Data Management

Back in 1977, Junior Murvin sang about “police and thieves in the street.” Leaving aside the thieves for now, I think we will be seeing a lot more police on our streets in the coming year. And in this day and age, they more than likely will be wearing a body camera and capturing hours and hours of video footage, which will need to be analyzed and stored for a significant amount of time. Just in case.

The requirement will be for very large amounts of highly secure, incorruptible long-term storage. The judiciary will stand for nothing less. And of course because public money is involved, it will have to be economical. – Nik Stanbridge, VP Marketing, Arkivum

Knowing where data comes from – not just what sensor or system, but from within which nation’s borders – will make it easier for governments to enforce national data policies. Multinational corporations moving to the cloud will be caught between competing interests. Increasingly, global companies will move to hybrid cloud deployments with machines in regional data centers that act like a local wisp of a larger cloud service, honoring both the drive for cost reduction and regulatory compliance. – Neil Mendelson, VP, Big Data Advanced Analytics, and Jeff Pollock, VP, Big Data Integration and Governance, Oracle

While companies are already discovering the benefits of a hybrid cloud strategy, such as greater scalability and flexibility, better business continuity, disaster recovery, and capital cost savings, operating across multiple environments also presents challenges. Setting up this migration can be difficult and costly if not implemented properly. Expect to see solutions making this process smoother enter the marketplace. – Roger Levy, VP of Product, MariaDB

The idea of storing all aspects of information and deriving business intelligence is revolutionizing the IT economy. However, with the Big Bang of information, data complexity and scale are stifling this revolution. Salvation can only be found in the simplification and unification of data with one integrated solution for both structured and unstructured data.

In order to achieve this, the way data is stored and presented needs to fundamentally change. Instead of trying to engineer technologies to layer on top of existing database solutions, a new science is needed to bring structured and unstructured data together from the bottom up. And that means doing away with traditional data warehousing (which can’t keep up with the pace or variety of big data anyway) and storing all data in its native, raw state. A new science that makes information singularity (unification with simplification) a true possibility, and makes it possible to collect any kind of data, regardless of form or model, and get exactly what you want out of it, or view it exactly how you want, all in real-time.

Only then will all the big data insights we keep anticipating be possible. – Thomas Hazel, founder and CTO, Deep Information Sciences

NoSQL and graphs concepts are permeating the enterprise landscape, where the schema-on-read, high scalability, and real-world representation of relationships are prized. Google, for example, uses a combination of Big Table and their Knowledge Graph. In 2016, we’ll see NoSQL and graphs take a leading position in the marketplace. – Manish Sood, founder and CEO, Reltio

Businesses are no longer simply experimenting with NoSQL, they are now re-platforming their entire infrastructure around it to support their Web, mobile, and IoT applications. In 2016, we’ll see more enterprises re-platform their data management systems using NoSQL to overcome the limits of their 30-year old legacy relational systems. – Bob Wiederhold, CEO, Couchbase

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