Big data could be a mixture of structured, semi-structured, and unstructured data collected by organizations to be stripped for data information and used in machine learning projects. To students who are all interested in becoming a great big data developer, we have given big data training. So with our real-time projects we can certainly direct you so you can acquire knowledge with your own experience. And please get us with a genuinely good purpose and use it. For any information about our training  centre  in chennai Visit us: https://freeinternshipinchennai.co.in/bigdata-training-in-chennai.php     Admission Office: Door No. 68 & 70, Ground Floor, No.

It is clear that companies now generate plenty of information and, more often, they require knowing not only what's happening within the present, but also what's going to happen within the future. it's precisely during this ecosystem where Big Data takes center stage. because of Big Data we are able to know on what dates customers usually attend our businesses, which products are sold faster, which promotions had better acceptance, the names of the foremost loyal customers to our brands, etc. This is very interesting data to, subsequently, perform all types of action and promotion personalized and exclusive to our most loyal customers. during this way we get greater satisfaction from our customers , since they feel well wrapped by the brand by knowing exactly what they need. In addition, Big Data within the company also allows you to find out on the move , that is, analyze large amounts of information at a good speed to enhance the company's strategy and optimize processes and results.

Data is classified as big if the total size is more than 1 GB/TB/PB/EX. A large organization with a huge amount of data uses Hadoop, Spark software, processed with the help of a large cluster of commodity hardware. Cluster term refers to a group of systems that are connected via LAN and multiple nodes on this cluster helps in performing the jobs. Hadoop, Spark has gained popularity worldwide in managing big data and at present, it has covered nearly 90% market of big data. Categories of BigData: 1) Structured 2) Unstructured 3) Semi-structured   Example of BigData: 1) New York Exchange generates about 1 TB of new trade data per day. 2) Social Media:  Statistics shows that 500+ terabytes of data get ingested into the database of social media site Facebook, every day.