Green Open Banking: How APIs Could Help Mitigate Our Impact on the Climate
With open banking, each data element can be exposed as an API. The process is infinitely more efficient than other data access and sharing methods and has a …
Topic: Data management
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 …
Thrills! Perils! Data Privacy in the Metaverse
Conventional data protection approaches, which focus on enterprise data centers, will not be sufficient to ensure data privacy in the metaverse.
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 …
The Snowflake Data Experience: A Survey of Snowflake Users and How They Optimize Their Data
Acceldata recently surveyed a group of data engineers, chief data officers, and other enterprise data team members about their data environments and how they …
AI’s Achilles Heel: Data Quality
More business leaders and technologists are focusing on improving the data quality behind AI projects to promote more inclusive datasets to take bias out of AI …
Real-Time Data Trends Pushing for Democratization
Enabling real-time data democratization is no easy task philosophically, organizationally, or technologically.
Modernizing Interoperability: Key to Battling the Effects of Long COVID
Free and fluid data exchange has been vital to the fight against COVID-19, and it will remain vital because of Long COVID.
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 …
Data Engineers Spend Two Days Per Week Fixing Bad Data
Data engineers spend 40% of their workweek dealing with incidents relating to poor data quality, which may cost an organization 20% of its