As a big data platform, Cloudera is being used by enterprises to make sense of large amounts of data to generate insights on various aspects of business, such as customer preferences and manufacturing ...

Richard Winter, CEO & Principal Consultant, Wintercorp LLC and Faculty Member, TDWI (tdwi.org), talked about how data warehouses have changed since the 1990s, the confluence of trends affecting data ...

LONDON--(BUSINESS WIRE)--Quantzig, a global data analytics and advisory firm, that delivers actionable analytics solutions to resolve complex business problems has announced the completion of its ...

Essentially, a data warehouse is an analytic database, usually relational, that is created from two or more data sources, typically to store historical data, which may have a scale of petabytes. Data ...

Snowflake Computing delivers a modern, cloud-based data warehousing platform which is giving traditional database vendors a run for their money. Built from the ground up to exploit the capabilities of ...

In today’s fast-changing data landscape, having a strong data system and advanced analytical tools is key to getting valuable insights and staying ahead of the competition. The data lakehouse ...

Google’s history of machine-learning research increasingly informs its cloud product development strategy, and it introduced a preview of machine-learning capabilities for its BigQuery data warehouse ...

There are still a lot of obstacles to building machine learning models and one of those is that in order to build those models, developers often have to move a lot of data back and forth between their ...