Francesco Tisiot

Optimization problems are everywhere, from deciding which clothes to pack in our luggage (aka the knapsack problem), to selecting the tasks that will be worked during a sprint. Trying to solve these type of problems by hand is a tedious task often resulting in sub-optimal decisions.

In this talk, we'll understand how PostgreSQL recursive queries can help. Starting from the proper problem definition, we'll then explore how to build queries that call themselves recursively, what are the risks associated with this approach and safeguards we can set to optimise performances. Finally we'll demonstrate how two new features released in PostgreSQL 14 enable an easier handling of the recursive statements.

If you're into PostgreSQL and eager to understand how recursion works, this session is for you!

Apache Kafka is recognised as the best data streaming platform around, but it can be difficult to observe what is happening when you are just getting started with this excellent technology platform. In this session, you will get a tour of key Kafka features using the delightful web UI of Jupyter notebooks.

Use the notebooks to see Kafka and Python in action, producing and consuming records. We’ll also cover how to get the best from your application by making good use of topic partitioning and consumer groups. From high-level concepts to nitty-gritty details, this session will equip you with the skills you need to build applications with Kafka. Recommended for anyone curious about Apache Kafka or using Jupyter to work with or learn new data platforms.

Any conversation about Big Data would be incomplete without talking about Apache Kafka and Apache Flink: the winning open source combination for high-volume streaming data pipelines.

In this talk we'll explore how moving from long running batches to streaming data changes the game completely. We'll show how to build a streaming data pipeline, starting with Apache Kafka for storing and transmitting high throughput and low latency messages. Then we'll add Apache Flink, a distributed stateful compute engine, to create complex streaming transformations using familiar SQL statements.

This session is aimed at data professionals, who are ready to embrace open source streaming and make their data fly.