Lulu Cheng

Dec 7, 2024 | dev.to | Lulu Cheng

Many data platforms today are built bottom-up, starting with collecting data that "might be useful later" and gradually patching together solutions as needs arise. This approach inevitably leads to fragmented implementation, mounting cost and technical debt. Data system design requires specialized expertise across data modeling, distributed systems, security, and compliance.

Nov 13, 2024 | dev.to | Lulu Cheng

Today, we have access to highly scalable data tools handling massive volumes that would have been unthinkable just a few years ago. LLMs process billions of parameters, streaming platforms handle millions of events per second, and data warehouses that can easily scale to petabytes. Ironically, while individual tools are more scalable than ever, organizations find themselves struggling with increasingly unscalable data platforms.

Nov 8, 2024 | dzone.com | Lulu Cheng

Encryption is one of the most effective data security strategies, alongside access control, software updates, and network segmentation. However, adding encryption to an existing tech stack can be challenging. Data pipelines aren’t typically designed to handle encryption and decryption, leading to additional migration work, operational complexity, and higher compute costs. Data encryption presents its own challenges in modern times.

Oct 27, 2024 | dev.to | Lulu Cheng

Infrastructure and internal platform adoption don’t typically happen organically. In the best-case scenario, adoption happens through partnerships with product teams to enable feature development or provisioning automation. However, in many cases, particularly in the worst-case scenario, platforms are forcibly “adopted” by product teams through migrations. To set the stage, migrations are bad.

Oct 15, 2024 | dev.to | Lulu Cheng

Despite more and more money spent on data security, data breaches continue to occur. Security, platform, and data engineering teams often operate with differing priorities, leading to fragmented solutions that address symptoms rather than the root causes. While there are many exciting new products in developer tools in cloud and app security with varying levels of success, there are currently no similar tools to empower engineers specifically in data security.