Apache Spark - the Second Generation Big Data Technology

This tutorial covers: Introduction to Spark – Why, what and Features, Understanding Spark Key Terms, RDDs, Spark Ecosystem, Shark, Spark Streaming, MLLib, GraphX, SparkR, Data flow in Spark, Spark Examples with Demo, Fault tolerance in Spark, Spark Use Cases, Spark streaming, Spark Sql, Behavior with Not Enough RAM, Organizations Using Spark



http://data-flair.com/
Email us: info@data-flair.com
Phone: +91-8451097879

About Big Data - Apache Spark Training Course:
An online course designed by Spark Experts to provide in-depth knowledge and practical skills in the field of Big Data and Spark to make you successful Spark Expert.

Please contact us for more details: info@data-flair.com, +91-8451097879.

Posted by HadoopManiac at Monday, January 19, 2015
5 comments

Introduction to HDFS | Hadoop Distributed File System Tutorial






http://data-flair.com/course/big-data-and-hadoop/
Email us: info@data-flair.com
Phone: 8451097879

This video covers: Basics of Hadoop Distributed File System HDFS, Introduction to HDFS, HDFS Architecture, HDFS Nodes, NameNode and DataNode Daemons, HDFS Features, Fault tolerance, High Availability, Reliable Data Storage, Replication, Blocks, File Read Operation, File Write Operation, Rack Awareness, Scalability, Real time Hadoop use cases, etc.

About Big Data - Hadoop Training Course:
An online course designed by Hadoop Experts to provide indepth knowledge and practical skills in the field of Big Data and Hadoop to make you successful Hadoop Developer.

Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Hadoop Cluster- Single and multi node, Hadoop 2.0, Flume, Sqoop, Map-Reduce, PIG, Hive, Hbase, Zookeeper, Oozie etc. will be covered in the course.


Course Objectives:
After the completion of the ‘Big Data and Hadoop’ Course you should be able to:
1. Master the concepts of Hadoop Distributed File System and MapReduce framework
2. Setup a Hadoop on single and multi node Cluster
3. Understand Data Loading Techniques using Sqoop and Flume
4. Program in MapReduce (Both MRv1 and MRv2)
5. Learn to write Complex MapReduce programs
6. Program in YARN (MRv2)
7. Perform Data Analytics using Pig and Hive
8. Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing
9. Have a good understanding of ZooKeeper service
10. New features in Hadoop 2.0 — YARN, HDFS Federation, NameNode High Availability
11. Implement best Practices for Hadoop Development and Debugging
12. Implement a Hadoop Project
13. Work on a Real Life Project on Big Data Analytics and gain Hands on Project Experience

Please contact us for more details: info@data-flair.com, +91-8451097879.

Posted by HadoopManiac at Wednesday, January 14, 2015
0 comments

DataFlair Student Review of Hadoop Training




http://data-flair.com/
Email us: info@data-flair.com
Phone: 8451097879

This Video Contains: Feedback about DataFlair from our students.

About Big Data - Hadoop Training Course:
An online course designed by Hadoop Experts to provide indepth knowledge and practical skills in the field of Big Data and Hadoop to make you successful Hadoop Developer.

Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Hadoop Cluster- Single and multi node, Hadoop 2.0, Flume, Sqoop, Map-Reduce, PIG, Hive, Hbase, Zookeeper, Oozie etc. will be covered in the course.

Course Objectives:

After the completion of the ‘Big Data and Hadoop’ Course you should be able to:
1. Master the concepts of Hadoop Distributed File System and MapReduce framework
2. Setup a Hadoop on single and multi node Cluster
3. Understand Data Loading Techniques using Sqoop and Flume
4. Program in MapReduce (Both MRv1 and MRv2)
5. Learn to write Complex MapReduce programs
6. Program in YARN (MRv2)
7. Perform Data Analytics using Pig and Hive
8. Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing
9. Have a good understanding of ZooKeeper service
10. New features in Hadoop 2.0 — YARN, HDFS Federation, NameNode High Availability
11. Implement best Practices for Hadoop Development and Debugging
12. Implement a Hadoop Project
13. Work on a Real Life Project on Big Data Analytics and gain Hands on Project Experience



