Systems | Development | Analytics | API | Testing

Take control of your data consumption spend without killing your innovation

In this 5 minute video Talend customer Aurizon shows how they take control of their consumption costs with data requirements running 24/7, how they are enabled to continue to innovate without the need to ask for more budget and how to design a foundation for data and analytics with healthy data that delivers business outcomes.

WestJet Airlines Scales Easily & Quickly With The Snowflake Data Cloud

WestJet Airlines Ltd. is a Canadian airline headquartered in Calgary, Alberta. It is the second-largest Canadian airline, operating over 700 flights a day and carrying more than 22 million guests a year. Learn why Breyten Van Tonder, Senior Manager of Data Engineering at WestJet and his team utilize the Snowflake Data Cloud to enable their user community to be more analytical and innovative with their data.

10 best practices for building a modern data stack

Companies are tightening the belts with one exception: data. The modern data stack shows no signs of a recession with Frank Slootman the CEO of Snowflake saying at their annual user conference they will not slow hiring plans. CNBC Tech Council executives noted how technology investments are business drivers, not cost centers. And Foundry’s annual cloud computing survey cites cloud analytics as a top growth driver. A digital economy is fueling this growth in the data sector.

Flow Creation in Edge Flow Manager

This video shows the usage of Edge Flow Manager’s flow designer and using the example flow it explains the concept of agent classes and publishing. It goes through the Dashboard view for agent classes and the canvas for the flow designer where processors, remote process groups and funnels are also explained. To see all of this in action, a very basic flow is created with two processors and published to the MiNiFi agents under the agent class the flow is designed for. After publishing, the means of tracking the flow deployment progress are also covered.

Challenges of Textual Data and the Progression of Textual Analytics

In the beginning, simple systems collected data, wrote data to files, and created reports. For the most part, these systems operated on transaction-based data—bank deposits, sales, telephone calls, and the like. An entire infrastructure supported these essential business systems, but there was little or no place for text. All data was highly and tightly structured, and text was ignored.

How Do I Enrich My Data: Data Management and ETL

Five things you need to know about how to enrich data ETL: All business decisions happen based on the data that’s available. It makes sense, then, that the more detailed that data is, the more effective those business decisions can be. That’s where data enrichment comes in. When e-commerce companies enrich data, they can improve data analysis and business intelligence and make smarter, more informed decisions.