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28Jan
Big Data and Hadoop Developer Online Training in Greater New York City Area
9:00 AM - 11:59 PM Business Hotel/Regus
Date: January 28, 2020 to January 28, 2020
Where: Business Hotel/Regus, New York, New York, United States
Phone: N/A
Event Type: Business
Ticket Price: N/A
Key Features  32 hours of Online training 60 days of E-learning  5 real-life industry projects in banking, telecom, insurance, and e-commerce domains 40 hours of Hands-on practice with CloudLabs 60 hours of project work Includes training on Yarn, MapReduce, Pig, Hive, Impala, HBase, and Apache Spark Exams fee included You will get Global Tec's Hadoop certification at the end of the course About the Course Global Tec's Big Data Hadoop Developer 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 Global Tec'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
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