In this video, we'll walk through an example on how you can use Cloudera Data Engineering to pull in multiple datasets from a Hive data warehouse and go through the process of enriching the data through the use of Apache Spark. We'll then run this Spark job from within Cloudera Data Engineering so that we can follow the progress and see details about the job's execution.

A collection of the more demonstrable features in Qlik Data Analytics release February 2021.

Join executives from Allianz Benelux and Emirates to hear why their organizations are joining the Data Cloud. The Data Cloud is transforming companies across financial services, transportation, and other industries. As leaders develop strategies to support the next 3–5 years of innovation, the Data Cloud is becoming a critical enabler for the success of their enterprises. Learn how these companies are seizing the opportunity with Snowflake, and see the broader impact Snowflake’s cloud data platform is having on their organizations.

When creating a mobile application, organisations have a few options to choose from; mobile web, native or a hybrid application. Where web apps are just websites that can be accessed on the internet via a mobile browser like Chrome or Safari, native apps are applications that are developed for a specific platform such as Android or iOS. Hybrid apps are different because they possess elements from native apps and web apps.

Join Kong CTO and Co-Founder Marco Palladino as he explores what zero-trust security is and why we need it and shows it in action with Kong Mesh, which is built on top of CNCF’s Kuma and Envoy.

Anodot collects AWS real-time usage metrics and AWS CUR files to enable full visibility. Anodot automatically learns each service usage pattern, using patented anomaly detection technology and alert relevant teams to anomalous spikes or drops in real-time. Our patented anomaly detection technology learns the behavior and every service you use - EC2, S3, ELB and the rest, to automatically identify any deviation from the expected usage and cost pattens. Leave alert storms, false positives, and dashboards behind and leverage the power of proactive, autonomous monitoring.