What is AtScale used for?

AtScale empowers ML data pipelines with flexibility, control, and stability. It also lets AI-generated insights reach broader audiences with direct integration to business intelligence.

Is AtScale open source?

AtScale is a launch partner for the new, open source Delta Sharing project. We see the tremendous value in establishing an open source protocol for data sharing within modern cloud data architectures.

Can big data be Analysed?

Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s possible to analyze your data and get answers from it almost immediately – an effort that’s slower and less efficient with more traditional business intelligence solutions.

What is a semantic data layer?

“A semantic layer is a business representation of corporate data that helps end users access data autonomously using common business terms. A semantic layer maps complex data into familiar business terms such as product, customer, or revenue to offer a unified, consolidated view of data across the organization.”

What are the types of big data analytics?

There are four main types of big data analytics: diagnostic, descriptive, prescriptive, and predictive analytics.

What is virtualization of big data?

Data Virtualization is the process of abstracting different data sources through a single data access layer which delivers integrated information as data services to users and applications in real-time or near real-time.

Why choose atscale for big data?

“One of our top priorities was to have the ability to run rapid-fire, multi-dimensional analytics at large scale, directly from the BI tools our data users prefer. With AtScale, users can run live queries, straight to Google BigQuery at great speeds.

What is the atscale semantic layer?

The AtScale semantic layer connects BI and AI tools to cloud data platforms. Optimize upstream and downstream queries while exposing business-oriented data models that abstract complexity away from raw data.

Why atscale for BigQuery?

With AtScale, users can run live queries, straight to Google BigQuery at great speeds. It is not something that we saw anyone else able to deliver.” “AtScale’s ability to automatically create and manage highly efficient aggregates is critical to our success. Before we had AtScale, query performance was too slow.