2020 has been year for the ages, with so many domestic and global challenges. But the big data industry has significant inertia moving into 2021. 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. Enjoy!

Daniel D. Gutierrez – Editor-in-Chief & Resident Data Scientist

In-memory Computing

In 2021, accelerated by COVID-19 and stricter regulations, enterprises will continue to drive their data transformation initiatives to thrive in the burgeoning online-digital economy. Extreme speed, cloud agility, and operational analytics will be adopted by enterprises to optimize data-driven operations and to rapidly introduce new services and applications.  Technology solutions based on a cloud-native data fabric, also known as a Digital Integration Hub, will allow organizations to offload and decouple from legacy systems of record and databases to meet their digital and analytical requirements and be able to migrate to the cloud without the need to completely divest from their existing-mission-critical systems. The introduction of In-memory speed and scale for analytics and BI will fuel real-time reporting and visualization of fresh data and enable ML models to utilize more accurate real-time data for on-line services such as loan approvals, fraud analysis and customer 360 capabilities. AIOps will also be a focus and be deployed to automate and streamline complex data and analytics operations, reduce time-to-market and lower costs while minimizing human errors. – Adi Paz – CEO – GigaSpaces