Systems | Development | Analytics | API | Testing

Interview

API Load Testing Mistake #5: Not Factoring in External API Calls - @SmartBear Talks

Nowadays, lots of modern API-based applications make calls out to third-party APIs. These APIs can belong to your organization, or they can be located on a partner, customer, etc. side. Today, we will analyze the specifics of calling these APIs during API load testing. Robert Schneider, a software testing consultant from WiseClouds, will help us avoid the mistakes when working with external API calls.

Fivetran's Approach to Automated Data Integration, with Co-Founder and COO Taylor Brown

Fivetran’s mission to to make data as accessible and reliable as electricity. We're focused on providing automated access to data so data analysts and engineers can be empowered to actually analyze their data. For small companies and large enterprises, Fivetran replicates data from 150+ sources to enable business intelligence and data-driven decisions alongside our partner companies. Learn more at Fivetran.com

API Load Testing Mistake #1: Separating Load Tests from Business Process - @SmartBear Talks

API performance testing becomes highly-demanded in all companies. It's very important to make sure how each single API works, as well as how they work under a different load. Many companies are trying to do API load testing by using the same approaches they use to test single APIs. In this video, we will talk with a world-known API expert, Robert Schneider, about the importance of including API load testing scenarios into a business process.

The Data Modernization Imperative. The Emergence of Kafka & the Growing Role of DataOps - Session 1

Featuring: Matt Aslett, Research Director, Data, AI and Analytics, 451 Research Key trends in data modernization Matt Aslett, Research Director, 451 Research highlights data modernization strategies influenced by the Coronavirus Pandemic. In particular, he points to data-driven decision making and real-time technologies such as #ApacheKafka as enablers. Key initiatives, such as #DataOps are discussed, and the pivotable role it shares in driving data modernization.

The Data Modernization Imperative. The Emergence of Kafka & the Growing Role of DataOps - Session 2

Featuring: Matt Aslett, Research Director, Data, AI and Analytics, 451 Research Kafka adoption and the role of #DataOps Matt Aslett, Research Director, 451 Research discusses the emergence of #ApacheKafka, as a leading platform for real-time event-driven architectures. While adoption is strong, organizations are challenged by the complexity of #Kafka as their deployments expand and additional use cases are adopted.

The Data Modernization Imperative. The Emergence of Kafka & the Growing Role of DataOps - Session 3

Featuring: Matt Aslett, Research Director, Data, AI and Analytics, 451 Research The Kafka skills shortage Matt Aslett, Research Director, 451 Research shares the challenges created by the wide-scale adoption of #ApacheKafka. In many cases, Kafka is a victim of its own success. Listen in on strategies of how organizations building applications on #Kafka can scale their teams in spite of a skills shortage

Reach New Speeds and Unlock Unstructured Data Value

Unstructured data is the biggest untapped source of value in your organization, and we can help unlock that value. Since 80% of data is unstructured and growing at an exponential rate, just having BIG data isn’t good enough. You need big data FAST in order to make more accurate and timely decisions. Hitachi Vantara can deliver your data at the speed of business with faster data access to maximize your infrastructure advantage for accuracy, productivity, competitive edge and better outcomes.