So, lets get started! Create A table with JSON Data JSON data in raw form right in your database. Snowflake can parse JSON natively, meaning you can store Will just use their examples in Snowflake for this blog post. Since Jamf provides example Webhook Data in their online documentation, we Lifting off of your plate! Jamf Webhooks Right to Snowflake Tables No database configurations to deploy, so all you have to do is use the product and let Snowflake take all of that heavy Scale of the cloud, meaning IT & Ops folks don’t ever have to worry about managing the service and platform.
Using snowflake pro to write a scropt professional#
The best part as an IT & Ops professional is that Snowflake uses the power and Query language used here, just simply SQL.
This is another great thing about Snowflake is that you can use all the SQL experience you have gained over the years and apply it right to the platform. So, you might already be familiar enough with SQL. Things like: MySQL, Postgres, Oracle, Microsoft SQL, or another SQL based database. IT and Operations folks have also most likely dealt with some sort of SQL based database at some point in their career. Just ship the JSON data as is right to the platform. This allows IT and Operations people to ingest JSON data in their data pipelines without having to transform Snowflake can store semi-structured data in columns natively using the variantĭata type. You will work with JSON data most likely at some point. Like REST APIs, so if you haven’t worked with JSON JSON documents are very common all over tech. This post will focus on some basic ways one can work with data with in Snowflake.įor this blog I will be focusing on JSON data stored in Snowflake columns. Data has always been very important, and Snowflake just makes using the data a tonĮasier than we have ever had before. You may click that link to read it first. Welcome to Part II of my miniseries blog around Snowflake with IT & Ops Data.
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