HADOOP HIVE PIG Cassandra HBASE Training

BigDataTraining.IN provide end-to-end Development, Implementation & provide consulting Services for Big data, Hadoop ecosystem and Related Technologies.
Course Outline for architect level : Admin level is also covered in Architect level
What is Big Data & Why Hadoop?
Hadoop Overview & it’s Ecosystem
Hadoop Installation, Configuration, Clusterings
HDFS – Hadoop Distributed File System
Map Reduce Anatomy
Developing Map Reduce Programs
Advanced Map Reduce Concepts
Advanced Map Reduce Algorithms
Advanced Tips & Techniques
Monitoring & Management of Hadoop
Using Hive & Pig ( Advanced )
HBase
NoSQL
Sqoop / Oozie / Zookeeper
Deploying Hadoop on Cloud
Hadoop Best Practices and Use Cases
BigData Analytics Tools
Extensively a practical oriented training

Key Features :
* Practice on production level Cloud Serversn* Primary focus - hands-on sessions* Real time Task Assignment - POC / our Big Data Analytics Platform
Course Completion Certificate + BigData Associate Certificate -Hadoop Training India | BigData Developer / Consultant/ Architect / Admin Training Programs with placements!
The Hadoop Distributed File System is a versatile, resilient, clustered approach to managing files in a big data environment. HDFS is not the final destination for files. Rather, it is a data service that offers a unique set of capabilities needed when data volumes and velocity are high. Because the data is written once and then read many times thereafter, rather than the constant read-writes of other file systems, HDFS is an excellent choice for supporting big data analysis. The service includes a “NameNode” and multiple “data nodes” running on a commodity hardware cluster and provides the highest levels of performance when the entire cluster is in the same physical rack in the data center.Big Data Hadoop Architect Weekend Classroom Training
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