Break Down Silos with Seamless Cross-Cloud Data Sharing
In today’s multi-cloud world, standardization works like a translator for cross-cloud data sharing, ensuring that different cloud platforms can read the 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.
How to Ensure Data Quality as Data Quantity Skyrockets
Ensuring data quality throughout an organization helps companies get the most out of their GenAI initiatives.
Unlock the Data Vault: The 5 Critical Capabilities Your CDP Should Have
Unlocking the full potential of customer data requires access to compliant, accurate data that can increasingly be investigated easily with GenAI
Why Legacy Observability Tools are So $!&%# Expensive
Observability products that use brute-force scanning instead of indexes don’t need to charge extra for custom metrics or place onerous restrictions on …
Real-time Analytics News for the Week Ending March 30
In this week's real-time analytics news: MLCommons released the results of its latest machine learning benchmarking tests.
Rethinking ‘Boring’ Business Data in the Age of AI and Data Privacy
Data drives business success and is critical for business operations. Building trust around its use has never been more important.
3 Ways to Get the C-suite on Board With MDM
Bad data holds businesses back, costing millions and hindering decision-making power. As such, it's time to prioritize master data management
Top Reasons to Move from Essbase to Next-Gen OLAP on the Cloud
While Essbase has been a steadfast ally to finance and budgeting teams, evolving expectations require a recalibration of analytical tools and ecosystems. The …
The Imperative of Data Integration in Mergers and Acquisitions: A Strategic Blueprint
For companies involved in a merger or acquisition, the path to success involves recognizing data integration as an opportunity to redefine the customer …
The Modern Data Stack Needs a Complete Overhaul – Here’s Why
Organizations need to take a hard look at their entire data stack and determine if all of the solutions are providing functionality, efficiency and accuracy, …