Business happens in real time, but technology constraints of the past have created batch-based business processes. The time is now for real-time data provided to digital applications by modern composite data services that leverage long-standing systems of record.
According to 2021 IDC DataOps survey; 95% of respondents have data pipelines running across hybrid-cloud environments. These pipelines are handling up to 10 different types of data (relational, analytical, structured, unstructured, and so on), coming from or going to up to nine different data management technologies, including mainframes, relational databases, streaming, NoSQL, and cloud-native data warehouses. Managing this data diversity can also result in data latency issues between systems of record and reference, impacting relevancy of data-driven business operations.
In this paper you will learn about composite data services, and how it:
- Unifies data across multiple disparate databases, providing controlled read-write, update and delete access via open APIs.
- Leverage the advances of in-memory data management technologies, combined with event-driven capabilities to replicate and maintain systems of record data in a low latency and high-performance data store.
- Decouples digital applications from systems of record, and decoupling digital applications from each other, is accelerating agile DevOps methods in creation of new microservices.
- Enables businesses accelerate innovation because the time to market for new digital applications is faster, and it is enabling digital resiliency – the ability for a business to quickly respond to and capitalize on changing conditions.
This paper was written by:
Stewart Bond is Research Director of IDC’s Data Integration and Intelligence Software service. Mr. Bond's core research coverage includes watching emerging trends that are shaping and changing data movement, ingestion, transformation, mastering, cleansing and consumption in the era of digital transformation.