Hello, data folks.
Are you building a data application using your data warehouse, be it customer-facing analytics, externally shared APIs, or in-house tools like an admin panel, and finding yourself entangled with latency and cost problems? If so, you've come to the right spot!
What Are the Challenges ?
When it comes to building data applications on top of your data warehouse, several obstacles can get in the way. Here are the primary obstacles you might come across:
High Query Latency: Customer-facing applications require speedy responses, often within milliseconds. Traditional data warehouses, however, are optimized for analytical workloads, which might lead to slow query responses that could negatively impact your application's user experience.
Security Concerns: In a world where data breaches are all too common, implementing an application-specific security layer is vital. This is especially important for multi-tenant environments where each user must access only their own data.
Cost Considerations: The scalability of your applications to serve a large number of concurrent users can bring about cost challenges. As the user base grows, the associated cost of managing a data warehouse might skyrocket. Striking a balance between scalability and cost can be quite a struggle.