Real-time Analytics News for Week Ending July 2
In this week's real-time analytics news: Databricks announced new features and enhancements to its offerings at its annual Data + AI Summit.
Topic: Big data platforms
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 …
Real-time Data and Database Design: Why You Should Sweat the Small Stuff
Picking the right database when there are so many available should not just be a case of using whatever was easy for your last project.
Integration Needs Scalability, User-Friendly Interface
Integration solutions should enable all business users to leverage data for active decision-making. Companies that get this right will find themselves better …
Data Fabric vs. Data Mesh: Key Differences and Similarities
Data fabric and data mesh both strive to bring organization to the data that is spread across the databases or data lakes. Data fabric is very …
Is the Data Cloud Alliance for Data Openness or for Google?
The Alliance believes that by committing to open data standards, access, and integration between data platforms and applications, it can significantly …
Real-time Analytics News for Week Ending April 30
In this week's real-time analytics news: HPE launched HPE Swarm Learning, a privacy-preserving, decentralized machine learning framework for the edge.
Real-time Analytics News for Week Ending April 23
In this week's real-time analytics news: AWS announced the general availability of AWS IoT TwinMaker, which helps developers build digital twins of real-world …
Join the Open Banking and Open Finance Revolution
Open Banking is now expanding towards the broader revolution of Open Finance, which goes beyond any regulatory framework and is designed to share more precise …
The Role of Knowledge Graphs in Cloud Data Integration
Graph databases and knowledge graphs have a number of built-in advantages when it comes to overcoming the challenges of data