by Dan Galavan | Jun 17, 2022 | Blog, Data Modeling, Snowflake, Snowflake Data Cloud, Uncategorized
One of the many new feature announcements at this year’s Snowflake Summit was Snowflake Unistore Hybrid Tables. The Hybrid Table offering stores data to support fast single-row transactions along with storing the data in columnar format. In other words: The...
by Dan Galavan | Feb 7, 2022 | Analytics, Blog, Data Governance, Data Integration, Data Modeling, Data Warehouse, Open Data, Secure Data Sharing, Snowflake, Snowflake Cloud Data Platform, Snowflake Data Cloud, Snowflake Data Marketplace, Snowflake Data Sharing, The Third Wave of Open Data
Data sharing including cloud-based data marketplaces are appearing at a growing rate to match data consumers with the right data suppliers. Data sharing has a long history in academic, research, and public policy circles. In more recent years it has made enormous...
by Dan Galavan | Dec 7, 2021 | Analytics, Blog, Data Governance, Data Integration, Open Data, Secure Data Sharing, Snowflake Data Cloud, Snowflake Data Marketplace, Snowflake Data Sharing, The Third Wave of Open Data
“Organizations cannot just pump out data for the sake of data and hope that maybe someone will find it”- Jaimie Boyd, Chief Digital Officer for the government of British Columbia during the Summer of Open Data. The Summer of Open Data, which took place in 2020,...
by Dan Galavan | May 20, 2021 | Analytics, Blog, Business Intelligence, Data Warehouse, Snowflake Data Cloud, Snowflake Data SuperHero, Snowsight
Sherlock Holmes, the fictional private detective, uses a combination of observation, deduction, forensic science, and logical reasoning to investigate cases. He applies these facets to great effect in solving those cases. This process is known as “Holmesian...
by Dan Galavan | Apr 14, 2021 | Analytics, Blog, Business Intelligence, Data Flow Automation, Data Integration, Data Lake, Data Modeling, Data Vault, Data Warehouse, Snowflake Data Cloud
A data model is a communication tool Data models are core components of a successful data pipeline, whether formally or informally. They influence how Data Engineers develop the desired data transformation logic. Data models support data governance, data...
