Big Data Development HADOOP Training - Workshop. FEB 12 to (5 days) 9 am to 5 pm HOTEL DUBAI GRAND DUBAI

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1 Big Data Development HADOOP Training - Workshop FEB 12 to (5 days) 9 am to 5 pm HOTEL DUBAI GRAND DUBAI ISIDUS TECH TEAM FZE PO Box 9798 Dubai UAE, training-coordinator@isidusnet M: T

A CORPORATE TRAINING & CONSULTANCY COMPANY http://wwwisidusnet BIG DATA

Program will help the participants to get clear idea on the purpose of Big

completed in consecutive 5 days ), the coverage and pitch of the program can

Course Outline Traditional Databases analysis vs Hadoop Bigdata Manual

HADOOP2X (MRV2) YARN of complete HADOOP FRAMEWORK END TO END OVERVIEW OF

INTRODUCTION TO HADOOP ARCHITECTURE AND HDFS Why did Big Data suddenly become

2 A CORPORATE TRAINING & CONSULTANCY COMPANY BIG DATA Development Training Workshop HADOOP DEVELOPMENT 40 hours Program Overview Program will help the participants to get clear idea on the purpose of Big Data Development with HADOOP the program will be approx 40 hours ( to be completed in consecutive 5 days ), the coverage and pitch of the program can be further discussed with trainer and customized for participants Sample Course Outline Traditional Databases analysis vs Hadoop Bigdata Manual Installation of direct setups of CLOUDERA DISTRIBUTOR with Hadoop1x (MRV1) & HADOOP2X (MRV2) YARN of complete HADOOP FRAMEWORK END TO END OVERVIEW OF HADOOP BIGDATA PROJECT IN REAL USES OF INDUSTRYS MODULE 1 BIG DATA, HADOOP, INTRODUCTION TO HADOOP ARCHITECTURE AND HDFS Why did Big Data suddenly become so prominent Limitations of traditional large scale systems Compare Hadoop architecture with traditional architecture

3 Core components of Hadoop Understanding Hadoop Master-Slave Architecture Understanding HDFS Architecture Learn about NameNode, DataNode, Secondary Node Learn about JobTracker, TaskTracker Anatomy of Read and Write data on HDFS Hadoop deployment Modes - Standalone, Single node, multinode Configuration files in a Hadoop Cluster Important Web URL's for Hadoop Run HDFS and Linux commands Examples & Real Industry Work Experienced Use cases-hands-on MODULE -2 HADOOP 20, YARN, MRV2 Hadoo 10 Limitations MapReduceLimitations (Mr v1 vs Mrv2) HDFS 2: Architecture HDFS 2: HighAvailability HDFS 2: Federation YARN Architecture Classic vs YARN Setting up cluster Examples & Real Industry Work Experienced Use cases-hands-on MODULE 3 UNDERSTANDING HADOOP MAPREDUCE Overview of the MapReduce Framework Use cases of MapReduce

4 MapReduce Architecture Understand the concept of Mappers, Reducers Anatomy of MapReduce Program MapReduce Components - Mapper Class, Reducer Class, Driver code Splits and Blocks Understand Combiner Understanding Input/Output Format MapReduce API and Hadoop Data Types MODULE-4 ADVANCED MAPREDUCE COMBINER PARTITONER MULTIPLE FILES READ Using Writable and Writable comparable Concept of Partitioner,Map Side Join,Distributed Join,Distributed Cache, Reduce Side Join MODULE 5 APACHE HIVE -HIVEQL what is Hive Hive DDL - Create/Show/Drop Database Hive DDL - Create/Show/Drop Tables Hive DML - Load Files into Tables Hive DML - Inserting Data into Tables Hive SQL - Select, Filter, Join, Group By Hive Architecture & Components Hive Data Model and Data Units

5 Difference between Hive and RDBMS Multi-Table Inserts Joins Grouping Sets, Cubes, Rollups Hive SerDeHive UDF Hive UDAF MODULE 6 APACHE PIG PIG vs MapReduce PIG components PIG execution PIG Data types PIG Architecture PIG Latin Relational Operators PIG Latin Join and CoGroup PIG Latin Group and Union Describe, Explain, Illustrate PIG Latin: File Loaders MODULE-7 UNDERSTANDING Apache Sqoop Sqoop - How Sqoop works Import/Export Data Sqoop Architecture MODULE- 8 UNDERSTANDING APACH Flume Flume-How Flume works Import/Export Data

6 Flume Architecture MODULE 9 APACHE HBASE & NOSQL Databases Introduction to NoSQL RDBMS vs NoSQL Analytical (OLAP) When/Why to use HBase HBase Architecture/Storage HBase Features HBase Data Model HBase Families HBase Master HBase vs RDBMS Column Families Access HBase Data HBase API Runtime modes Running HBase INTERDUCTION: APACHE SPARK NOSQL: MONGODB BI: PENTAHO Participants are required to bring their own personal computers Deliverables

Course Handbook designed by trainer Suggested reading list Course Material All participants will be provided course material designed by the trainer comprising power-point slides used for

7 Course Handbook designed by trainer Suggested reading list Course Material All participants will be provided course material designed by the trainer comprising power-point slides used for presentation, case studies, Industry examples and other training material used for the program As hard copies prepared for the workshop Deadlines Confirmation A minimum of 15 days prior to training date with payment details Investment US$ 1650/pax for 5 days program including course material lunch and coffee breaks 10% less for nomination / registration of 3 candidates from same organization Registration Deadline: 15 days before the program date Program is open for pre- registered candidates only Certificate of attendance from authorized training provider Registration / Cancellation Policy 1 Cancellations in the last 10 days will not be entitled to refund(s)however, substitutions are possible 2 Out station candidates are required to make their own arrangements for hotel stay at their own expenses 3 In unforeseen circumstances the program venue is likely to change however we strive to avoid this as far as possible REGISTRATIONS ARE SUBJECT TO RECEIPT OF PAYMENT MINIMUM 10 DAYS BEFORE THE PROGRAM Contact Details Mobile T , training-coordinator@isidusnet ISIDUS TECH TEAM- FZE PO Box: 9798 Dubai, UAE W:

Big Data Development CASSANDRA NoSQL Training - Workshop. November 20 to (5 days) 9 am to 5 pm HOTEL DUBAI GRAND DUBAI

Big Data Development CASSANDRA NoSQL Training - Workshop November 20 to 24 2016 (5 days) 9 am to 5 pm HOTEL DUBAI GRAND DUBAI ISIDUS TECH TEAM FZE PO Box 9798 Dubai UAE, email training-coordinator@isidusnet