5 Data Integration Technology Trends to Look Forward to in 2018


2018 will be another banner year for the data integration market, which evolved remarkably in 2017 and has the potential to continue doing so. Smart technologies like Artificial Intelligence, Chatbots, Sensors, Machine Learning, Augmented Analytics, etc. will be in the workplace, generating overwhelming amounts of useful data. Enterprises focusing on “internet of value” will require cadence for processing this colossal amount of data. Of course, integration will be the lynchpin for harnessing more value out of this data and navigating tenaciously through complex hybrid IT systems.

Here are the top data integration trends that will be the talk of the integration town in 2018:

Hybrid IT Integration: There is a truism that every company today envisions to become a cloud-first enterprise. Cloud adoption will be on the radar of both new entrants and technology behemoths. Organizations adopting cloud technologies, or modernizing legacy applications will face challenges from technology integration. In such scenarios, hybrid IT integration will hold the answer to modernization. Organizations with over 6000 and 7000 legacy systems can create an intelligent mesh for integrating them with cloud-based platforms and adopting new landscape seamlessly.

Business Process Integration: In the good old days, only employees were generating data. However, smart technologies like sensors, gadgets, machines, etc. involved in different processes are a big source of new, usable data today. The outgrowth of differentiated architectures and underlying data formats prevents organizations from bringing data from partner networks. In 2018, data integration vendors will focus on improving capabilities to integrate processes and allowing them to orchestrate. By connecting individual pieces of technologies and data, vendors can help organizations in setting up a future-ready architecture. With this unique advantage, companies can move technologies at the speed of business and respond faster to changes.

Centralized Data Management Architecture:A centralized data integration platform will become mission-critical for organizations. A unified architecture will be required for combining data warehouses and, data lakes. Integration vendors will focus on incorporating low-latency, cost-efficient features for streaming data. Integration tools will leverage a single storage backend with the advantage of multiple storage systems. Users can avoid data duplication and data consistency by eliminating multiple sources of truth

Master Data Management: How to improve data management and drive down integration cost? This is a million dollar question which baffles application leaders and data scientists. To address these needs, next few clicks,  business users will be able to manage colliding data formats and several policies & protocols associated with them. Business users will get seamless access to accurate data, that will support business decisions in real time.

Secure Data Bridge: New data protection laws like General Data Protection Regulation (GDPR) will push IT security arrangements in an organization to the limits. Data integration vendors will be forced to infuse more security arrangement into the solution they are offering. Functionalities like execution engine for API layering will be on the fly for enabling a secured pathway for data exchange. The secure engine will also break barriers associated with file size and file volume

Organizations should ensure that the integration solution they are purchasing supports end-to-end encrypted environment for secure data interchange with partners..

A next-generation integration tool should factor these trends into its solution framework and help organizations in navigating tenaciously through obstacles. Without these functionalities, your integration solution would not be 2018-ready. I encourage you to stop, think,  and discuss these trends before investing in a data integration technology.