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Qlik Analytics 2020 - Alerting, Augmented Analytics, Active Intelligence and More

2020 was quite a year of innovation for Qlik analytics. We delivered key new augmented analytics capabilities with big updates to Insight Advisor, we integrated intelligent alerts fully into Qlik Sense in less than a year, we continued to expand our visualization capabilities to make it easier to showcase your data in exciting and compelling ways, and we made it even easier to execute analytics in the cloud.

Qlik Analytics 2020 - Alerting, Augmented Analytics, Active Intelligence and More

2020 was quite a year of innovation for Qlik analytics. We delivered key new augmented analytics capabilities with big updates to Insight Advisor, we integrated intelligent alerts fully into Qlik Sense in less than a year, we continued to expand our visualization capabilities to make it easier to showcase your data in exciting and compelling ways, and we made it even easier to execute analytics in the cloud.

How ThoughtSpot Navigates the Cloud | Part 2 | Snowflake Inc.

COVID-19 has pushed ThoughSpot to emphasize it's capabilities in cloud technology. CMO Scott Holden talks about how ThoughtSpot's search engine can sit atop & use cloud technology and how he's shifted the company's marketing efforts and campaigns. Rise of the Data Cloud is brought to you by Snowflake.

Accelerating the Build-Out of Digital Platform in the Public Cloud

In this Kong Summit 2020 session, we will cover the architecture and approach we used to build out our digital platform at Goldman Sachs by leveraging Kong’s API gateway to implement a secure ingress controller for all digital channels, including private/public API and web interfaces. We will discuss how we integrated Kong’s API gateway with AWS native services to implement mTLS, observability and container runtime, as well as share our operational experience of running resilient API workloads in production.

Introducing: Business Impact Alerts

Anodot is the only monitoring solution built from the ground up to find and fix key business incidents, as they’re happening. As opposed to most monitoring solutions, which focus on machine and system data to track performance, Anodot also monitors the more volatile and less predictable business metrics that directly impact your company’s bottom line. Now there’s an easy way to measure the business impact of every incident.

Amazon Kinesis vs. Kafka: A Detailed Comparison of Data Stream Services

The key differences between Amazon Kinesis and Kafka are: Introducing data streamers! These services validate and route messages from one application to another, managing workload and message queues effectively. The result? Users process messages through a centralized processor and handle large data streams more efficiently. Amazon Kinesis and Apache Kafka are two data stream services.