Webinar Title: The Future of Data Management
Presenter: Mark Beyer – Distinguished VP Analyst – Gartner
The Webinar was starting by statement that the old boundaries between cloud, ground, and edge disappeared. After that, the speaker started with the first point which was about Architecture Shifts. The current Infrastructure is already diverse but which of those technologies is most used in the organizations?. Based on Gartner field study, Data & Analytics Adoption Trends 2018, Cloud-Based Object Storage technology came at the top of the list and Data Warehouses in second and Hadoop Distributions at the end of the list. Also, it’s noticeable that the regular DBMS came on the sixth place on the list with clearly reflect the interest of the most of organizations to moving to big data platforms. Also, This study shows that most of organization are became cloud oriented. Also, the speaker highlighted moving the data management and integration form specified to dynamic, accordingly, the future data management moving from collect (like collect data in static scheme) to connect (develop more smart metadata and more aware of how data organized). The important point to consider when planing architecture shifting to a new is how to adopt data management system strategy to the organization strategy by choosing the right data and analysis infrastructure model from traditional transactions, traditional data warehouse, data in motion, data lake and machine learning. To chose from those models we should answer to main questions, is the data known or unknown and the questions to be answered by those data is known or unknown.
As per the speaker by 2012 6% (and this number is goes to treble as of 2018) of use cases in very large global enterprises are using real time data which is one time of data in motion. Data in Motion is basically listening to a stream of events to trigger some real time process to take an immediate action actions. One the same time, those processed events are stored in somewhere like data warehouse or data lake for later offline analytics. That present one of decentralized form of data governance where the data is processed at the edge, but we still need a centralized data governance by storing them at a centralized location like data warehouse to keep maintaining the knowledge base.
The Second point that speaker highlight is the Technology Change, as per Gartner studies, by 2023, 75% of all databases will be on a cloud platform, reducing the DBMS vendor landscape and increasing complexity for data governance and integration. That fact effected the market share of Data Management vendors. According to Gartner studies Market Share: Enterprise Infrastructure Software, Worldwide, 2017, the vendors that missed the cloud lost around 12.46% of the market share in the last 6 years.
Form the data quality prospective, we have to answer two important questions, 1) Is the data match the design?, 2) Is the design match the business process?
My Feedback on the webinar
Quality of the presentation
The information and data was very well presented and supported by a real statistics and surveys from the market. The ideas was presented in seamless flow.
Qualification of the presenters
The presenter Mr. Mark Beyer has 15 years of experience in Gartner and 30 years industry experience. He worked as a led implementation practices and projects for data integration, business intelligence and data management architectures.
CIOs, CTOs, IT Managers and researchers
- Webinar: The Future of Data Management, Gartner, 2019 https://www.gartner.com/en/webinars/26581/the-future-of-data-management
- Data & Analytics Adoption Trends 2018, Gartner
- Market Share: Enterprise Infrastructure Software, Worldwide, 2017, Gartner