Learn how leveraging embedded analytics can modernize today's enterprise, reduce risk, and drive business value. We'll also show you how to make a rock-solid case for why embedded analytics is a smart move for your bottom line.

See the new Lenses Kafka to HTTP Sink Connector in action with Lenses.io and @itsmake. In this 30 minute session, we show you how to trigger APIs that automate your business processes: a message in Kafka calls a Make workflow, then triggering an automation in Salesforce.

Transform your software release process with Tricentis Tosca, the AI-powered, test automation solution designed for speed and scalability. Ensure flawless operation across your IT landscape, testing virtually any technology—desktop, mobile, enterprise apps, and notably, SAP.

Lakshmi Ramesh, Vice President of Data Services at Tinuiti, which services brands like Rite Aid, Nestle, and Instacart, joins us to talk about her work at the intersection of tech, data and marketing. We discuss how the company manages data from hundreds of platforms to serve both clients and internal teams.

Create dynamic tabular reports by combining the Qlik add-in for Microsoft Excel with report preparation features available within a Qlik Sense app. Deliver report output by email and to folders defined in Microsoft SharePoint connections. Reports can be in.xlsx or PDF format.

Get ready to debunk testing myths with Ross Radford in the latest 'Test Case Scenario' episode! Ross, Director of Software Engineering at BarSign, joins Jason, Nikolay, Marcus, and Evelyn, as they banter about the roles of testing in professional workflow and management, how to communicate the importance of testing to leadership, and the question of speed versus thorough testing. We even get a sneak peek into an upcoming must-read, 'Software Testing for Managers,' by Ross himself!

The Listen to Yourself pattern is implemented by having a microservice emit an event to a platform such as Apache Kafka, and then consuming its own events to perform internal updates. It can be used as a solution to the dual-write problem since it separates Kafka and database writes into different processes. However, it also provides added benefits because it allows microservices to respond quickly to requests by deferring processing to a later time.