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

Are you confused to choose which domain for your career path? Then, you can decide your career path by attending this workshop. This workshop helps to aware of Big Data and other trending technologies in the market. The main agenda of this workshop is to decide to choose Big data domain or other technologies according to your skill set.

Are you interested to learn or learning Big Data Hadoop course?

Hands on experience on big data Hadoop will also make you understand the theoritical concepts even better.

Attend the workshop and gain extensive knowledge on Big Data Hadoop which can enhance your career. Then, decide your valuable professional career!!

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: 3GB 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.