Why Column-Aware Metadata Is Key to Automating Data Transformations
Data, data, data. It does seem we are not only surrounded by talk about data,…
More to followKent Graziano is an award-winning author, a recognized expert in the areas of data modeling, data architecture, and agile data warehousing, and the former Chief Technical Evangelist for Snowflake. He is currently a strategic advisor at Coalesce, the data transformation company.
Data, data, data. It does seem we are not only surrounded by talk about data,…
More to followPLEASE NOTE: This post was originally published in 2019. It has been updated to reflect…
Learn MorePeople tend to simplify. So all types of machine-assisted thinking get dubbed "artificial intelligence," or…
Learn MoreThe velocity of change is accelerating. The rate of change businesses are experiencing is just…
Learn MoreFor this last post in my Data Vault (DV) series, I will discuss two more…
MoreSetting Up for Maximal Parallel Loading In this post, I will discuss how to engineer…
More DetailsData Vault is an architectural approach that includes a specific data model design pattern and…
More to followThe total amount of enterprise data grows exponentially each year, and companies will continue to…
More DetailsDespite the clear benefits of data warehousing programs, business units often question what they perceive…
Find Out HowA 2018 DATAVERSITY report found that 42% of respondents did not have a high level…
ExploreWith the rise of mobile devices and applications, as well as the Internet of Things,…
ExploreOne year after implementation, the European Union’s General Data Protection Regulation (GDPR) continues to be…
Here's HowLike any good database, Snowflake has a data dictionary that we expose to users. We…
Expand your knowledgeAs I have written before, I think our fast cloning feature is pretty cool. Not…
Learn MoreSince I have joined Snowflake, I have been asked multiple times what data warehouse modeling…
Expand your knowledge(Note: This the the first in a two-part series discussing how we handle semi-structured data…
More Details