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 and Hadoop Technologies with Hands-on modules. This will add a new set of technologies to your profile, creating more career opportunities for you.Timings: 9:30 AM to 4:30 PM. 6 hours of Practical and only 1 hour of theory.
Electronic Device Requirement: 3GB RAM, 64 bit, Windows7 (or) Mac, 40 GB HOD, Laptop Mandatory.
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
Hadoop Master Slave Architecture
Learn Name Node, DataNode,
Basic Map Reduce API Concepts
Writing Map Reduce Driver, Mappers, and Reducers in Java
Speeding Up Hadoop Development by Using Eclipse
Unit Testing Map Reduce Programs
Word Count example
Weather report use case
What is Hadoop Cluster?
Pseudo Distributed mode
Type of clusters
PIG Architecture and Data types
Shell and Utility components
What is Hive?
Hive DML Load Files and Insert Data
Hive Architecture and 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: Softwares(lifetime) and Hadoop learning material (e-books)
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.'