Please contact us for more details: info@data-flair.com, 8451097879.
Posted by HadoopManiac at Monday, January 05, 2015
30 comments

Learn Big Data with real life use-cases





http://data-flair.com/course/big-data-and-hadoop/

Email us: info@data-flair.com

Phone: +91-8451097879



This video covers: Basics of Big Data & Hadoop, Introduction to Big Data, Why Big Data, essence of Big Data, volume, velocity, variety, veracity of Big Data, Problems with conventional systems like RDBMS and OS file-system, Introduction of Hadoop, Introduction of Map-Reduce, Introduction of HDFS, Real time Hadoop use cases.



About Big Data - Hadoop Training Course:

An online course designed by Hadoop Experts to provide indepth knowledge and practical skills in the field of Big Data and Hadoop to make you successful Hadoop Developer.



Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Hadoop Cluster- Single and multi node, Hadoop 2.0, Flume, Sqoop, Map-Reduce, PIG, Hive, Hbase, Zookeeper, Oozie etc. will be covered in the course.





Course Objectives:



After the completion of the ‘Big Data and Hadoop’ Course you should be able to:



1. Master the concepts of Hadoop Distributed File System and MapReduce framework

2. Setup a Hadoop on single and multi node Cluster

3. Understand Data Loading Techniques using Sqoop and Flume

4. Program in MapReduce (Both MRv1 and MRv2)

5. Learn to write Complex MapReduce programs

6. Program in YARN (MRv2)

7. Perform Data Analytics using Pig and Hive

8. Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing

9. Have a good understanding of ZooKeeper service

10. New features in Hadoop 2.0 — YARN, HDFS Federation, NameNode High Availability

11. Implement best Practices for Hadoop Development and Debugging

12. Implement a Hadoop Project

13. Work on a Real Life Project on Big Data Analytics and gain Hands on Project Experience



Please contact us for more details: info@data-flair.com, +91-8451097879.
Posted by HadoopManiac at Sunday, January 04, 2015
2 comments

Hadoop Map Reduce Training Video





http://data-flair.com/course/big-data-and-hadoop/

Email us: info@data-flair.com

Phone: 8451097879



This video covers: MapReduce Concepts, What is Map, Map Task, Mapper, What is Reduce, Reduce Task, Reducer, Map & Reduce together, MR Job, Task, Split the job into tasks, Map-Reduce flow, Map-Reduce daemons, Job Tracker, Task Tracker, etc.





About Big Data - Hadoop Training Course:

An online course designed by Hadoop Experts to provide indepth knowledge and practical skills in the field of Big Data and Hadoop to make you successful Hadoop Developer.



Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Hadoop Cluster- Single and multi node, Hadoop 2.0, Flume, Sqoop, Map-Reduce, PIG, Hive, Hbase, Zookeeper, Oozie etc. will be covered in the course.





Course Objectives:



After the completion of the ‘Big Data and Hadoop’ Course you should be able to:



1. Master the concepts of Hadoop Distributed File System and MapReduce framework

2. Setup a Hadoop on single and multi node Cluster

3. Understand Data Loading Techniques using Sqoop and Flume

4. Program in MapReduce (Both MRv1 and MRv2)

5. Learn to write Complex MapReduce programs

6. Program in YARN (MRv2)

7. Perform Data Analytics using Pig and Hive

8. Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing

9. Have a good understanding of ZooKeeper service

10. New features in Hadoop 2.0 — YARN, HDFS Federation, NameNode High Availability

11. Implement best Practices for Hadoop Development and Debugging

12. Implement a Hadoop Project

13. Work on a Real Life Project on Big Data Analytics and gain Hands on Project Experience.



Please contact us for more details: info@data-flair.com, +91-8451097879.
Posted by HadoopManiac at Friday, January 02, 2015
0 comments
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