Experts Talk Transforming Data Analytics with Cloud

From data lakes and data warehouses to hybrid and multicloud environments, the world of analytics continues to evolve to meet growing demands for fast, easy, and wide-ranging data access.

In a recent survey of DBTA subscribers, 20% indicated plans to move their analytics to the cloud with another 27% considering this idea.

At the same time, concerns about security, governance and performance linger, and there are other success factors to consider, including the strengths and weaknesses of different cloud providers and integration scenarios.

DBTA recently held a webinar with Clive Bearman, director content, product and marketing strategy, Qlik; Donnie McMillan, presales expert, SAP; and Mike Pickett, VP and GM of growth, MemSQL, who discussed insights and practical advice about embarking on the cloud journey.

Bearman opened up the discussion with his three top tips for taking data analytics to the cloud. Tip one is to architect for change. By doing this, organizations are supporting data in motion when it moves from one place to the next within its lifecycle.

Tip two includes automating whenever possible. Bearman said because manual coding takes too much time, businesses need to leverage or build tools to automate these tasks.

His last tip is leveraging the data catalogue. By using this “underrated technology,” he said, businesses can govern, discover, and better trust the data and where it’s coming from.

Digital access to data is exploding, Pickett said, and backend infrastructure is struggling to keep up. MemSQL offers a NewSQL database that’s purpose-built to support operational insight and execution. The platform is built for fast data ingest, high demand and dynamic inquiries, and provides the SingleStore database, which supports all data types, shapes, and sizes in operational environments.

McMillian recommended using simple math to plan a data strategy. The data value formula combines the span of data (data from anywhere), the amount of data (data of any size), the quality of data (data of any kind) and data usage (data for anyone) to figure out the total value of the data to the enterprise.

Data and analytics in SAP’s business technology platform can offer the solution for leveraging data in and out of the cloud, according to McMilian.

SAP Data Warehouse Cloud is fast, elastic, end-to-end, and collaborative, he said. The power of SAP HANA and in-memory technology allows for the fastest analytical and database experience without frontloaded costs.

An archived on-demand replay of this webinar is available here.