One key to efficient data analysis of big data is to do the computations where the data lives. In some cases, that means running R, Python, Java, or Scala programs in a database such as SQL Server or ...

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 ...

SAN FRANCISCO--(BUSINESS WIRE)--Trifacta, the Data Engineering Cloud company, today announced Google Cloud Dataprep by Trifacta now leverages the full power of SQL to transform data inside BigQuery.

Snowflake is a fully relational ANSI SQL data warehouse that was built from the ground up for the cloud. Its architecture separates compute from storage so that you can scale up and down on the fly, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google today is announcing the launch of new features for its BigQuery ...

Google is announcing several updates to its data analytics products at its Google Cloud Next developer conference today. The company wants to make it easier to move data to Google’s cloud, manipulate ...

SAN FRANCISCO--(BUSINESS WIRE)--Trifacta, the Data Engineering Cloud company and the makers of Google Cloud Dataprep, today announced widespread customer adoption of its BigQuery pushdown ...

We recently looked at the idea of the data lake, so now it’s time to head downstream and look at data warehouses. We’ll define data warehouses, look at the data types they comprise, the storage they ...

Data is flowing faster. As we have noted here recently, modern business is now increasingly running on data streaming technologies designed to channel a flood (in a positive sense) of real time data ...