What’s the Difference Between Streaming Apps and Data-in-Motion?
Many streaming apps use cases help businesses first understand what is going on, and then provide the insights into what to do about
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Beyond Mainframe Data Access: The Need for Smart Data Pipelines
Smart data pipelines take data from its source (e.g., a mainframe), put the data into the right format needed by those working with it, and integrate the data …
The Economic Impact of Transitioning to Hybrid Cloud for Analytics and Machine Learning
Analytics and ML performance and speed to results can be vastly improved when using a hybrid cloud that incorporates a modern database.
InfinyOn Provides the Needed Link to Enable Real-time Event Streaming Applications
InfinyOn has architected a platform for data in motion that uses SmartModules to enable enterprises to program their data pipelines for real-time services.
Enabling Real-time Analytics At-Scale Use Cases
Businesses today need to be able to easily build and scale analytics applications that can analyze data when it is created or when events
Unleashing the Value of Mainframe Data for Use in Modern Data Analytics and Reporting Pipelines
With StreamSets, data engineers can design reusable intelligent mainframe data pipelines that transform the data in motion while identifying and adapting to …
The Value of Making Mainframe Data Accessible in Modern Businesses
An essential element in making business decisions today is how to make transactional and operational mainframe data more easily available for reporting and …
“Googling” Your Industrial Data: Fixing Search for SMEs
Industrial DataOps practices and software are simplifying the processes by which industrial data can be managed and served to subject matter experts so that …
The Growing Importance of Real Time in Retail
Tinybird’s Alejandro (Alex) Martín Valledor talks about the challenges of building real-time products, technologies that can help, and the benefits …
Overcoming the Obstacles to Real-Time Analytics
A discussion about what real time really means, the challenges companies face when trying to do real-time analytics, and the benefits that can be realized when …