Scaling the Production of Complex Data Visualization Using Visual Programming - Beginner
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We live in a world with enormous amount of data presented to us and with the advancement of technology and research, we process more information and are empowered to make data-informed decision about many things in our lives. For example, we can get suggestions on the movies we are more likely to enjoy, be reminded by things we have to buy when we enter a grocery store and even avoid traffic congestions and receive fastest route getting from point a to b.
Data Visualization has played a critical role on our ability to consume large sets of data. Even though commonly used chart types such as bar charts and line charts have been effective ways to present data, leading publishers and companies have been exploring better ways to tell stories using data by leveraging the latest technology and research.
Pega has been developing this project because we think building these complex data visualizations is very code-dependent and time-consuming. With tens of thousands of application developers and partners, we needed a flexible yet highly maintainable approach to produce and deploy these visualizations. Writing javascript which has been a primary method to develop these visualizations is not scalable and painful to maintain and troubleshoot. Visual programming method allows Pega to control fundamental building blocks and core architecture while enabling application developers to create data visualizations to meet demand and specifications of many enterprises.
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Thanks to our sponsors
Scaling the Production of Complex Data Visualization Using Visual Programming - Beginner
Please log in to watch this conference skillscast.
We live in a world with enormous amount of data presented to us and with the advancement of technology and research, we process more information and are empowered to make data-informed decision about many things in our lives. For example, we can get suggestions on the movies we are more likely to enjoy, be reminded by things we have to buy when we enter a grocery store and even avoid traffic congestions and receive fastest route getting from point a to b.
Data Visualization has played a critical role on our ability to consume large sets of data. Even though commonly used chart types such as bar charts and line charts have been effective ways to present data, leading publishers and companies have been exploring better ways to tell stories using data by leveraging the latest technology and research.
Pega has been developing this project because we think building these complex data visualizations is very code-dependent and time-consuming. With tens of thousands of application developers and partners, we needed a flexible yet highly maintainable approach to produce and deploy these visualizations. Writing javascript which has been a primary method to develop these visualizations is not scalable and painful to maintain and troubleshoot. Visual programming method allows Pega to control fundamental building blocks and core architecture while enabling application developers to create data visualizations to meet demand and specifications of many enterprises.
YOU MAY ALSO LIKE:
- Fast Track to DevOps Fundamentals (in London on 23rd - 24th September 2019)
- µCon London 2020 - The Conference on Microservices, DDD & Software Architecture (in London on 27th - 29th May 2020)
- Running Stateful Applications in Kubernetes (in London on 5th September 2019)
- React & Redux Workshop with Damjan Vujnovic (in London on 16th - 18th September 2019)
- Damjan Vujnovic's Advanced JavaScript Workshop (in London on 4th - 6th November 2019)
- ProgNET London 2019 (in London on 11th - 13th September 2019)
- Haskell eXchange 2019 (in London on 10th - 11th October 2019)
- A Gentle Introduction to Shaders - Materials (in London on 27th August 2019)
- Front Endgineers September Meetup (in London on 5th September 2019)
- Powering Code Reuse with Render Props, Hooks and Context in React (SkillsCast recorded in August 2019)
- react2019 { css-in-js: overflow } (SkillsCast recorded in August 2019)
Thanks to our sponsors