Systems | Development | Analytics | API | Testing

Qlik Reporting Service - Brief Overview and Quick Demo - Part 1

This video provides a brief introduction of the Qlik Reporting Service and quick demo. More detailed demonstrations, best practices and tips when using it with Qlik Application Automation and Qlik Sense are in part 2 of this video: This initial release of the Qlik Reporting Service provides multi-channel, multi-page report output distribution and delivery of Qlik Sense insights to your organization either using a public API or Reporting Service connectors available in Qlik Application Automation.

New Snowflake Features Released In October And November 2021

Coming off of our Snowday event, we’ve unveiled a number of new product capabilities that expand what is possible in the Data Cloud. From helping businesses operate globally with improved replication efficiency, empowering developers with new functionality in Snowpark, and improving the security and governance of data through native object tagging, there is no shortage of exciting advancements coming to Snowflake.

Stitch vs. Fivetran vs. Xplenty: A Comprehensive Comparison

When it comes to providing the latest and greatest ETL and ELT tools, the platforms Stitch, Fivetran, and Xplenty are all top contenders. That being said, each platform also has its own set of pros and cons. Ultimately, the best ETL/ELT platform for your company will largely depend upon the needs of your organization. So, which platform will reign supreme for your company in the Stitch vs Fivetran vs Xplenty matchup?

Getting Started with CI/CD and Continual

While CI/CD is synonymous with modern software development best practices, today’s machine learning (ML) practitioners still lack similar tools and workflows for operating the ML development lifecycle on a level on par with software engineers. For background, follow a brief history of transformational CI/CD concepts and how they’re missing from today’s ML development lifecycle.

The modern data stack is broken. It's time for Data stack as a service (DStaaS).

Yes, I’ve said it. The modern data stack is a pain to work with. But it wasn’t always like that. As companies realized they can leverage data to accelerate growth new data tools were invented. From NoSQL databases that specialize in processing specific data structures (graph anyone?) to the Python-Pandas-like Spark ecosystem that allows you to run queries on Big Data (capital B, mind you). But with every new tool added to the data stack, the complexity increased.

It's An Exciting Future in Music When We Have Clean Data

Hello, I’m Imogen Heap – musician and tech founder. Now, I know what you might be thinking. Why is a musician and composer talking to me about data? Well, for any of you that follow my work, you will know that I am a bit of a data nerd, and that’s why I loved speaking to Joe DosSantos on the latest Data Brilliant podcast. A lot of my music is powered by data. In fact, Joe and I discussed my love for how technology and data inspires me to be more creative. Want to know how?