Getting File Data Ready for Cloud Data Lakes
A cloud data lake strategy is a natural evolution for data-heavy enterprise IT organizations moving to the cloud, as it elevates the cloud from a cheap data …
Real-time Analytics News for Week Ending January 15
In this week's real-time analytics news: Databricks and Vantiq introduced retail-specific offerings, AWS announced the general availability of Hpc6a instances …
Driving Faster Insights with a Data Mesh
A Data Mesh approach removes the bottlenecks that come with the traditional data warehousing and data lake models, and in doing so, allows companies to drive …
Using a Semantic Layer to Propel a Data-Driven Culture
A semantic layer lets organizations connect data warehouses, data lakes, and data lakehouses to an existing data ecosystem to ensure their continued relevance …
Data Lakes, Time-Series Data, and Industrial Analytics
The challenges of integrating time-series data into data lakes can be overcome by using the right architecture and providing the appropriate metadata.
DataBricks adds $1.6 Billion in Series H Funding
In a market where companies routinely get late-stage funding of $100 million or more, DataBricks again shows the strong investor interest in AI data platforms.
Real-time Analytics News for Week Ending May 29
In this week's real-time analytics news: A machine learning scholarship program train the next generation of ML leaders, a virtual ML-for-good hackathon, and …
How IoT Platforms Empower Distributed Portfolio Management in Critical Facilities
IoT platforms are being used to perform multiple functions to keep critical services running and facilities operational.
Say Goodbye to Performance Benchmarks and Hello to Efficiency Benchmarks
Many enterprises are realizing that the price tag of moving to the cloud can get pretty high, and are looking to implement cost controls.
GridGain Announces New Data Lake Accelerator
The GridGain Data Lake Accelerator is designed for real-time performance and comprehensive
