What are the challenges involved in data synthesis for the enterprise? What are the pitfalls to avoid and the solutions to rely on? Join Tonic.ai CTO and co-founder Andrew Colombi and Mockaroo CTO and founder Mark Brocato as they share their insight and experiences on the frontlines of big data generation.
“At scale”—two small words for a universe of challenges in the realm of software development. From performance issues to endless integration requirements to the risks of relying on open source tools, building developer solutions at the scale required by the enterprise is riddled with complexities. And when it comes to test data generation, big data is making “at scale” an ever bigger problem.
What are the challenges involved in data synthesis for the enterprise? What are the pitfalls to avoid and the solutions to rely on? Join Tonic.ai Head of Engineering and co-founder Adam Kamor and Mockaroo CTO and founder Mark Brocato as they share their insight and experiences on the frontlines of big data generation. They’ll reflect on what they’ve learned over the years in scaling up their products, as well as scaling up software companies over the course of their careers from startups to industry leaders.
They’ll speak to:
- lessons learned from Log4j, and the inherent risks of open source software
- the trade-offs of building tools in-house vs. third-party solutions
- optimizing platform performance for large-scale deployments
- and the growing pains along the journey from startup to scale-up and beyond.