Systems | Development | Analytics | API | Testing

Device Farms Reimagined: Attaining Any-to-Any Test Coverage

Join social trading platform pioneer eToro and partners Sauce Labs and Testlio for a discussion on the role that device architectures play towards building a quality engineering system for scale. The speakers will pull from real-world experiences to offer perspectives on the implications of alternative testing architectures.

How Iceberg Tables Work In Snowflake | Demo

Iceberg Tables, a new type of Snowflake table available in preview, pairs Snowflake’s powerful performance engine and platform capabilities with open formats in external storage. In this video, you will get:❄ An overview of Apache Iceberg❄ A demo showing how Iceberg Tables support interoperability between different tools❄ A technical deep dive on how Iceberg Tables work in Snowflake Links to Iceberg resources.

Scaling DevOps with Appian for Faster and Better Performance

Scaling your DevOps practice to keep pace with ever- increasing demand and shorter cycles feels difficult—but it doesn’t have to be. In this session, Appian experts will show you how to get the most out of our end-to-end deployment pipeline by leveraging the latest low-code features designed to optimize your development operations, collaboration, deployment, and automated testing.

SaaS in 60 - Natural Language Insights on Dashboards

You can now deliver AI-generated, natural language insights directly on sheets in Qlik Sense. With our new natural language object, you can include narrative interpretations and readouts for any context, such as an overall sheet, a group of visualizations, or an individual visualization. This capability allows all Qlik Sense users to benefit from NLG when exploring in dashboards, boosting data literacy and driving improved data storytelling.

What's Ahead in Data Management in 2023?

Data management is fundamental to every application. Managing this precious asset is an essential competency in modern businesses of every sort. Innovations in data platforms are being adopted, and data management approaches are evolving rapidly to keep pace. Increasingly, enterprises are converging their data warehouse, data lake, and other data management platforms onto distributed cloud-native infrastructures. As more types of data are consolidated into their platforms, enterprises implement more scalable DataOps pipelines and more comprehensive governance practices to manage it all.