Smart Talk Episode 4: Real-Time Data and Vector Databases
General-purpose databases are changing to adapt to the new AI and GenAI workloads. Take Postgres which recently gained vector database extensions.
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.
From REST to Best: How GraphQL is Transforming API Integration
GraphQL offers efficiency, flexibility, and an enhanced developer experience making it a better choice for content management than REST
Real-time Analytics News for the Week Ending June 22
In this week's real-time analytics news: In separate announcements, HPE and Deloitte teamed with NVIDIA on new AI
How Lakehouse Architecture Will Make Waves in Customer Data Management
Lakehouse architecture is revolutionizing customer data management by eliminating data silos, maximizing flexibility, and improving data quality and …
Where to Train Your AI Dragon
Selecting the right service provider and tuning your AI workloads can dramatically reduce associated training and inference costs. The exercise improves …
Accelerate AI Workflows with a Flexible Data Architecture Built on Unified Storage
Unified storage that can easily work with multiple data formats, structures, and access mechanisms across a hybrid multi-cloud landscape provides a strong …
Real-time Analytics News for the Week Ending June 8
In this week's real-time analytics news: The Snowflake Data Cloud Summit 2024 produced dozens of company and partner announcements.
How Industrial Manufacturers Benefit from IT/OT Convergence
A modern approach to industrial connectivity, one that is not simply a one-to-one sharing of data between point systems, enables IT/OT convergence. That, in …
Data Democratization and Quality Key to Industrial Manufacturing Success
Data democratization is revitalizing industrial manufacturing operations, enabling better decision-making, and improving operational efficiency. Learn how …
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 …