Qlik Delivers Direct Query for Snowflake
Qlik enhances analytics exploration in Snowflake by launching Direct Query, a new capability that allows Qlik Sense applications and dashboards to query Snowflake directly using SQL pushdown.
Qlik enhances analytics exploration in Snowflake by launching Direct Query, a new capability that allows Qlik Sense applications and dashboards to query Snowflake directly using SQL pushdown.
#Bigdata has been revolutionizing the #airline industry. With the help of a #moderndatastack, JetBlue, one of the largest airlines in North America, is reimagining what’s possible with real-time data.
JetBlue’s Ashley Van Name shares how Fivetran helps the company grow and innovate with data — a journey where the sky’s the limit: https://5tran.co/3tCVXhM
In this tutorial, we’re going to build an interactive customer Churn Insights Dashboard using the open-source Python framework, Streamlit, and the Continual predictions generated in Part 1: Snowflake and Continual Quickstart Guide. In Part 1, we connected Continual to Snowflake and used a simple dataset of customer information, activity, and churn status to build and operationalize a machine learning model in Continual to predict the likelihood of a customer churning.
Google recently announced that the current Google Analytics 3 (Universal Analytics) will come to an end in July 2023 (now extended until October 2023) and they’ve encouraged all current users to start using the new GA4. Google Analytics 4 is the new version of the current GA reporting portal that current users have used to analyse the performance of their sites.
Sometimes the need for processing power you or your team requires is very high one day and very low another. Especially in machine learning environments, this is a common problem. One day a team might be training their models and the need for compute will be sky high, but other days they’ll be doing research and figuring out how to solve a specific problem, with only the need for a web browser and some coffee.
Snowflake has once again transformed data management and data analytics with our newest workload—Unistore. For decades, transactional and analytical data have remained separate, significantly limiting how fast organizations could evolve their businesses. With Unistore, organizations can use a single, unified data set to develop and deploy applications, and analyze both transactional and analytical data together in near-real time.