Easily Loading and Analyzing Semi-Structured Data in Snowflake

April 7, 2017
Organizations today need to store and analyze a growing number of JSON, XML, Avro, and other semi-structured data sources, but it's a challenge. Hadoop is an easy place to store data but it's awful for analysis. Relational databases require transformation and negate the value of the semi-structured data. Snowflake lets you store and analyze your semi-structured data with ease. Take a look to see how. To learn more about using JSON in Snowflake, download our FREE ebook "How to Analyze JSON with SQL" https://www.snowflake.net/resource/analyze-json-sql/ And check out these technical blog posts: https://www.snowflake.net/snowflake-sql-making-schema-on-read-a-reality-part-1-2/ https://www.snowflake.net/snowflake-sql-making-schema-on-read-a-reality-part-2/
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