Another year is right around the corner and improved technology is rising to greet the prospect of a new day to become the next big thing. Experts at SAP are weighing in on what 2018 may bring.
Kristin McMahon, senior director of EIM product marketing at SAP, is predicting data will continue to increase. Data management and adhering to new guidelines will be top of mind for most enterprises.
“With data volume growing exponentially and the onset of GDPR on the horizon, data management will be up-leveled to the c-suite in the form of a Chief Data Officer throughout the coming year,” McMahon said. “This role will include data strategy, data management process implementation and oversight, monetization, ethics policies, and many other intricate details as the data landscape evolves.”
Ken Tsai, GVP, head of database and data management product marketing at SAP, is predicting translytical databases will quickly become one of the fastest new areas emerging in 2018.
“A Forrester Wave Report recently listed SAP as a leader in its Translytical Data Platform where, in this case, the capability is having a single operational database for data management and operational data management that can combine transactional and analytics workloads,” Tsai said. “These capabilities will be critical across multiple industries as enterprise architecture professionals add platforms into their environments that deliver real-time insights to the business. Watch for this new category to become a standard requirement for businesses. They will be found in stock trading, fraud detection, counterterrorism, patient health monitoring, machine analysis, earthquake monitoring, and more. “
Additionally, he believes Databas-as-a-Service will grow faster than ever before next year. While still at the early stages of adoption at 5% of the overall database market in 2016, industry experts and analysts project DBaaS to grow at 36% CAGR to represent at least 14% of the overall DBMS market by 2020, according to Tsai.
“The trend also reflects the steady shift of enterprise workloads from simple test and development, to much more sophisticated and mission critical applications,” Tsai said “Database-as-a-Service (DBaaS) will continue to expand beyond multi-cloud support into on-premise private clouds, to enable new types of value-added data processing scenarios that previously weren’t available – this database platform as a service (DBpaaS) model will follow a utility-driven, serverless architecture in the cloud.”
Siloed, purpose built databases and data management capabilities will need to converge even within the cloud environment, as it remains rather complex today, he explained. There are business application and process scenarios that will be much better served when the data we need to access is already separated between on-premise and cloud.