3. www.click4learning.com is a subsidiary of APPIT.
1. Partnered with 150 consultants globally who has a strong
appetite for learning and teaching.
2. C4L brings in the consultants with onsite exposure to teach
real time scenarios and prepare students to face the projects
immediately
3. Every consultant we hire for training, goes through the
rigorous checks for the teaching appetite and the onsite
exposure.
www.click4learning.com
About Click4learning.com:
4. APPIT is a global technology leader in providing IT consulting,
software development, end to end solutions, and managed
services to various clients globally.
Location:
Level1, Spacion Tower, Next to Hotel Westin
Hitech city, Hyderabad
India 500 081
www.click4learning.com
About APPIT:
6. Agenda:
u 1. Overview of Big Data
u Big Data Pipe line
u Core Elements of Apache Hadoop
u Apache Hadoop eco system
u Solutions for Big Data Problems with Hadoop
2. Introduction to Hadoop
Hadoop components: Map Reduce,Pig,Hive,Hbase
H Base Architecture
Ingestion of Data to Hadoop
Clustering, Hadoop Administration
Getting Data From Hadoop
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7. Full course
u Cost of the program with full Hadoop and its eco system is 16,000
u Course duration: 40 days
u Timings: 9:00 AM to 10:00 AM weekdays
u Weekend batch: 9:00 AM to 11:00 AM (Saturday & Sundays only)
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8. Introduction to Spark
Introduction to Spark
Load Data Using Spark
Understanding RDD’s
Understanding Data Frames
Building and Monitoring spark applications
Understanding Spark Pipelines
Creating an apache streaming application
Using Apache Spark GraphX
Using Apache spark Mlib
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9. Introduction to Big Data and Hive
u From Sql To Hive Ql
Querying Big Data
Introduction to Hive ,Hive e QL
Using Hive to query hadoop files
Exercises
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10. Introduction TO R
u R Basic Data types
u Atomic vectors and operation them on lists
u R complex data types(matrices ,factors and data frames)
u Unit testing
u Introduction to write R Packages
u Exercises
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11. Use cases
u Introduction to Business examples in representation of use cases,
Analysing,Devloping,Testing use cases
u Taking Business scenarios and experiencing overview of Big data solutions
u Hands on Experience for the exercises
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