The traditional platforms for data storage and processing are insufficient to accommodate  Big Data. So, now if you are looking to tap the potential of Big Data, you are required to integrate the various data systems. Here, you are not just integrating among the various Big Data tools and technologies but also with the traditional non-Big Data systems.

Big Data systems are also required to be integrated with the other new kind of data sources- may be Streaming data, IoT data, etc. In simpler terms, we can say that Big Data Integration combines the data which is originating from a variety of data POINTS or different sources and formats, and then provides the user with a unified and translated view of the combined data.

There are some obvious challenges in Big Data integration such as syncing across various data sources, uncertainty,  data management, finding insights, selection of proper tools, skills availability, etc. When you aspire for Big Data integration,  attention should also be given on data GOVERNANCE, performance, scalability and security. The Big Data integration should start with the logical integration taking into consideration all the aspects and needs of the business and also the regulatory requirements and then end with the actual PHYSICAL deployment.

Tools:  iWay Big Data Integrator,  Hadoop can also PLAY a very big ROLE in Big Data integration. As Hadoop is an open-source and requires commodity hardware, enterprises can expect a lot of savings with regards to data storage and processing. You can integrate with Hadoop the data systems of various kinds. There are so many open-source tools available such as Flume, Kafka, Sqoop, etc.