In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives. Even if only half actually come true, Big Data in the next year is destined to be quite an exciting ride. Multi-Cloud Analytics. There are many reasons why a customer would choose to implement their architecture on multiple clouds whether it’s technology, market, or business-driven. When this happens, many times this leads to transactional and operational data being stored on multiple cloud platforms. The challenge this brings is how to gain insight into these without resorting to implementing multiple disparate data platforms. Historically data virtualization tools have been introduced to solve this style of problem, but it gets challenging when working across cloud environments. We are seeing increased emphasis from vendors on this message (Google’s BigQuery Omni is one example) and expect customer adoption to pick up in order to quickly unlock value across data platforms without having to perform migrations. – Brian Suk, Associate CTO at SADA