Big data isn’t just getting bigger. It’s getting more valuable. As companies work to unlock more value from their data, one of the biggest challenges to address is disconnected data silos. Big companies don’t have one data lake, they have data lakes, ponds and pools.
Business data can span multiple environments, from the public cloud, servers tied to regional operations, databases in desktop environments and even the lowly spreadsheet attachment. It also exists in various copies and versions across the several repositories involved in supporting the business, creating an analytic value chain.
This is a bigger deal than it may sound. If you can’t access all of your company’s data, you can’t synthesize it, you can’t combine data points in meaningful ways. And you won’t get the data-driven insights that inform better business decisions and help you leap ahead of your competitors.
Managing data from independent repositories is increasingly complex, requiring integration and federation across architectures without losing the ability to track the lineage of all these data puzzle pieces.
Why we’re building IBM hybrid data management
That’s why IBM is building a data management platform that frees your data. As data science grows more sophisticated, helping pull value out of ever-growing petabytes of data, it’s critical that you’re giving your analytics organizations the ability to access and manage all of your company’s data.
The IBM hybrid data management strategy is built on two different integration methodologies to manage data complexity. It enables loosely-coupled integration between data silos as well as tight, embedded integration that allows for different workloads on top of a single repository. Through this dual approach, you can simplify data architecture and management and, as a result, can help lower management costs while improving time-to-value. And you can apply analytics wherever data is captured, which can lead to an additional layer of insight-driven value.
We believe a transition towards more agile business and digital applications and microservices architectures benefits from a new programming model that empowers the application to interpret the integrity and relationship amongst data. Thus it offers more flexibility and can leverage data architectures that support higher speed, higher volume ingest and near-real time analysis on incoming and historical data.
The IBM hybrid data management platform aims to make it easier to manage sources where data growth is exploding. Companies need to be smart about how data is stored, managed and made accessible to developers on the front lines of building new digital services and experiences.
The fast track to hybrid data management
If your company is looking to strengthen your data management, you need to join us at Fast Track Your Data – Live from Munich on June 22. Your most valuable data in the world may be behind the firewall. The conference will showcase better ways to manage all of your data for better business results.
IBM and industry leaders demos, breakout sessions and panels will explore the latest best practices and innovative tools that make possible data management at massive scale.
If you can’t make it in person, I hope you’ll join us on the live stream.
And you can always find the latest about IBM hybrid cloud management on our website.