Systems | Development | Analytics | API | Testing

In this episode of “Data Cloud Now,” host Ryan Green chats with Pavel Dolezal and Petr Hunka of Keboola about a new wave of interest among businesses to take advantage of the latest developments in Snowflake and Keboola technologies to simplify their data architectures. “People are now more interested in changing the whole company to be data driven, changing business processes with AI, instead of changing just one part,” says Dolezal, “And Snowflake has definitely changed how the game is played.”

See how the Qlik Data Integration Platform helps streamline, automate, and accelerate your end-to-end data pipeline.

This video goes through the capabilities of the MiNiFi C++ agent for publishing its system and processor metrics to Prometheus. This can be used for active monitoring and alerting of your agents at scale.

This video will show how you can move your Selenium projects to Katalon Studio – better test automation, no legacy scripts wasted.

Learn how Snowflake can be used to efficiently calculate On Time In Full metrics and how Snowflake can simplify and improve your inventory management process in this tutorial from Snowflake senior sales engineer, Benjamin McClellan.

Watch this demo video to learn how Sauce Labs mobile app diagnostics works and how it can help you debug and release high-quality apps faster.

Watch how you can use Qlik Cloud Data Integration to create a simple data mart on Snowflake from an on-premise RDBMS transactional data. This video provides additional information and detail while going trough the build process.

Extracting Data from SAP into Snowflake and Amazon SageMaker with Qlik Cloud Data Integration and Qlik SaaS Analytics.

Watch Pavel Zamudio-Ramirez of Appian and our partner Ramesh Sundaresan of Ryder discuss everything you need to know related to low-code platforms, maximizing resources, and dramatically improving your business results.

Qlik Data Integration enable you to automatically produce real-time transaction streams into Kafka. Take advantage of modern analytics and microservices, enabling streaming analytics as well as streaming ingestion into data lakes and data warehouse platforms. And unlock the potential of data from legacy systems with microservices environment integrations.