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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,…
Full DetailsKent 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,…
Full DetailsPLEASE NOTE: This post was originally published in 2019. It has been updated to reflect…
Here's HowPeople tend to simplify. So all types of machine-assisted thinking get dubbed "artificial intelligence," or…
Delve into the detailsThe velocity of change is accelerating. The rate of change businesses are experiencing is just…
Have a lookFor this last post in my Data Vault (DV) series, I will discuss two more…
Here's HowSetting Up for Maximal Parallel Loading In this post, I will discuss how to engineer…
Expand your knowledgeData Vault is an architectural approach that includes a specific data model design pattern and…
DiscoverThe total amount of enterprise data grows exponentially each year, and companies will continue to…
Find Out MoreDespite the clear benefits of data warehousing programs, business units often question what they perceive…
DiscoverA 2018 DATAVERSITY report found that 42% of respondents did not have a high level…
Find Out HowWith the rise of mobile devices and applications, as well as the Internet of Things,…
Learn MoreOne year after implementation, the European Union’s General Data Protection Regulation (GDPR) continues to be…
Full DetailsLike any good database, Snowflake has a data dictionary that we expose to users. We…
Find Out MoreAs I have written before, I think our fast cloning feature is pretty cool. Not…
More to followSince I have joined Snowflake, I have been asked multiple times what data warehouse modeling…
Learn More(Note: This the the first in a two-part series discussing how we handle semi-structured data…
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