On February 6-7, I will be presenting Understanding Azure Data Factory: The What, When, and Why at NIC 2020 in Oslo 🥳
NIC 2020 is a brand new event for me, both as an attendee and speaker. It takes place in Oslo Spektrum, one of Norway’s largest indoor arenas. When I hear Oslo Spektrum, I think of concerts, so I’m very excited to see what it’s like to attend a conference there! I really have no idea what to expect at this event, and that’s fun 🤓
NIC 2020 Schedule
NIC is short for Nordic Infrastructure Conference, so it’s not my typical data conference. However, I will do my best to make my session even more relevant to this audience. I want to add a few more slides about where Azure Data Factory fits into architectures and solutions, for example. I’ll do some brainstorming. Hmm. Challenge accepted!
Understanding Azure Data Factory: The What, When, and Why
What is at the core of every Business Intelligence, Data Science, and Machine Learning project?
You need data to understand what has happened in the past, to predict what may happen in the future, to discover patterns and anomalies, and to gain the insight necessary for making faster and better decisions.
But before you can do any of those things, you need to collect, store, transform, integrate, and prepare your data. Azure Data Factory (ADF) is a service that enables you to quickly and efficiently create automated data pipelines – without having to write any code!
In this session, we will go through the fundamentals of Azure Data Factory and see how easy it is to build solutions that can work with all your data on-premises and in the cloud. We will explore some key features such as Mapping Data Flows for visual data transformations and Wrangling Data Flows for visual data preparation, as well as how to schedule and orchestrate your finished data pipelines. Throughout the session, we will discuss different use cases and scenarios, as well as when and why you should use Azure Data Factory for your projects.
In addition to speaking, I’m looking forward to enjoying the rest of the conference as an attendee. I have a few sessions on my list already! Some sessions cover topics I want to learn more about but aren’t usually covered at data events. Other sessions are by speakers I haven’t watched present before. There’s always something to learn, either from their content or from their presentation style!
- Managing your Azure infrastructure using Terraform by Jan Egil Ring (@JanEgilRing)
- A year after moving all our infrastructure to Azure by Maria Hermansen
- Lab as Code – Automate your lab deployments with ease by Jan-Hendrik Peters (@NyanHP)
- Auditing Azure – Compliance, Oversight, Governance, and Protection by Aidan Finn (@joe_elway)
- Unleash the hidden power: Demystifying Azure Resource Manager and ARM templates by Sasha Kranjac (@SasaKranjac)
- Explore adventures in the Underland: Forensic techniques against hackers evading the hook by Paula Januszkiewicz (@PaulaCqure)
- Cloud design principles: How to do Azure architecture the right way by Sasha Kranjac (@SasaKranjac)
- Building an empire – implementing Power BI step by step by Alexander Arvidsson (@arcticdba)
- Succeed with Microsoft Teams as a leader by Ulrika Hedlund (@ulrikahedlund)
- Azure serverless for IT Pros by Martin Ehrnst (@ehrnst)
See you there?
See you in Oslo Spektrum! 🤓