Undrop a Table, Database or Schema
Hopefully you had a chance to read our previous posts #10, Query Results Sets available…
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Snowflake Query Result Sets Available to Users via History
As promised in the previous post from Kent Graziano, here is a deeper dive into…
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Customizing Oracle Sql Developer Data Modeler (SDDM) to Support Snowflake VARIANT
On a recent customer call, the data architects were asking if Snowflake provided a data…
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Part II: Making Schema-on-Read a Reality
In the first article of this series, I discussed the Snowflake data type VARIANT, showed…
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Part I: Making Schema-on-Read a Reality
(Note: This the the first in a two-part series discussing how we handle semi-structured data…
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Announcing the Native Python Connector for Snowflake
Additional thanks to co-writers Greg Rahn, Product Management and Shige Takeda, Engineering. A key priority…
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The Role of IT in the Cloud Era
My first job was as an engineer helping design hardware for “big iron” enterprise servers,…
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Data Lake or Data Swamp?
I’ve been in many conversations about using a “data lake” as a new component in…
Find Out HowBetting Big on the Cloud
I remember the first time that someone asked me about cloud computing. I was attending…
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Data Science vs. Data Engineering
Learn some the key differences and overlaps between data science vs. data engineering, including specialized positions.
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Data Architects
Learn how data architects provide structure, foresight, and expertise in the field of data science and marry technical skills with business management acumen and strategic vision.
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Data Mining Tools
Data mining tools are software solutions that use computer science to process data, aggregating and analyzing data to find patterns and bring forward the most pertinent information quickly. Learn more.
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Snowflake for DATA ENGINEERING
Discover how Snowflake’s architecture streamlines data engineering to deliver the performance and simplicity required to...
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