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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.
Big Data Analytics Using Hadoop
What is Big Data Analytics Using Hadoop?
Analysing Data which is very large and complex is known as Big Data Analytics. Traditional models of software are inadequate when it comes to this hence faster and more efficient tools are begin used today. Big Data Analytics Using Hadoop Training in Montreal will help data analysts to learn how to extract information using Hadoop.
Creating, cataloguing, storing and analysing high velocity, complex data can result in generating predictive analysis, user behaviour. Examining data sets useful for an organization leads to better understanding of customers, sharper strategy and increased profitability of the company.
Data Scientists prefer Hadoop MapReduce for its efficient and sharp analysis of data sets and capacity to process large volumes of data and work with any programming language. This will enable cost effectiveness, flexibility for companies. Performing data analytics using Pig, Hive, Sqoop are one of the components of learning on Big Data Analytics Certification in Montreal
The Zoolearn Edge
Customers today share vast amounts of data rapidly thanks to the Internet of Things and smart devices that are used to communicate. Organizations in a Hadoop environment are always on the look-out for professionals who are experts in Data Analytics are always sought after. From the introduction of Big Data to the challenges that accompany it, Hadoop Architecture, MapReduce Programming to analysis are covered in Big Data Analytics Courses in Montreal
The complete boot-camp course packs the A-Z of Big Data, understand best practices by theoretical and practical modules in the 30 hour sessions led by industry experts to make it more interactive. 12 modules are covered in total and it will fast track the career of data analysts in the world of technology. Knowledge of Windows platform is required, whereas basic understanding of programming languages is helpful.
Many organisations in various industries such as telecommunications, retail, security, manufacturing will require experts who have trained in the course of Big Data Analytics Training in Montreal as they will be able to understand and reveal patterns, associations and customer preferences thereby helping the organisations to increase profitability while reducing costs.