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.
Topic: Data management
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
Data Management in the Era of Data Intensity
To succeed in the digital services economy – and the era of data-intensive applications – you need to leverage fresh data to deliver engaging real-time …
Backend Data Integration Challenges in the Age of Cloud
Cloud is increasingly supporting faster and more comprehensive methods of data integration, including automated data pipelines, real-time data streaming, and …
