Video description
As the scale of data continues to grow (alongside an ever expanding ecosystem of tools to work with it), developing successful applications is an increasingly challenging proposition—and a necessity. At each stage of the process, from architecting to processing and storing data to deployment, there are a range of aspects to consider. Things like scalability, consistency, reliability, efficiency, and maintainability. It can be hard to figure out the right way forward.
In this event, you’ll gain insight into design and engineering best practices through interactive sessions and live coding demos. Join us to learn how to make the right decisions for your applications.
About the Strata Data Superstream Series: This four-part series of half-day online events gives attendees an overarching perspective of key topics that will help your organization maximize the business impact of your data.
What you'll learn-and how you can apply it
- Learn how to build, scale, and test robust data pipelines
- Get an overview of next-generation technologies for developing underlying data architectures
- Explore design considerations to make your applications successful and reliable
- Understand how to ask the right questions when developing ethical data products
This Superstream is for you if...
- You need to know the latest trends in data workflows, techniques, and tools.
- You want to improve the scalability, reliability, security, and maintainability of your applications.
- You want to better understand the systems you already use and the distributed systems on which modern databases are built.
- You want to learn the best ways to integrate data governance and ethical data practices into your applications.
Prerequisites
- Come with your questions
- Have a pen and paper handy to capture notes, insights, and inspiration
Recommended follow-up:
Table of Contents
Welcome, and Andrew McAfee and Alistair Croll: Fireside Chat—The Business and Societal Consequences of Data at Scale
Sev Leonard: Prototype to Pipeline—Evolving from Data Exploration to Automated Data Processing
Jose Kunnackal and Jesse Gebhardt: Delivering Seamless Embedded Analytics Within Applications (Sponsored by AWS)
Maureen Teyssier: Develop Data Science Products That Succeed
Kevin Poskitt and Silvio Arcangeli: The Evolution of Data Integration to Data Orchestration—Preparing and Integrating Data at Enterprise Scale (Sponsored by SAP)
Vinoo Ganesh: Watch Me Learn—Querying Data the Right Way
Jessi Ashdown: Designing for Data Governance—Three Strategies You Can Implement Today