1) Key-Value Storage: Stores the dataset in key and value format consisting of big hash table of keys and values.
Ex: Amazon DynamoDB
2) Column Based Store: In this case, each storage block contains data from only one column.
Ex: Cassandra, HBase
3) Document-Based Storage: It stores up a document where data made of tag elements.
Ex: MongoDB, CouchDB
4) Graph-Based Storage: In this case, a network database uses edges and nodes to represent and store the data.
Big Data has taken a high momentum in the last two years.
And when we talk about big data, Hadoop is the ultimate term that comes to mind.
No other big data processing tool has gained such market popularity as this open-source tool from Apache.
However, Hadoop is a growing field with continuous up-gradation and added features as well as members of its ecosystem.You can go for iClass Gyansetu’s Big Data Course in Gurgaon who are willing to pursue a career in this field.
It will immensely help you in getting started as well as getting ready for a job after successfully completing the course.
Start building your career as - Hadoop developer, Hadoop Architect, Hadoop tester, and Hadoop administrator.
