Data complexity has dramatically increased over the last several years due the increased number of data sources, new data types, greater locations where the data resides, and increased volumes of data being generated.  Welcome to the era of modern data…not just big data.  Organizations have to wrangle modern data in order to have greater visibility into their operations, customers, markets, and competitors, and to create actionable insights in a timely manner just to stay relevant.

Data storage and process platforms such as Hadoop were created to address modern and big data.  However, traditional data integration tool that extract, transform and then load data hinder the speed of data availability and in many instances, do not work with modern data due to their architecture.  Organizations are demanding greater information agility, insight and value from their investments in big data.  A new and more modern approach to data integration is needed that possesses the following capabilities:

A near zero latency; Time is money.  Inefficient and time consuming data integration processes cause data to lose immediate value.  The window of opportunity is short and successful organization need access to timely, relevant and accurate data to seize the opportunity.

Greater optimization; while moving data from one platform to another, the complete set of transformations that are required must be considered and assigned to the highest and the best performing platform. This allows organizations to optimize performance across their entire data matrix and accelerate the time to value.

Reduce Complexity; as technical environment becomes more complex and hybrid, organizations must have the ability to process data across multiple platforms in a consistent manner, while having the ease of applying the business rule in a unified manner.   Modern data integration must provide simplicity to organizations that are dealing with complex technical environments.

Future Adaptability; change is the only constant thing we know about the future. Having the ability to change, extend and migrate existing business logic and data flow designs into the future is, the most valuable, and required aspect of modernization.   Secondly, modern data integration solutions must be able to respond quickly and efficiently to those changing business needs.

Enhanced Visibility; with the advent of new regulatory and compliance requirements, it is imperative that data integration solutions provide full transparent visibility into the business rules of where the data came from, how the data is flowing, how the data is being processed across multiple platforms, and where the data is being stored.

Diyotta’s Modern Data Integration Suite was designed to capture these capabilities that are incorporated into the five principles of modern data integration.  To learn more, please visit our website: