/> Parishram Bhawan, Himayathnagar, India - 500004.
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Hindi Proficient
English Proficient
GIET Rajahmundry 2013
Bachelor of Technology (B.Tech.)
Parishram Bhawan, Himayathnagar, India - 500004
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1 Student Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in DevOps Training
5
Teaching Experience in detail in DevOps Training
Devops training
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Amazon Web Services Training
5
AWS Certification offered
AWS Certified DevOps Engineer
Teaching Experience in detail in Amazon Web Services Training
good
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Big Data Training
8
Big Data Technology
Hadoop, Apache Spark, Scala
Teaching Experience in detail in Big Data Training
BigData • What is BigData • Characterstics of BigData • Problems with BigData • Handling BigData • Distributed Systems • Introduction to Distributed Systems • Problems with Existing Distributed Systems to deal BigData • Requirements of NewApprocach • HADOOP history • HADOOP Core Concepts • HDFS • MapReduce • HADOOP Cluster • Install Pseudo cluster • Install Multi node cluster • Configuration Introduction to HADOOP Cluster • The Five Deamons working • NameNode • JobTracker • SecondaryNameNode • TaskTracker • DataNode • Introduction to HADOOP EcoSystem projects • Writing MapReduce programs • Understanding HADOOP API • Basic programs of HADOOP MapReduce ApplicationForm - Driver Code - Mapper Code - Reducer Code • Eclipse intigration with HADOOP for Rapid Application Development • Understanding ToolRunner • More about ToolRunner • Combiner • Reducer • configure and close methods • Common MapReduce Algorithems • Sorting • Searching • Indexing • TF-IDF • Word_CoOccurance • HADOOP EcoSystem • 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 • when to use hive and when to use pig • HBASE • Basics of HBASE • Advanced MapReduce Programming • Developing custom Writable • Developing custom WritableComparable • Understanding Input Output formats Every day you will be assigned with different tasks.
1. Which classes do you teach?
I teach Amazon Web Services, Big Data and DevOps Training Classes.
2. Do you provide a demo class?
Yes, I provide a free demo class.
3. How many years of experience do you have?
I have been teaching for 5 years.
1 Student Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in DevOps Training
5
Teaching Experience in detail in DevOps Training
Devops training
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Amazon Web Services Training
5
AWS Certification offered
AWS Certified DevOps Engineer
Teaching Experience in detail in Amazon Web Services Training
good
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Big Data Training
8
Big Data Technology
Hadoop, Apache Spark, Scala
Teaching Experience in detail in Big Data Training
BigData • What is BigData • Characterstics of BigData • Problems with BigData • Handling BigData • Distributed Systems • Introduction to Distributed Systems • Problems with Existing Distributed Systems to deal BigData • Requirements of NewApprocach • HADOOP history • HADOOP Core Concepts • HDFS • MapReduce • HADOOP Cluster • Install Pseudo cluster • Install Multi node cluster • Configuration Introduction to HADOOP Cluster • The Five Deamons working • NameNode • JobTracker • SecondaryNameNode • TaskTracker • DataNode • Introduction to HADOOP EcoSystem projects • Writing MapReduce programs • Understanding HADOOP API • Basic programs of HADOOP MapReduce ApplicationForm - Driver Code - Mapper Code - Reducer Code • Eclipse intigration with HADOOP for Rapid Application Development • Understanding ToolRunner • More about ToolRunner • Combiner • Reducer • configure and close methods • Common MapReduce Algorithems • Sorting • Searching • Indexing • TF-IDF • Word_CoOccurance • HADOOP EcoSystem • 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 • when to use hive and when to use pig • HBASE • Basics of HBASE • Advanced MapReduce Programming • Developing custom Writable • Developing custom WritableComparable • Understanding Input Output formats Every day you will be assigned with different tasks.
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