Real-time Analytics News for the Week Ending August 17
In this week's real-time analytics news: The Linux Foundation welcomed the Open Model Initiative to focus on the development of generative AI models that are …
Topic: Big data platforms
Forecasting the Potential Impacts of the Lakehouse Movement on Businesses
As businesses continue to navigate the complexities of the digital landscape, adopting a Lakehouse architecture will become crucial for maintaining a …
IBM StreamSets Targets Real-time Data Integration
IBM StreamSets supports real-time data integration allowing businesses to create and manage smart streaming data pipelines that deliver the data needed to make …
Real-time Analytics News for the Week Ending August 3
In this week's real-time analytics news, Lenovo and Databricks are teaming up to increase the use of
The Relevance of SQL in Data Science: A Timeless Tool in a Modern World
SQL plays a central role in data science and is just as important today as it was decades ago. Its ability to integrate effortlessly with modern tools, handle …
Smart Talk Episode 5: Disaggregation of the Observability Stack
Observability adoption is growing fast–and the tech stacks running observability are becoming bloated. Watch our experts talk about why and what to do about …
Real-time Analytics News for the Week Ending June 29
In this week's real-time analytics news: DataStax announced major updates to its Generative AI development
Why Fintechs Need a Unified Real-time Data Platform
As customer expectations around instant gratification grow, fintechs increasingly need to respond in real-time. In this interview, we explore what the …
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.
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 …