To thrive in today’s world of data, you must know how to manage and derive value from semi-structured data such as JSON to deliver valuable insight to your organization. If you’re an experienced data architect, data engineer, or data analyst, you’ve probably been exposed to semi-structured data such as JSON. IoT devices, social media sites, and mobile devices all generate endless streams of JSON log files. You can’t avoid handling JSON data, but it doesn’t have to be as hard as you might think.
One of the key differentiators of Snowflake, the data warehouse built for the cloud, is its ability to natively ingest semi-structured data such as JSON, store it efficiently, and then access it quickly using simple extensions to standard SQL.
Join Snowflake’s Chief Technical Evangelist, Kent Graziano, for our on-demand webinar, “How to Analyze JSON with SQL,” to learn:
- Modern approaches to produce analytics from JSON data using SQL, easily and affordably
- How to leverage your existing knowledge and skills in SQL to jump into the world of big data
- Step by step, how to load your semi-structured data directly into a relational table, query the data with a SQL statement, and then join it to other structured data
Chief Technical Evangelist, Snowflake