Tue Jan 22, 10:00 AM - Sat Jan 26, 6:00 PM

Business Center

Downtown, Austin, TX, TX

Community: 6th Street

Description

Key Features  32 hours of Instructor-Led Training 24 hours of High Quality Elearning 60 hours of industry projects with 3.5 billion data points Hands-on project execution with CloudLab Expert Assistant Premium Support Earn Hadoop 2.7 experience certificate About the

Event Details

Key Features 


32 hours of Instructor-Led Training
24 hours of High Quality Elearning
60 hours of industry projects with 3.5 billion data points
Hands-on project execution with CloudLab
Expert Assistant Premium Support
Earn Hadoop 2.7 experience certificate


About the Course
Trainerkart's Big Data Hadoop Developer/Admin Certification course is designed to prepare you for your next assignment in the world of Big Data. Hadoop is the market leader among Big Data Technologies and it is an important skill for every professional in this field. This big data course also prepares you for the Cloudera CCA175 certification with simulation exams and real-life projetcs on CloudLabs. The Cloudera certification is the most sought after big data certification in the industry. After completing the Trainerkart's Hadoop training you will be exam ready for the Cloudera certification and job-ready for your next Big Data Assignment..
Who needs to attend?
Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals:

Software Developers and Architects
Analytics Professionals
Data Management Professionals
Business Intelligence Professionals
Project Managers
Aspiring Data Scientists
Graduates looking to build a career in Big Data Analytics
Anyone interested in Big Data Analytics

Prerequisite: Knowledge of Java is necessary for this course, so we are providing complimentary access to “Java Essentials for Hadoop” along with the course.
What is this course about?
After completing this course, you will be able to:

Master the concepts of the Hadoop framework and its deployment in a cluster environment
Understand how the Hadoop ecosystem fits in with the data processing lifecycle
Learn to write complex MapReduce programs
Describe how to ingest data using Sqoop and Flume
Explain the process of distributing data using Spark
Learn about Spark SQL, Graphx, MLlib
List the best practices for data storage
Explain how to model structured data as tables with Impala and Hive
How to choose data storage format for your data usage patterns

Why Trainerkart Learning Solution?
Trainerkart Learning Solutions training is the best and value for time & money invested. We stand out

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