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Support Multiple Data Modeling Approaches with Snowflake
PLEASE NOTE: This post was originally published in 2019. It has been updated to reflect…
Find Out MoreKent Graziano is the Chief Technical Evangelist for Snowflake Inc. He is an award-winning author, and recognized expert in the areas of data modeling, data architecture, and agile data warehousing. He is an Oracle ACE Director – Alumni, member of the OakTable Network, a certified Data Vault Master and Data Vault 2.0 Practitioner (CDVP2), expert data modeler and solution architect with more than 30 years of experience.
PLEASE NOTE: This post was originally published in 2019. It has been updated to reflect…
Find Out MorePeople tend to simplify. So all types of machine-assisted thinking get dubbed "artificial intelligence," or…
More DetailsThe velocity of change is accelerating. The rate of change businesses are experiencing is just…
Expand your knowledgeFor 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…
MoreData Vault is an architectural approach that includes a specific data model design pattern and…
See howThe total amount of enterprise data grows exponentially each year, and companies will continue to…
ExploreDespite the clear benefits of data warehousing programs, business units often question what they perceive…
MoreA 2018 DATAVERSITY report found that 42% of respondents did not have a high level…
More DetailsWith the rise of mobile devices and applications, as well as the Internet of Things,…
En savoir plusOne year after implementation, the European Union’s General Data Protection Regulation (GDPR) continues to be…
Find Out HowLike any good database, Snowflake has a data dictionary that we expose to users. We…
DiscoverAs I have written before, I think our fast cloning feature is pretty cool. Not…
En savoir plusSince I have joined Snowflake, I have been asked multiple times what data warehouse modeling…
En savoir plus(Note: This the the first in a two-part series discussing how we handle semi-structured data…
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