Systems | Development | Analytics | API | Testing

Using Snowflake to Analyze Unstructured Data

Unstructured data stores a tremendous amount of information, but it is not easy to search, analyze, or query, especially on the fly— presenting more challenges to data architectures that are already complex. In this session, you will learn about Snowflake’s new support for unstructured data and how unstructured data can be used to analyze proprietary replay files for the Dota 2 video game. Dota 2 has a substantial esports presence and its developer hosts the world's largest endowed esports tournament.

Import Google Analytics 4 Data into Snowflake and Translate into SQL

Did you know that Google Analytics 4 now exports event data at the individual user level for free? In this episode of SnowFlake Bytes, Felipe Hoffa, Snowflake’s Data Cloud Advocate, shows you how to move this GA4 data into Snowflake and translate the sample queries into Snowflake SQL. His favorite part of the process? Creating a UDF that transforms the original schema nested data into a variant object that is easier to query.

4 pitfalls in your data strategy (and how to avoid them)

If you’re a data leader at an early-stage or high-growth company, you’re in a unique position to promote data appreciation. Don’t waste your golden window of opportunity. Take this moment to institute best practices, promote good habits, and build the foundation for a data-driven culture. There’s no universal data strategy that would work for all organizations — wouldn’t that be great? — but there are pitfalls that all organizations should watch out for.

What went wrong with customer 360

Three decades into the data revolution, my fellow technologists and I find ourselves asking an existential — and rather distressing — question: What happened to the promise of customer 360? The ability to get more customer data was supposed to fundamentally change the relationship between customers and brands. Companies were going to be able to offer targeted, meaningful engagements that would multiply average deal size and slash time to close.

Healthcare & Life Sciences Data Cloud

Healthcare and life sciences organizations are under unprecedented pressure to adapt and respond to changing patient needs and market conditions. The Healthcare & Life Sciences Data Cloud enables healthcare and life sciences organizations to leverage the full potential of data to help deliver exceptional patient outcomes and accelerate medical innovation, while also enabling the highest levels of data security, governance, and compliance.

New Snowflake Features Released in February 2022

February brought a number of exciting enhancements, especially for customers building and running data pipelines in Snowflake, including support for Snowpark stored procedures and flexible task execution. Additionally, customers get improved impact analysis through support for object dependencies, and we continue to expand Snowflake’s global reach with the regional availability of UAE North (Dubai) on Azure. Read on for more!

Experiments - Building a Predictive analysis dashboard using Qlik Sense & Qlik AutoML

Combining descriptive analytics with predictive can enable organizations & Analysts to derive further value from their data. Join R&D Advocate, Dipankar in this tutorial where he guides how to build a dashboard with both historical data and predictions derived from Qlik AutoML.