Big Data Hadoop
Hadoop Overview+ HDFS and YARN+ Hadoop MapReduce Framework + Advanced MapReduce+ Pig+ Hive+ Hive and HBase + Advanced HBase+ Apache Sqoop +
Apache Fume + Introduction to Machine Learning (Mahout) + Hadoop and Mahout + Introduction to Apache Spark + Introduction to Apache Kafka
$466.00 Add to cart
$466.00 Add to cart
Big Data Hadoop is the detailed course offered by the Gontu Series is designed to help the developers work effectively and also prepare them to face the interviews with confidence.
For detailed course structure please click on Detailed curriculum tab.
Duration: 45 days ( 55 hours Live Classes )
Project Work: 20 hours (extensive)
Certification: After the successful completion of the course, assignments and projects submission Certification for the same is provided..
We are available 24×7 @ +91-124-4219800 to answer all your queries related to this Live course – Happy Learning!!!
Introduction to Big Data and Hadoop
HDFS and YARN
Hadoop 2.x Cluster Architecture – Federation and High Availability, A Typical Production Hadoop Cluster, Hadoop Cluster Modes, Common Hadoop Shell Commands, Hadoop 2.x Configuration Files, Single node cluster and Multi node cluster set up Hadoop Administration
Hadoop MapReduce Framework
MapReduce Use Cases, Traditional way Vs MapReduce way, Why MapReduce, Hadoop 2.x MapReduce Architecture, Hadoop 2.x MapReduce Components, YARN MR Application Execution Flow, YARN Workflow, Anatomy of MapReduce Program, Demo on MapReduce. Input Splits, Relation between Input Splits and HDFS Blocks, MapReduce: Combiner & Partitioner, Demo on de-identifying Health Care Data set, Demo on Weather Data set
Counters, Distributed Cache, MRunit, Reduce Join, Custom Input Format, Sequence Input Format, Xml file Parsing using MapReduce
Introduction to Apache PIG, Introduction to PIG Data Flow Engine, MapReduce vs. PIG in detail, When should PIG use, Data Types in PIG, Basic PIG programming, Modes of Execution in PIG, Execution Mechanisms, Operators/Transformations in PIG, PIG UDF’s with Program, Word Count Example in PIG, The difference between the MapReduce and PIG
Introduction to HIVE, HIVE Meta Store, HIVE Architecture, Tables in HIVE, Hive Data Types, Partition, Joins in HIVE, HIVE UDF’s and UADF’s with Programs, interacting with Hive and Impala
Hive and HBase
Hive QL: Joining Tables, Dynamic Partitioning, Custom Map/Reduce Scripts, Hive Indexes and views Hive query optimizers, Hive : Thrift Server, User Defined Functions, HBase: Introduction to NoSQL Databases and HBase, HBase v/s RDBMS, HBase Components, HBase Architecture, Run Modes & Configuration, HBase Cluster Deployment
HBase Data Model, HBase Shell, HBase Client API, Data Loading Techniques, ZooKeeper Data Model, Zookeeper Service, Zookeeper, Demos on Bulk Loading, Getting and Inserting Data, Filters in HBase
Introduction to Apache Spark:
Introduction to Apache Kafka:
Introduction to Machine Learning (Mahout+MLIB)
Morning Batch: Mon to Fri | 7 am to 9 am IST | starting on 13th July 2017
Evening Batch: Mon to Fri | 9 pm to 11 pm IST | starting on 13th July 2017
Weekend Batch: Sat, Sun | 7 am to 10 am IST | starting on 13th July 2017
Gontu trust: If not satisfied;get your money back!!!
Gontu Promise: If not happy with the course ..all the refunds done!!!
Who are the Instructors??? The course is designed and will be taught and assisted by Ankush Gorav and a panel of experts having 5 to 10 years of industry experience
Is the panel available 24×7 to guide me??? Yes