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Up-skill your team by training them on Big Data Analytics using Hadoop
Understand the A to Z of Big Data and Hadoop Analytics with our comprehensive Hadoop online training program. Using hands-on work examples you will learn to extract real time information with Hadoop MapReduce and the various tools and techniques such as HDFS, Pig, Hive, HBase, Sqoop, Oozie, and Flume.
Here’s what you will learn!
Is this course right for you?
Architects and developers who design Hadoop-based solutions, data analysts, BI analysts, BI Developers, SAS Developers, consultants, Java software engineers and software developers working on Hadoop environments will find this course beneficial.
Why should you learn Big Data Analytics?
Examining large amounts of data called Big Data reveals patterns of trends, associations, and customer preferences and helps organizations take business decisions that will align them with market and customer need and increase profitability. This ultimately leads to business success, which is why Big Data Analytics and Hadoop is among the fastest growing technologies to be adopted by organizations across the world.Hadoop is an architecture that is highly scalable and flexible and has uses in such varied industries as telecommunications, retail, security, manufacturing, banking, media and healthcare. Big Data and Hadoop specialists who can leverage the Hadoop platform to deal with terabyte scale of data, are much sought after.Zeolearn’s workshop not only teaches candidates the theoretical aspects of the subject but also gives hands-on practice on using this technology.
Chicago is on Lake Michigan in Illinois, USA is famous for its bold architecture. It has skyscrapers such as the John Hancock tower, Willis tower and Tribune tower. Chicago is the hub for finance, commerce, industry, technology and telecommunications, and one of the world’s largest economies to the tune of $650 billion in 2016.
About the Course in the City
The exponential growth of information in the form of raw data and ready data available in the internet is leading to semi structured and structured data. In the technology field, relational databases and tools were designed to act upon these data. When the volume of the data goes beyond the processing capacity, it is considered as Big Data. Hadoop is a known and popular technology for analysing this Big Data with tools available. Some organisations that are having Big Data analytics believe that the storage of large data that is structured, Hadoop clusters are very cost effective solutions that can be utilised efficiently. Hadoop is an architecture that is highly scalable. It is used in telecommunications, retail, security, manufacturing, banking, media and healthcare industries. Zeolearn Academy is providing Big Data analytics using Hadoop Training in Chicago. The goal is to provide the participants and students with hands-on experience of analysing Big-Data under Hadoop framework. The nuances of the Big Data and Hadoop Analytics can be learnt with our comprehensive training program which gives a certificate at the end of successful completion of the course.
Big Data analytics using Hadoop Training in Chicago from Zeolearn provides the students with course material. The sessions are interactive, hands on practice along with theoretical class sessions, with relevant demo, case studies, practice sessions, workshops and lectures throughout. At the end of the course, we will have satisfied students who can pursue a career in the course subject.
Big Data analytics Certification in Chicago is offered at a competitive cost from Zeolearn Institute. Aspiring students need to register and enrol for the course.
Here is what you learn
Objective of the course
Is the Big Data Analytics Courses in Chicago right for you?
Architects, developers, data analysts, SAS Developers, Java software engineers working on Hadoop will find this course beneficial.
Prerequisites for the Big data Analytics Training in Chicago
An individual with basic computer knowledge and Windows platform can enroll and gain sufficient knowledge on the subject.