- Word_CoOccurance
- Flume
- Sqoop
- Importing data from RDBMS using sqoop
- Hive
- Introduction to hive
- Creating tables in hive
- Running queries
- Pig
- Introduction to pig
- Different modes of pig
• Advanced MapReduce Programming
- when to use hive and when to use pig
- HBASE
- Basics of HBASE
• Introduction to Ooziee
- Developing custom Writable
- Developing custom WritableComparable
- Understanding Input Output formats
• Hands ons Exercise for each concept
Check for more info...... www.durgasoft.com/Hadoop ramakrishna madhapur.asp
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