Data Modeling in the Age of JSON
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Hadoop created high hopes more than a decade ago. Why? Because traditional data warehouses couldn’t cope with the massive increases in data and the new data types generated from enterprise websites, m
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It's true, Snowflake is a relational data warehouse. But with enhanced capabilities for semi-structured data - along with unlimited storage and compute - many organizations are replacing their data wa
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The right data lake platform is the modern cloud data warehouse integrated with a modern data management solution to equip your company with unfathomable levels of new insight.
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Over the last 10 years, the notion has been that to quickly and cost-effectively gain insights from a variety of data sources, you need a Hadoop platform. Sources of data could be weblogs,...
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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 fo
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Break free from complexity. Keep your data architecture super simple with a zero-admin, ACID-compliant, modern data warehouse built for the cloud. Support all your analytic needs on diverse data such
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Jarrod McLean, CTO and Chris Nagle, Sr Software Engineer from Inmoji explain why Inmoji, the exciting new emoji-based advertising tech platform needed to find a cloud data warehouse solution that can
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Watch Kurk Spendlove, Director of Engineering share how the leading SaaS provider of fraud prevention and multifactor authentication solutions switched from Vertica to Snowflake in order to load semi
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See how you can store and query JSON data in Snowflake without transformation. To learn more about using JSON in Snowflake, check out these blog posts: https://www.snowflake.net/snowflake-sql-making-s
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Hopefully you had a chance to read our previous top 10 posts. As promised, we continue the series with a deeper dive into another of the Top 10 Cool Features from Snowflake. #6 JSON support with...
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Her Snowflake's founders talk about how Snowflake extended the relational database to make it possible to bring together structured and semi-structured data (e.g. JSON, Avro, XML) in a single system.
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