Dremio CEO Identifies Top Big Data & Analytics Predictions for 2020

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A new press release reports, “Innovations in the cloud and the rise of more efficient ways to collect, access, and analyze big data, have rapidly improved the amount of value enterprises are getting from their data. In 2020, enterprises will evolve in how they approach data maturity and strategize cloud investments. According to Tomer Shiran, co-founder and CEO of Dremio, the new year will bring compelling reasons to focus on modern cloud data lakes; increased efficiency of cloud services to remarkably reduce cloud computing costs; easier ways to make IoT data a valuable business asset; and open source innovations to accelerate analytics results. The following five major trends guide his predictions for 2020.”

A new press release reports, “Innovations in the cloud and the rise of more efficient ways to collect, access, and analyze big data, have rapidly improved the amount of value enterprises are getting from their data. In 2020, enterprises will evolve in how they approach data maturity and strategize cloud investments. According to Tomer Shiran, co-founder and CEO of Dremio, the new year will bring compelling reasons to focus on modern cloud data lakes; increased efficiency of cloud services to remarkably reduce cloud computing costs; easier ways to make IoT data a valuable business asset; and open source innovations to accelerate analytics results. The following five major trends guide his predictions for 2020.”

The predictions include: “(1) Cloud data warehouses turn out to be a big data detour. Given the tremendous cost and complexity associated with traditional on-premise data warehouses, it wasn’t surprising that a new generation of cloud-native enterprise data warehouse emerged. But savvy enterprises have figured out that cloud data warehouses are just a better implementation of a legacy architecture, and so they’re avoiding the detour and moving directly to a next-generation architecture built around cloud data lakes. In this new architecture data doesn’t get moved or copied, there is no data warehouse and no associated ETL, cubes, or other workarounds. We predict 75 percent of the global 2000 will be in production or in pilot with a cloud data lake in 2020, using multiple best-of breed engines for different use cases across data science, data pipelines, BI, and interactive/ad-hoc analysis.”

Read more at Business Wire.

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