The Growing Importance of Real Time in Retail
Tinybird’s Alejandro (Alex) Martín Valledor talks about the challenges of building real-time products, technologies that can help, and the benefits …
Topic: Big data architectures
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 …
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 …
Location, Location, Location Matters with Data, Too
Data location is increasingly important as it has consequences related to governance, application performance, and
Managing Database Access for Kubernetes Workloads
Red Hat OpenShift Database Access is a cloud service that simplifies how teams connect their apps to cloud-hosted partner databases. Across all clusters and …
Data Fabric: Make Safety a Strategic Center by Unlocking the Value of Big Data
A data fabric can break down data silos to help improve safety analyses, enabling more refined signal detection, benefit-risk profiles, and risk management …
Why Enterprises Benefit from Establishing a Meshy Fabric
A data mesh and data fabric can work together to create a cutting-edge solution to a normally overwhelmingly complex challenge.
Supercharging the Data Flowing into Advanced Analytics
Robotic data automation paves the way to the next generation of data integration architecture, which is data fabric and data
From Data Warehouse to Data Mesh: Usable Data is Still Key
A data mesh flips the script on centralization and having a monolithic data structure by decentralizing data management to the various business domains across …