Next Generation Data Management: Database design, part 2
Dr. Mark Brady Overview:
The advent of NoSQL databases actually precedes relational databases. Their recent resurgence has been accompanied by a tsunami of misinformation online and in print. As a result, many practitioners have had to live with errors and lower analytical power, or they needed to start over with their development.
This webinar will explain the reality behind NoSQL databases, how to design them, and how to select the best one for your application.
We also cover techniques for making your databases faster and more reliable.
Why you should Attend:
This webinar is for those who want to become database design experts. Participants will learn how to design or redesign NoSQL databases, ACID, and indexing for speed. All material will be in plain English with terms defined as we go, so any participant with analytic aptitude will excel.
Areas Covered in the Session:
- NoSQL myths regarding flexibility, schema-less-ness, and query languages
- Key value database
- Graph database
- Column store database
- Column family store database
- Document database
- Most database types are logically equivalent
- ACID
- Indexing for speed
Who Will Benefit:
- Data scientists
- Programmers
- Data Systems Engineers
- Database Administrators
- Data Managers
Speaker Profile
Dr. Mark Brady is the former Chief Data Officer of the US Space Force, Chief Data Officer of the Air Force Space Command, Data Architect for the Department of Justice and Information Architect for the National Marine Fisheries Service (NMFS). In these roles, he established the first data management programs and data policies for all four organizations and also contributed to the development of policy for the National Atmospheric and Oceanic Administration (NOAA). He also helped established electronic trade standards as U.S. delegate to the United Nations, served on the White House Data Cabinet, and the National Oceanic and Atmospheric Administration’s Big Data Council. Prior to his federal service he conducted basic scientific research in neuroscience, taught neuroscience and statistics, and conducted industrial R&D. He is an inventor and author, with a number of AI patents from this work in industry.