
Tag: OLAP
Multidimensional analysis, or the use of pre-computed OLAP cubes, used to be a primary method for quickly obtaining useful information from reams of data, but has largely fallen out of favor in the age of big data and big compute. Read more…
The shift from on-premise environments to the cloud is happening at a tremendous pace. However, once enterprises move their data to the cloud and make it available to their business users, they face several challenges, such as performance slowdowns and an explosion in cloud costs. Read more…
The shift from on-premise environments to the cloud is happening at a tremendous pace. However, once enterprises move their data to the cloud and make it available to their business users, they face several challenges, such as performance slowdowns and an explosion in cloud costs. Read more…
The shift from on-premise environments to the cloud is happening at a tremendous pace. However, once enterprises move their data to the cloud and make it available to their business users, they face several challenges, such as performance slowdowns and an explosion in cloud costs. Read more…
The latest release of a real-time data analytics platform takes makes use of a new SQL feature in Apache Druid that combines data or rows from multiple tables based on common values. Read more…
Companies that need to analyze large amounts of data have many options available to them these days. One option they may want to be aware of is Kyligence, which develops a distributed OLAP query engine that can run on prem and in the cloud. Read more…
It’s often the prep work in analytics that kills you. Before any analysis can be run, engineers must assemble, transform, and standardize the data. In a world where data silos are proliferating in the cloud, on premise, and everywhere in between, that becomes a big challenge. Read more…
A real-time analytics startup founded by the authors of the Apache Druid database have raised additional funding as they ramp up product development based on the open-source data store.
Imply said it has raised $30 million in a funding round led by investors Andreessen Horowitz along with Geodesic Capital and Khosla Ventures. Read more…
The rise of data lakes has in the process of consolidating data exposed a gap between databases, files and other data repositories and the ability to view, analyze and leverage those data. Read more…
Many of today’s digital transformation and omnichannel customer experience initiatives demand real-time analysis of data. For example, banks need to analyze transactions across their systems in real time to detect and prevent fraud. Read more…