Big Data / Hadoop Training in Anywhere in India

DATA ANALYTICS

IIHT INDIA

Big Data / Hadoop

40000 - 45000

5y ago

Course Duration: 1 Month,2 Months

Course Details

Data Analytics |

Hadoop took over the Big data ecosystem by storm in 2012. Enterprises are now looking to leverage the big data environment require Big Data Architect who can design and build large-scale development and deployment of Hadoop applications. Hadoop essentially has become synonymous with Big data ecosystem as it incorporates a multitude of open-source tools that enable highly scalable and distributed computing, creating a huge demand for professionals who have mastered Hadoop.

IIHT's Data Analytics course is designed to give you competitive edge in the ever-evolving IT job market. The intensive 62+ hour training program will provide learners with an in-depth knowledge of the Big Data framework using Hadoop and its ecosystem, and explore various applications and tools to process and analyse large volumes of data. Master one of the most in-demand skills with industry experts and practice working on outcome-oriented, industry grade projects on cloud labs.

Training Outcomes:

Gain in-depth knowledge of Big Data Hadoop and its ecosystem
Master real-time data processing using various tools.
Become expert in working on data and managing data resources.
Apply interactive algorithms and work on data forms.

Key Features:

Comprehensive Big Data Hadoop and Data Analytics training
Industry experts for mentors
Gain access to IIHT Cloud Labs
Work on projects for hands-on experience
Anytime, any device access to user-friendly Learning Management System
Peer learning for intensive engagement
Hands-on practice and assignments for each setup/configuration.
Discussion session on assignments
Doubt Clearing sessions.

Batch Timings:

Weekday Batches (MTWTF)

Batch I : 07.00 AM - 09.00 AM
Batch II : 11.00 AM - 01.00 PM
Batch III : 03.00 PM - 05.00 PM
Batch IV : 07.00 PM - 09.00 PM

Weekend Batches (MTWTF)

Batch I : 08.00 AM - 12.00 PM
Batch II : 02.00PM - 06.00 PM

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