As our world moves toward an increasingly data-driven reality, we believe it is critical that we service this data ecosystem as a whole. In the field, data science and data engineering go hand-in-hand. Data engineering lays the foundational infrastructure for data science while data science generates innovation that makes the whole thing worthwhile. To better reflect this, we started the International Data Engineering and Science Association or IDEAS for short.

Mission:
We bridge the gap between academia and the industry. We build a data engineering and science hub by providing robust resources and connecting real-world expertise together from business leaders, professionals, and promising students. Our vision is to foster the data engineering and data science ecosystems and broaden the adoption of their underlying technologies, thus accelerating the innovations data can bring to society. We empower and nurture community growth by offering online resources, conferences, latest industry trends and data related job opportunities.

Source: Website

The Association of Data Scientists (ADaSci) is a global professional body that focuses on advancing the field of data science and machine learning. It serves as a hub for professionals to connect, share knowledge, and develop their skills. ADaSci also works to promote ethical practices, standardization, and the overall advancement of data science and machine learning.

The Technical Community on Data Engineering (TCDE) of the IEEE Computer Society is concerned with the role of data in the design, development, management and utilization of information systems. Issues of interest include data management systems and modern hardware/software platforms; data models, data Integration, semantics and data quality; spatial, temporal, graph, scientific, statistical and multimedia databases; data mining, data warehousing, and OLAP; big data, streams and clouds; information management, distribution, mobility, and the WWW; data security, privacy and trust; and performance, experiments, and analysis of data systems. The TCDE sponsors the International Conference on Data Engineering (ICDE). It publishes a quarterly newsletter, the Data Engineering Bulletin. It is involved with other conferences, symposia, and workshops.

Source: Website

• Focus: Principles, techniques, and applications of database management systems and data management technology.
• Members: Includes software developers, academic and industrial researchers, practitioners, users, and students interested in research, development, and deployment of solutions to large-scale data management problems.
• Activities: Sponsors the annual SIGMOD/PODS conference, considered a premier event in the field, and offers various member benefits like discounted conference fees and access to research publications. 

Source: Gemini AI Overview