Startup your career with Big Data Hadoop (Hands-on day workshop)

6 hours of session

This One-day, hands-on workshop will help you learn Big data & Hadoop Technologies with Hands-on modules. This will add a new set of technologies to your profile, creating more career opportunities for you.

Electronic Device Requirement: 2GB RAM, 64 bit, Windows7 (or) Mac 40 GB HOD, Laptop Mandatory.

Topics:

What is Big Data and where it is produced?

• Rise of Big Data
• Compare Hadoop vs traditional systems
• Limitations and Solutions of existing Data Analytics Architecture
• Attributes of Big Data
• Types of data
• Other technologies vs Big Data
• What is Hadoop?
• Hadoop History and Creation
• Hadoop 1.x vs Hadoop 2.x Architecture
• Distributing Processing System
• Core Components of Hadoop
• HDFS Architecture
• Hadoop Master – Slave Architecture
• Daemon types
• Learn NameNode, DataNode,
• Secondary NameNode
• Basic MapReduce API Concepts
• Writing MapReduce Driver, Mappers, and Reducers in Java
• Speeding Up Hadoop Development by Using Eclipse
• Unit Testing MapReduce Programs
• Word Count example
• Weather report use case
• What is Hadoop Cluster?
• Pseudo Distributed mode
• Type of clusters
• Hadoop Ecosystem
• PIG Architecture & Data types
• Shell and Utility components
• What is Hive?
• Hive DML – Load Files & Insert Data
• Hive Architecture & Components
• Difference between Hive and RDBMS

Who should attend: IT Professionals / Software Developers / Q&A Professionals / Team / Tech Leads / Project Managers / Decision Makers and Students who like to explore this technology.

Takeaways: A certificate and Hadoop learning material (e-books)

Please Note:

It is strongly recommended that you bring a Wi-Fi-enabled laptop (with windows OS) for a more hands-on experience.
Please follow Google Maps to avoid confusion in locating address.
Reach the venue 30 minutes prior to start time as there are many topics to cover.