Attitudes on Cloud Database Migration Cover Vast Territory
A majority of organizations have migrated databases to the cloud. Many cite increased demand for data analytics as the
Topic: Big Data
Big Data technologies and use cases for real-time analytics. Big Data technologies, market insights, and use cases for real-time analytics.
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.
Businesses Unequipped For Data Boom In Next Five Years
Data collection is growing at an exponential rate, but many businesses are still stuck with legacy systems ill-equipped for increased volume and
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 …
Real-time Analytics News for Week Ending October 8
In this week's real-time analytics news: Accenture is with Mars to modernize its global manufacturing operations with AI, cloud, edge technology, and digital …
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.
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 …