A technical book about popular space-efficient data structures that are extremely useful in modern Big Data applications.
In this talk, I describe the path to start with GraphQL in a company that has experience with Python stack and REST API. We go from the definition of GraphQL, via behavioral aspects and data management, to the most common architectural questions.
In this talk, I explain the five most important problems in data processing that occurred in different domains but can be efficiently solved with probabilistic data structures and algorithms. We cover the membership querying, counting of unique elements, frequency and rank estimation in data streams, and similarity. [ Slides are here. ]