Big Data Training Course
Master concepts of Big Data and become a Data Scientist
The Big data engineering revolves around the design, deployment, acquiring and maintenance (storage) of a large amount of data. The systems which Big data engineers are required to design and deploy make relevant data available to various consumer-facing and internal applications.While Big Data Analytics revolves around the concept of utilizing the large amounts of data from the systems designed by big data engineers. Big Data analytics involves analyzing trends, patterns and developing various classification, prediction & forecasting systems.
Thus, in brief, Big data analytics involves advanced computations on the data. Whereas big data engineering involves the designing and deployment of systems & setups on top of which computation must be performed.
Lets get started with mastering the concepts of Big Data and pave the way for building your career in the field of Data Science.
--- CLICK HERE TO ENROLL FOR FREE ---
What you'll learn
- Learn all basic concepts of Big Data and Hadoop
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Understand about NoSQL, Spark, HBase
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Master topics on Scalding, Hadoop Infrastructure and Distributed File System
- Get in depth knowledge on MapReduce and Relational Databases
- Know about Big Data Problems, Characteristics and Challenges
Requirements
- An interest to learn Big Data Concepts
Description
The field of big data is quite vast and it can be a
very daunting task for anyone who starts learning big data & its
related technologies. The big data technologies are numerous and it can
be overwhelming to decide from where to begin.This course provides you a
guided path to start your journey to learn big data and will help you
land a job in big data industry. The Big data engineering revolves around the design, deployment, acquiring and maintenance (storage) of a large amount of data. The systems which Big data engineers are required to design and deploy make relevant data available to various consumer-facing and internal applications.While Big Data Analytics revolves around the concept of utilizing the large amounts of data from the systems designed by big data engineers. Big Data analytics involves analyzing trends, patterns and developing various classification, prediction & forecasting systems.
Thus, in brief, Big data analytics involves advanced computations on the data. Whereas big data engineering involves the designing and deployment of systems & setups on top of which computation must be performed.
Lets get started with mastering the concepts of Big Data and pave the way for building your career in the field of Data Science.
--- CLICK HERE TO ENROLL FOR FREE ---






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