Simplify Your Edge to Create More Value
We're beginning to enter a new realm where businesses need to address business challenges at scale. That often requires the edge that can process, analyze, and …
Topic: Spotlight
Streaming Data, Digital Twins, and Overcoming the Tyranny of Averages
Swim helps business build applications that use streaming data to enable sophisticated business logic, which, in turn has a valuable impact on the business.
Data Observability’s Role in Ensuring Data Reliability
Data reliability ensures that business teams can confidently use the data to operate effectively and to operate very quickly.
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
“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 …
How To Prepare and Move Your Analytics and Machine Learning Projects to Hybrid Cloud
The Vertica SQL database and in-database machine learning solutions support the entire predictive analytics process with massively parallel processing and a …
The Need for Data Observability in Today’s Cloud-Oriented Data Architectures
Businesses moving data into and out of cloud platforms often lack insights into data quality, utilization, costs, and more. Here, we interview Acceldata’s …
