How Data Will Dictate What’s Next in the Streaming World
Giving viewers personalized experiences in real-time has become a requirement for any streaming service that wants to stay on
Topic: Big data analysis tools
Data Sharing & Marketplaces: Enabling the Data-Driven Enterprise
New technology enables a wide range of data sharing models that help businesses monetize data assets without distributing or disclosing sensitive
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 …
“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 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 …
Top Challenges of Using Real-Time Data
Given the unique challenges of working with real-time data, organizations need to consider which tools will help them deploy and manage AI and ML models in the …
Using DataOps For Hybrid, Real-Time Data Management
DataOps can help reduce time spent on busy work, allowing everyone from business leadership to entry-level data analysts to become more organized and …
To Batch or To Stream–That Is the Question of the Day
Claypot AI founder, Chip Huyen, designs machine-learning systems that combine streaming data and batch processing to accommodate multiple data
Maximizing the Value of Your Data Lake
Organizations are adopting modern data management approaches, such as semantic-based knowledge graphs, to connect data across the enterprise and accelerate the …
The 4th Shift in the Evolution of Finding Insights from Data
Real-time analytic databases that combine CRUD with streams for high concurrency and sub-second response times across billions of data points are needed for …
