Getting File Data Ready for Cloud Data Lakes
A cloud data lake strategy is a natural evolution for data-heavy enterprise IT organizations moving to the cloud, as it elevates the cloud from a cheap data …
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.
4 Ways Automation Helps Harness Data’s Full Potential
Organizations need automation to access data more efficiently so that decisions can keep up with today’s breakneck speed of
Real-time Analytics News for Week Ending January 29
In this week's real-time analytics news: Agnostiq announced an open-source workflow orchestration platform for quantum computing and HPC, Alkymi announced the …
Why Data Integration Is Integral to Successful Enterprises
As enterprises look to make the most of their data, they should consider the benefits that data integration can bring to their business, especially as more …
Why Data-Driven Enterprises Need Data Observability
RTInsights sits down with Rohit Choudhary, Founder & CEO at Acceldata.io, to discuss data challenges enterprises face today and how data observability can
Data: The Competitive Differentiator for Innovation
As businesses master the automation and orchestration of data and compliance processes, data is proving to be the competitive differentiator in this age of …
Swim: 48% Organizations Analyze Streaming Data In Real-Time
Organizations are increasingly opting for an analyze-then-store method for streaming data, according to a new survey by
Cloud Services for Event-Driven Architectures (EDAs)
The combination of Apache Kafka and Kubernetes helps developers create EDAs and real-time data pipelines that stream and integrate data between
How Agility Helps Overcome Sales and Marketing Challenges
The right platforms and processing provide the needed agility to empower sales and marketing teams with vital data-driven decision-making
Driving Faster Insights with a Data Mesh
A Data Mesh approach removes the bottlenecks that come with the traditional data warehousing and data lake models, and in doing so, allows companies to drive …