Interested in running Data Quality and Anomaly detection monitors on Snowflake? Wishing for a better way to add end-to-end alerting and monitoring? Look no further 💫 Check out Part 2 of our Series on this below 👇 📺 https://lnkd.in/eFhJ2yM6
Orchestra’s Post
More Relevant Posts
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Just in a great session at #datacloudworldtour London by my colleagues Rebecca O'Connor and Tony Hoad, talking about different options for querying unstructured data in Snowflake. The ability to directly query data from unstructured (even handwritten) documents is really powerful. Nice job on the session you two!
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*queue red alert sound from Star Trek in your head* Last week Snowflake Alerts became generally available in Snowflake release 7.34! Alerts make it super easy to send a notification or perform an action when data in Snowflake meets certain conditions. - Want to know when credit usage goes above a threshold? Alert! - Data does not meet a business rule? Alert! - Resource usage exceeds a pre-specified threshold? Alert! https://lnkd.in/gnYurVZe
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Big Data/ Hadoop | Pyspark | Databricks | Azure Services | Snowflake | Tableau | SQL | Linux | CICD
4th Badge from Snowflake - Data Lake !!!! Overview : - Accessing and analyzing of non-loaded data in a Data Lake - Making use of Unstructured data - Creating Secure Materialized view on External Tables pointing to Parquet and JSON files in external stage. - Introduction to Iceberg Table a new open source object from apache with unique use cases. - Experience with Geospatial Data Types and Geospatial Functions.
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LWD is 26th July. Azure Solutions Architect | Spark Developer | Databricks Platform Architect | Azure Administrator | Microsoft Modern Data Platform
Accidents happen. Have you ever accidentally dropped a table in your Snowflake database and felt like you’ve lost valuable data forever? If so, fear not! Check out my latest blog and learn more about data restoration options. #dataRestoration #snowflake #undropTable
Exploring Data Restoration Options in Snowflake: UNDROP TABLE, Time Travel, and Beyond
link.medium.com
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Senior Solutions Architect at Snowflake | Author of "the Data Vault Guru" | Certified Data Vault 2.0 Practitioner and Business Architect (CBA®)
#Datavault on #Snowflake modelling and querying Master Class. An hour of: 🔥Static and Dynamic Pruning 🔥 🔥Pitless, PIT and SnoPIT joins 🔥 🔥Binary Hash-Keys vs Text Hash-Keys vs Natural Keys vs SNOPIT Int column Joins 🔥 A special thank you to the team at Data Vault User Group https://lnkd.in/gHzYFDVe How we turned a PIT load from 28 minutes to under 2 minutes, and then turned that snapshot code into a Dynamic Table with incremental loads. https://lnkd.in/gHdc2uev
Data Vault Performance & Constraints on Snowflake
https://www.youtube.com/
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My certification prep is picking up speed, here is my latest badge about Snowflake Data Lakes.
Hands On Essentials - Data Lake was issued by Snowflake to Stefan Tippelt.
credly.com
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Did you know that Snowflake can seamlessly be used to interact with datalakes? Learn more about how with Snowflakes Hands On lab and Earn your HOL Essentials for Data Lake Badge too! #snowflake #datalake #sql
Hands On Essentials - Data Lake was issued by Snowflake to Jason Grant Holt.
credly.com
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Removing duplicate data using Window function row_number() in Snowflake.
Removing duplicates using row_number() in Snowflake.
link.medium.com
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Jumpstart your Snowflake journey with our beginner's course – Part 1 of Snowflake LLMs created by Mehdi Aziz Sidi Boumedine. Get hands-on and level up your data skills today! Check out the course: https://buff.ly/3rKwjtI #Snowflake #DataLearning #InfoStrux ❄️📚
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Business Data Analyst @ Samsung | AWS Certified | Snowflake | SQL | Power BI | Tableau
🎉 Excited to share another achievement in my data journey! Just earned the Snowflake Badge 4: Hands-On Essentials - Data Lake! I dived into the world of Data Lakes and learned how to leverage Snowflake's staging to unlock invaluable insights. Staging in Snowflake allows us to efficiently query structured, semi-structure, or raw unstructured data from various sources, even before loading it into Snowflake. This means we can query and analyze data directly from the staging area, providing unmatched flexibility and agility. 🔄 #Snowflake #DataLake #BusinessIntelligence #SQL #DataEngineering
Hands On Essentials - Data Lake was issued by Snowflake to Sourabh Vitthal Shelke.
credly.com
