Systems | Development | Analytics | API | Testing

Using Your Existing API to Become a Snowflake Data Marketplace Provider, Part 1

Many data providers who participate in Snowflake Data Marketplace are already using Snowflake Cloud Data Platform as their primary data store, and they can share secure slices of their data via Global Snowflake, Snowflake’s global data sharing feature, with any other Snowflake consumer regardless of which cloud or Snowflake region each is using. But other potential data providers, especially data enrichment companies, are not yet using Snowflake themselves.

How Yellowfin is working with Health iPASS to help medical practices survive

In this Webinar, Health iPASS, a leader in medical practice management software, discusses how they are using Yellowfin to provide business insights to medical practices. These insights allow clients to optimize their patient collections and hold their front desk teams accountable for collecting information and capturing card on file. In an era where medical practices are struggling because of COVID-19, Health iPASS has used Yellowfin to create a set of products to help these practices adapt their workflow and build for the future.

How to use data to change behaviors

The government's COVID-19 response is a good example of failed leadership from a data perspective. While government officials have access to a huge amount of data to help them make decisions they’ve fundamentally failed to use it to take people on a journey. There’s a huge lesson that businesses can learn from this on how to use data to change behaviors. What we’ve seen is governments responding to the outbreak at a very simplistic level.

How to use data to change behaviors

The government's response to COVID-19 is a good example of failed leadership from a data perspective. While government officials have access to a huge amount of data to help them make decisions, they’ve fundamentally failed to use that data to take people on a journey. There’s a huge lesson that businesses can learn from this on how to use data to change behaviors.

How Unity analyzes petabytes of data in BigQuery for reporting and ML initiatives

Editor’s note: We’re hearing today from Unity Technologies, which offers a development platform for gaming, architecture, film and other industries. Here, Director of Engineering and Data Sampsa Jaatinen shares valuable insights for modern technology decision makers, whatever industry they’re in.

Build on your investment by Migrating or Upgrading to CDP Data Center

Cloudera Data Platform (CDP) Data Center(DC) is the on-premises release of Cloudera Data Platform. CDP DC combines the best services and components from Cloudera Enterprise Data Hub and Hortonworks Data Platform Enterprise along with new features and enhancements across the stack to deliver the premier on-premises enterprise data platform . This unified distribution is a scalable and customizable platform where you can securely run many types of workloads.

Lumada for DataOps - Innovate with Data

DataOps is data management for the AI era. It offers new opportunities for emerging industry leaders by simultaneously instituting agility, improving quality, and increasing production success. Here, I will outline how you can solve some of your biggest data management issues with Lumada solutions, which power some of the top organizations in the world. Let’s first discuss data friction and how to remove it.

Are Your Machine Learning Models Wrong?

In addition to the very real negative impact on every person around the world, the COVID-19 pandemic is driving business disruptions and closures at an unprecedented scale. Enormous government stimulus programs are resulting in explosions in fiscal deficits, regulators are relaxing capital constraints on banks and central banks are supporting economic stability with a range of interest rate cuts and other stimulus measures.

5 Challenges of Building Data Applications

Fast-growing software companies are building data applications for a variety of uses, from marketing apps that provide customer insights, to IoT apps that handle device feedback, and data analytics apps that process both historical and near real-time data. But developers often face obstacles when building, designing, and supporting applications that need to parse large volumes of information.