Bigdata Training
Course Duration
Offline / Online Training & Projects & Practical Sessions
Eligibility
Graduates or Diploma Holders
Course Fee
GST will be charged at checkout Flexible Payment Options Available
Big Data Analytics
It is the use of advanced analytic techniques against very large, diverse big data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes.
Course Content
1. Overview of Big Data
This includes topics such as history of big data, its elements, career related knowledge, advantages, disadvantages and similar topics.
2. Technologies for Handling Big Data
Big Data is primarily characterized by Hadoop. This module cover topics such as Introduction to Hadoop, functioning of Hadoop, Cloud computing (features, advantages, applications) etc
3. Understanding Hadoop Ecosystem
This includes learning about Hadoop and its ecosystem which includes HDFS, MapReduce, YARN, HBase, Hive, Pig, Sqoop, Zookeeper, Flume, Oozie etc.
4. Dig Deep to understand the fundamental of MapReduce and HBase
This module should cover the entire framework of MapReduce and uses of mapreduce.
5. Testing and Debugging Map Reduce Applications
After the applications are developed, the next step is to test and debug it. This modules imparts this knowledge.
6. Exploring Hive
This modules introduces you with all the necessary knowledge of Hive.
7. Exploring Pig
This modules introduces you with all the necessary knowledge of PIG.
8. Exploring Oozie
This modules introduces you with all the necessary knowledge of Oozie.
9. Introduction to Stream Analytics
This modules introduces you with incapability of hadoop in stream analytics and introduces Spark and Kafka
10. Exploring Spark In Detail
This modules introduces you with all the necessary knowledge of Spark.
11. Exploring Kafka
This modules introduces you with all the necessary knowledge of Kafka.
12. Learn NoSQL Data Management
This modules covers all about NoSQL including document databases, relationships, graph databases, schema less databases, CAP Theorem etc.
13. Learn Cassandra
This modules covers the working and data modeling of Apache Cassandra
Athulkrishna Prakash
Software Developer [ MEARN ] | Tamchery Solutions
Mohammad Anees A A
Technical Specialist | Cyber Park
V S Sreedevi
Python Developer | Infotura Solutions
Dhaneesh v jayakumaran
Software Developer | Mdigitz Soft Solutions
ABDUL LATHEEF M M
Software Tester | Growtech Software Private Limited
Sreelakshmi S
Software Tester | KOKONET Technologies
Ardra Sasidharan
Junior Developer | Nav Technologies
Snehapriya ES
Software Testers | KOKONET Technologies
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