Build Stuff 2018

Whether you realize it or not, we are currently entering the era of artificial intelligence. AI technologies will radically transform our economy, our society, and our lives. As a result, the software industry is preparing for a major transition as well. However, most developers do not yet possess the skills necessary to remain relevant in our new data-driven economy.
In this session, we will learn about modern artificial intelligence. We'll learn why it’s important and how it will impact you, your career, and our future. We’ll also learn how a series of modern technologies including The Internet of Things, Big Data, and machine learning are combining to create fully autonomous intelligent systems.

Research company Gartner predicts that more than 20B connected devices will be used worldwide by 2020. Protecting and securing IoT devices starts with device identification.

How advanced device identification helps to protect smart homes? How to use the latest cloud technology and innovative machine learning algorithms to secure connected homes? How to scale to 15M households, 100M devices worldwide in one year?

Santeri Kangas shares his insights about running an agile organization that managed to secure the router while deploying the private cloud effectively.

ETL pipelines ingest data from a variety of sources and must handle incorrect, incomplete or inconsistent records and produce curated, consistent data that delivers invaluable insight into the customers behaviour
 
In this talk Sam Elamin will relate his real life experience in building robust data processing pipelines powered by Spark that balances the considerations of extreme performance, speed of development, and cost of maintenance.

Sam will walk through building a Datalake using best practice patterns and running hundreds of jobs in parallel using open source tools including Apache Spark, Apache Airflow and Presto that underline systems which are dealing with £100,000 worth of transactions every hour, and more importantly will also highlight the pitfalls to avoid while providing scalable and reliable big data solutions

If you are curious about becoming a data engineer or fancy a move to big data then this is the talk for you!

That thing that happens when your company is scaling so fast you have to replace your infrastructure within weeks or the whole thing crashes. This is what happened to our customer, and this is the story of how we replaced good-ol' SQL with streams and batch processing technologies on AWS.
Using Terraform, Packer, Elasticsearch, AWS Kinesis, Lambda and EMR we were able to provide a truly scalable solution in a matter of weeks, without hurting production and while dealing with a huge scale.
In this talk we will quickly go through the design phase, the various stake holders and how we improved their usage of the system, and introduce the tools that helped us make this happen.