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Big data describes a large volume of structured, semi-structured or unstructured data. Big data addresses the problem of storing and retrieving such large data. It has the potential to be mined for information and used in Machine Learning. Big data deals with volume and variety of data and the velocity it has to be processed.
Big data stores volume of data collected from many sources like databases, data warehouses, document files, server logs. Hadoop distributed file system (HDFS) is the primary data storage system and employs a NameNode and DataNode architecture to implement a distributed file system. This provides high-performance access to data across highly scalable Hadoop clusters.
In many scenarios, big data are updated on a real-time or near real-time basis. Companies use data accumulated over the years in their systems, to increase efficiency, reduce cost, prediction model, increase customer service, etc. Big data is also used in the medical research field to identify disease risk, the pattern of disease outburst. Companies are looking for ways to store and process big data in an effective way.
With the popularity of Machine learning on the rise, Implementing Hadoop Big data is the current thing in the industry.
What you will gain from this course?
By completing the Big Data course in DataWTech, you will be :
- Understanding Hadoop framework
- Installation of Hadoop clusters
- Setup Hadoop Distributed file system.
- Implementing MapReduce
- Set up Hadoop server in AWS Server
Who should attend the IoT course?
DataWTech’s Big Data course is designed to suit all participants with or without development experience.
- People who want to start their career in Big data /Cloud programming.
- People who are Network Administrator
- People who want to become System Administrator
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