Data Lakes by Example

With the advent of technologies like AI/ML becoming more mainstream, managing large amounts of data at scale is becoming a key component of any successful businesses.

While there are an ever increasing number of solutions available from cloud providers how can you understand which are best suited to solve a particular problem?

In this talk we will walk you through examples that illustrate how best to develop your data platform solutions. Using different use cases and scenarios taken from real world business problems, we will demonstrate how each has evolved from a traditional data soled approach into a more cloud native serverless solution.

The scenarios we will cover are:

1. Traditional Data Warehouses vs Data lakes
2. Streaming real time data
3. Reporting and business intelligence