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 …
Okay, Your Data Is in The Cloud. Now What?
Moving data to the cloud is about democratizing data. But democratization is about utility as well as
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.
The Promises of Data Fabric in Digital Transformation
While data lakes and warehouse store the data itself, they don’t give you the picture of your data in motion as data fabrics
Actian Announces Next-Gen Data Warehouse for AWS
Actian's new Avalanche data warehouse will leverage the capabilities of AWS, providing real-time insights across multiple
GigaSpaces’ Data Lake Accelerator Aims for Faster Analytics
AnalyticsXtreme offers 100X faster data lake access and speeds up machine learning on both real-time and historical
Case Study: Multinational Retail Chain Migrates To Hadoop
How one big retail chain moved its data warehouse to a Hadoop
Data-as-a-Service: The New Model for Analytics?
With data-driven companies, project bottlenecks are often the size and shape of your own data team. Here's how data-as-a-service might help unplug
4 Principles to Enabling a Pristine Data Lake
What are the challenges you need to tackle to keep your data lake from becoming an unwieldy “data
