An overview of Redis, an open-source multi-model NoSQL DB as a foundation for Big Data projects in the Internet of Things ecosystem and beyond.

Learn how ODPi Egeria uses its distributed virtual graph to connect metadata about an enterprise’s data and IT services from many different tools and then apply governance across this landscape.

In this talk, we will split data governance into into “bite-size” pieces. What are the tools, processes, and skill needed to build a compliant data platform?

Introducing the FLaNK stack which combines Apache Flink, Apache NiFi, Apache Kafka and Apache Kudu to build fast applications for IoT, AI, rapid ingest.

This talk will introduce the main building blocks for a streaming data architecture and how they can be put together to address business problems.

In this talk, we’ll look at the entire streaming platform provided by Apache Kafka and the Confluent community components. Starting with a lonely key-value pair, we’ll build up topics, partitioning, replication, and low-level Producer and Consumer APIs.

This talk will discuss the key design concepts within Kafka Connect and the pros and cons of standalone vs distributed deployment modes. We’ll do a live demo of building pipelines with Kafka Connect for streaming data in from databases, and out to targets including Elasticsearch.

In this session we’ll briefly look at:
* The role of objective and subjective data, and how these influence data-driven insights;
* ‘Trans-contextual’ information and the implications for AI; 

Join the session to learn more and how to apply the successful analytics strategy to your own organization(s).

In this talk we will go over the difference between these solutions by clustering them according to 4 main use cases:
1. Collaboration over data: enabling teams to collaborate over data over time, while contributing to the data evolution.
2. Managing ML pipelines: allowing pipeline management of ML projects, from model creation to production.

Designing a system to cope with loads of billions of events is harder than it seems. In this talk the presenter will go through the most common use cases and pitfalls and provide tips and good practices about how to design systems to avoid them.

James will talk about the new products and features that make up Azure Synapse Analytics and how it fits in a modern data warehouse, as well as provide demonstrations.

 Karol Sobczak

Software Engineer, Founding Member

Poland, Starburstdata

During the talk Lukasz and Karol will give a quick introduction to Presto in general, as well as some of its advanced features. They will show a demo, how it works in practice.