Systems | Development | Analytics | API | Testing

%term

Spark APM - What is Spark Application Performance Management

Apache Spark is a fast and general-purpose engine for large-scale data processing. It’s most widely used to replace MapReduce for fast processing of data stored in Hadoop. Designed specifically for data science, Spark has evolved to support more use cases, including real-time stream event processing. Spark is also widely used in AI and machine learning applications.

How Data Robot Automates Artificial Intelligence | Part 1 | Snowflake Inc.

Dan Wright, President and COO of DataRobot, talks about how DataRobot is revolutionizing artificial intelligence by automating an end-to-end experience to market for consumer use. He discusses how DataRobot's new platforms unlock powerful applications of deep learning technology that help leverage open source technology and provide security to customers. Rise of the Data Cloud is brought to you by Snowflake.

Decentralizing API Design at NAB | National Australia Bank

Continuing on the journey of building a new API platform, NAB’s primary focus this year has been improving API quality by building tooling for API design and API governance. This Kong Summit 2020 session will cover NAB’s new API search capability, which allows quick API discovery across the organization, and how the team implemented decentralized API governance.

How businesses use automated business monitoring

One of the big trends we’ve seen this year is organizations going direct to consumer. Manufacturers who sold through retail outlets are moving online, and as a result a huge amount of digital transformation is occurring. A customer of ours has done exactly that. Kyowa is a Japanese cosmetics and health food company and they’ve moved from retail to going online and digital and Yellowfin has been a significant part of that journey.

Why You Need DataOps in Your Organization

DataOps is the hot new trend in IT, following on from the rapid rise of DevOps over the last decade. The growth of AI, machine learning, and move to cloud all contribute to the growing importance of DataOps. Kunal Agarwal, Unravel Data CEO will take you through the rise of DataOps and show you how to implement a data culture in your organization.

Deploy With Ease and Enable API Automation With Scale

Microservices is a technology that is leading the march toward digital transformation in the world of application development. As the number of APIs increase, the need for a single entry point into the system becomes necessary. This means that a secured, robust, agile API gateway is highly important. However, what we often forget is that the API deployments must also move up with the CI/CD model, along with other components of the project.