In Big Data integration we are required to integrate the various data sources and systems. The policies regarding data collection, extraction, storage as well processing are bound to change. The various data points have different formats, architectures, tools and technologies, protocols of data transfer, etc. So DECIDING to capture and USE Big Data for your business will involve integrating these various data points,

making some changes to the formats, usage, securities, etc. It will have some impact on an overall day to day operation of the business.

There are several issues in Big Data integration that needs to be addressed before going ahead with the process of integration. Some of the issues are:

1. Consolidation of different verticals
2. Change in business practices
3. Change in culture
4. Initial capital investment
5. Change in operations etc.

Likely, many businesses have already deployed their IT INFRASTRUCTURES depending on their requirements. So when deciding to have Big Data integration in place, businesses are required to rethink their IT strategies and make the necessary provisions for capital investments.

So INITIALLY while planning for Big Data adoption, there we see a  reluctance in the organization as it requires drastic changes at various levels.

In many enterprises, traditionally, the data is stored in silos. The integration of these different data silos is not an easy task as they have different structures and formats.

So, when we are planning for the Big Data integration, the focus should be on long term requirements of the overall Big Data infrastructure and not just the present integration needs.