How Data Management Trends Help With Solution Integration

By CIOReview | Tuesday, September 24, 2019

Companies are shifting their focus to data and solution integration, leveraging options, such as the Actian Data Connect IPaaS solution, and advanced metadata and catalog techniques to make enterprise data more integrated and more accessible to users.

FREMONT, CA: 2019 is known to be an exciting year for the data management community. Many predicted trends from the past few years have successfully made the transition from emerging concepts to the mainstream solution approaches. Several enterprises are providing insights into future capabilities to integrate the individual pieces into more holistic and incorporated solutions.

The cloud is gaining attention for new IT systems

Enterprises are shifting their interest to the cloud since it enables improved performance and achieves solution scalability. At present, new innovations are emerging in the cloud migration trend where most of the firms look upon cloud solutions first for the IT system consider only on-premise solutions if the cloud is not feasible for some reason. This comprises both ready-to-use solutions as well as cloud-based infrastructure (IaaS and PaaS) for different needs, like data warehouses and in-house developed application. One of the latest cloud solution trends is the integration-platform-as-a-services (IPaaS), is a set of cloud-based capabilities for integrating both the cloud-native and on-premise components for easy interoperability.

Data warehouse to loud

For the past years, Hadoop was considered as a big trend in data warehousing. Many enterprises have implemented Hadoop on-premise and are now witnessing an increased operational cost as well as challenges for integrating with the cloud-native solutions. It is seen that many companies are migrating data to the cloud for better operations at a lower cost, along with greater performance and scalability. As the enterprises are examining this migration, their integration strategies and capabilities evaluate how to implement and bring more SaaS data source and streaming data from IoT systems to the data warehouse for analysis.

The data catalog and metadata to drive consumption

One of the largest pieces of feedback from data users (both data professionals and business consumers) is that the enterprises know that the data they seek exists, but as the data increases, it becomes very difficult to look and find the data. This drives an increased investment in data catalogs and metadata that enables not only the traditional content tagging but also includes data quality, age, and trustworthiness scores. The catalog and metadata collected are used to drive search capabilities, and AI enables these capabilities for data correlation and advanced analysis.