Big data refers to the large and complex set of data that are difficult to process using traditional processing systems. Stock exchanges like NYSE and BSE generate Terabytes of data every day. Social media sites like Facebook generates data that are approximately 500 times bigger than stock exchanges.
Hadoop is an open source project by Apache used for storage and processing of large volume of unstructured data in a distributed environment. Hadoop can scale up from a single server to thousands of servers.
Hadoop framework is used by large giants like Amazon, IBM, New York Times, Google, Facebook, Yahoo and the list is growing every day. Due to the larger investments companies make for Big Data the need for Hadoop Developers and Data Scientists who can analyze the data increases day by day.
Big Data Analytics Training Syllabus
Big Data Analytics introduction
- Big Data overview
- What is a data scientist?
- What are the roles of a data scientist?
- Big Data Analytics in industry
Data analytics lifecycle
- Data Discovery
- Data Preparation
- Data Model Planning
- Data Model Building
- Data Insights
Data Analytic Methods Using R
- Introduction to R
- Analyzing and Exploring the Data
- Model Building and Evaluation
- Machine learning-Theory and Methods
- Introduction to analytics for unstructured data-MapReduce and Hadoop
- Sample analytics project
- Creating final deliverables
Besant technology learns how to use Big Data Analytics from beginner level to advanced techniques which are taught by experienced working professionals. With our Big Data Analytics Training in Chennai, you’ll learn concepts in expert level with practical manner.
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