Introduction to Big Data and Hadoop Training

Innovians Technologies provides an industrial level training forBig Data and Hadoop, an open source distributed processing framework. Written in Java, Hadoop is a collection of open-source software utilities that facilitate using a network of many computers to solve problems involving Big Data.

Big Data is a large volume of structured, semi-structured and unstructured data, that is processed through various data extraction stages to get useful information and it is also used in machine learning projects for training and testing algorithms.

Being at the centre of growing ecosystem of Big Data technologies, Hadoop is primarily used to support advanced analytics initiatives, including predictive analysis, data mining and machine learning applications.

Areas where Big Data and Hadoop is required

Organizations have noticed that Big Data is emerging as an opportunity and they are getting a lot of benefits by Big Data Analytics. Examining large data sets to uncover all hidden patterns, unknown correlations and exploring market trends and customer preferences have never been as easy as Hadoop has made it. The growing market popularity for Hadoop, organizations have preferred Hadoop over any other such framework. Major online platforms using Hadoop are: Yahoo, Amazon, Facebook, New York Times etc.

Benefits offered by Hadoop

• Hadoop’s distributed file system offers a distributed way to store Big Data
• Prevents data storage wastage as data is stored across DataNodes of specified size
• Solves scaling problem by focusing on horizontal scaling instead of vertical scaling
• Any kind of data structured, semi-structured or unstructured can be stored with HDFS (Hadoop Distributed File System)
• Data insights can be easily developed by write once and read many strategy
• Processing moves to data instead of data moving to processing, overcoming the challenge of slow accessing and processing of Big Data
• Adopting YARN architecture, all the processing activities are performed by allocating resources and scheduling tasks

Who can get benefits from this training?

• Data Scientists
• Database Architects
• Database Administrators
• Software Professionals
• Data Analyzers
• Data Scientists
• Database Architects
• DevOps Engineers
• Linux / Unix Administrators
• Infrastructure Administrators
• Senior IT professionals
• Business Intelligence Professionals
• System Administrators
• Project Managers
• Windows Administrators
• Analytics Professionals
• Testing and Mainframe professionals
• Anyone who wants to build the carrier in the Distributed World of Big Data