Engineering do Brasil

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE

Businesswire | April 18, 2023

Sigma Computing (“Sigma”), the fast, easy-to-use, and powerful alternative to traditional business intelligence (BI), has announced the launch of Input Tables, a first-of-its-kind feature that allows Sigma users to add data directly to the warehouse. With Input Tables, technical and business users can build scenarios, augment existing models, and comment and collaborate at cloud scale. Input Tables enables enterprises to migrate all of their analytics and data-driven work to th...

BIG DATA MANAGEMENT

dotData | July 21, 2021

A leader in full-cycle enterprise AI automation solutions, dotData, announced today the integration of its award-winning Automated Feature Engineering (AutoFE) technology with Databricks Platform and is available on the same. With this integration of dotData’s AutoFE and Databricks Platform, Databricks users can now explore 100x more features and boost model accuracy quickly, augmenting domain features with hundreds of AI features. dotData’s AutoFE is completely integr...

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE

Prnewswire | May 17, 2023

Cockroach Labs, the company behind the leading independent cloud-native distributed SQL database CockroachDB, today announced the realization of its vision to enable customers to run a best of breed distributed database everywhere and anywhere effortlessly. With the launch of CockroachDB-as-a-service running on Microsoft Azure in limited access, CockroachDB is now available on-demand across all three major cloud providers (with existing product availability on Amazon Web Services and Googl...

BIG DATA MANAGEMENT

integrate.ai | August 18, 2022

integrate.ai, a SaaS company helping developers solve the world’s most important problems without risking sensitive data, today announces the availability of its privacy-preserving machine learning and analytics platform. The platform leverages federated learning and differential privacy technologies to unlock a range of machine learning and analytics capabilities on data that would otherwise be difficult or impossible to access due to privacy, confidentiality, or technical ...