by Angela Guess

According to a new press release, “Inquidia Consulting today announced the release of a new software component that allows developers of big data architectures to easily integrate new data sources into Snowflake’s cloud-native data warehouse and analytic engine. Snowflake Computing’s Elastic Data Warehouse is simple and easy to deploy for incredibly fast, scalable, and highly concurrent analytic applications. The component, designed for users of Pentaho Data Integration, can be plugged into new or existing Pentaho Data Integration deployments. The plug-in includes both a Snowflake warehouse manager and a Snowflake bulk loader component. The warehouse manager can create, drop, resume, suspend, and resize warehouses during processing. The Snowflake bulk loader takes advantage of Snowflake’s parallelism to load structured CSV type data and unstructured JSON data into Snowflake faster than previously possible.”

The release continues, “‘At Inquidia, we have always focused on delivering resilient, sustainable analytic environments for our customers,’ said Chris Deptula, senior architect for the Inquidia Labs project. ‘Inquidia sees Snowflake’s unparalleled data warehouse and analytic database technology at the forefront of the cloud analytics revolution. Our customers want simpler, streamlined and scalable operation of their Big Data, and Inquidia’s plugin for Pentaho in Snowflake’s platform does just that.’ The new component was built from the ground up, taking advantage of Snowflake’s native processing of diverse, structured and semi-structured data, massive parallelism, instant scalability, non-disruptive data loading, support for metadata injection, and more. The component also adds Snowflake as a native connection type in Pentaho.”

Read more at PRWeb.

Photo credit: Inquidia Consulting