Big Data

Data management and Kubernetes come together in IBM Cloud Private for Data

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Data management Kubernetes ICP for DataIn addition to the short-term benefits of IBM Cloud Private for Data — a data management platform built on Kubernetes with support for Db2, MongoDB and Postgres databases — General Manager for IBM Analytics pointed to the long-term effects in an article at Container Journal this week.

As IT organizations continue to take advantage of platforms such as IBM Data Catalog to provide a layer of governance on top of their data, it will be only a matter of time before DataOps becomes more tightly coupled with DevOps to reduce the amount of friction associated with building and maintaining pipelines within applications. As that process occurs, Thomas notes there inevitably will be a corresponding increase in the willingness organizations will have to build and test new applications that leverage their data assets.

As it becomes easier to deploy databases and other data tools on data platforms, data management will become more federated, Thomas said, making it more convenient for developers to centrally manage data while bringing application code to where that data resides.

IBM Cloud Private takes in and analyzes data through an event-driven architecture that uses the Apache Parquet Data Format and the Apache Spark in-memory computing framework. It also includes tools and services such as IBM Data Science Experience, Information Analyzer, Information Governance Catalogue, Data Stage, Db2 relational databases and Db2 Warehouse.

For more, check out the full article at Container Journal.

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