Ricardo Sueiras

In this session I am going to cover a new open source project called Cedar that helps you decouple your authorisation logic from your application code. This is a hands on, code session, and will help you see how you can build next generation authorization into your applications.

Organizations have many reasons why they might need to support hybrid environments, from maximizing the value of heritage systems to meeting local compliance and data processing regulations. Extracting insights out of all your data, wherever it is located, is a key priority for many businesses, and hybrid data pipelines can help them achieve this.

Apache Airflow is a popular orchestration tool that uses Python to author workflows, but what is it, what are the architectural components, why do I need this, and how do you get started? If you care about reliably getting your data from source to your big data platforms, this is the talk for you.

According to analysts, 87 percent of enterprises have already adopted hybrid cloud strategies (https://www.flexera.com/blog/industry-trends/trend-of-cloud-computing-2020/).

Time-series data can be found anywhere, from DevOps metrics to gaming applications and IoT devices. Traditional operational or analytical databases do not fit the time-series model and can be complex to manage and difficult to scale.