There’s been a lot of talk about big data in the past year. But many companies are still struggling with implementing big data projects and getting useful results from their information.
In this part of our series on 2017 predictions we look at what the experts think will affect the big data landscape in the coming year.
Steve Wilkes, co-founder and CTO at Striim believes we’ll see increasing commoditization, with on-premise data lakes giving way to cloud-based big data storage and analytics utilizing vanilla open-source products like Hadoop and Spark.