Using Amazon Redshift Materialized Views with Looker

Materialized Views (MVs) allow data analysts to store the results of a query as though it were a physical table. This makes MVs a useful and valuable tool for analysts, especially those working in AWS Redshift, because they allow analysts to compute complex metrics at query time with data that has already been aggregated, which can drastically improve query performance.


Updates from Bugfender Q2, 2020

Welcome to the Bugfender summer newsletter! As we already announced, we achieved a major milestone recently by releasing the Web SDK, bringing the features you love using to a whole new platform. But as always we want to keep pushing to give you a better product, and we’ve introduced recently some more updates we want to share with you: We hope you find all these updates useful!

Welcome and Introduction to DataOps.NEXT

DataOps matters, especially in today’s uncertain times. Data management and analytics are crucial to respond faster and drive results for your business, your customers and society. That’s why we built DataOps.NEXT to help you get from now to what’s next, with data. We’ll bring out Dr. Jennifer Hall, the chief of data science for American Heart Association (AHA) to discuss how Hitachi Vantara and AHA have worked together to support research for COVID-19. Tune in for Pedro Alves, Hitachi Vantara’s head of product design and designated “Community Guy.” He’ll provide our vision and strategy for DataOps, including an update on Pentaho Open Source and Enterprise Edition

Ways to improve conversion through website Funnel Monitoring

The Journey from Visitors to Customers Funnels are foundational-level building blocks of all digital businesses. Funnels are the path taken by visitors to a website, to become a customer. Visitors flow through a website in large numbers, but all of that traffic funnels down to just a trickle of signups, sales, or conversion. Marketing Funnel monitoring and analysis can help spot where users are leaving your website so that you can take necessary action to increase conversions.


Community Highlight: How Supralog Built an Online Incremental Machine Learning Pipeline with InfluxDB OSS for Capacity Planning

This article was written by Gregory Scafarto, Data Scientist intern at Supralog, in collaboration with InfluxData’s DevRel Anais Dotis-Georgiou. At InfluxData, we pride ourselves on our awesome InfluxDB Community. We’re grateful for all of your contributions and feedback. Whether it’s Telegraf plugins, community templates, awesome InfluxDB projects, or Third Party Flux Packages, your contributions continue to both impress and humble us.


Introduction to Machine Learning Models

Over the last 100 years alone, artificial intelligence has achieved what was once believed to be science fiction: cars that drive themselves, machine learning models that diagnose heart disease better than doctors can, and predictive customer analytics that lead to companies knowing their customers better than their parents do. This machine learning revolution was sparked by a simple question: can a computer learn without explicitly being told how?


Sifting Through COVID-19 Research With Qlik and Machine Learning

Research on COVID-19 is being produced at an accelerating rate, and machine intelligence could be crucial in helping the medical community find key information and insights. When I came across the COVID-19 Open Research Dataset (CORD-19), it contained about 57,000 scholarly articles. Just one month later, it has over 158,000 articles. If the clues to fighting COVID-19 lie in this vast repository of knowledge, how can Qlik help?