Time-Series has been the fastest growing database category, rated, by DBEngines, for over 2 years; yet, less than 15% store their time-series data in a time-series database. Do you?
One could, accurately, say that time-series data is as old as the universe; but it wasn't until the mid-19th century that the first article was published on the concept: A Comparison of the Fluctuations in the Price of Wheat and in the Cotton and Silk Imports into Great Britain by J. H. Poynting (March 1884).
Time-Series data is so natural and common that you actually consume, evaluate, and utilise it everyday; when you're:
- Paying for your morning coffee
- Sighing at the "Delayed" notice on your commute
- Hugging your coffee mug as you process your email inbox
In this talk we will look at the different types of time-series data and how to use that to drive observations, understanding, and automation.
"All data becomes an order of magnitude more interesting on the time dimension" - Lets see why.
David is a Developer Advocate 🥑 for InfluxData, the company behind InfluxDB.
As a serial user group organiser, Cloud Native advocate, and lover of esoteric programming languages, David is always on the hunt to learn and share knowledge with others in fun and exciting ways.
Doors open 6.15pm
First speaker 7.00pm
Short Break 7.50pm
Second speaker 8.00pm
Post event Drinks - Apothocary 9.00pm
Doors open 6.15pm
First speaker 7.00pm
Short Break 7.50pm
Second speaker 8.00pm
Post event Drinks - Apothocary 9.00pm
Please attempt to get to the venue before 7:00pm as there may be no one to let you in after that.
# Introduction to Time-Series - David McKay
Time-Series has been the fastest growing database category, rated, by DBEngines, for over 2 years; yet, less than 15% store their time-series data in a time-series database. Do you?
One could, accurately, say that time-series data is as old as the universe; but it wasn't until the mid-19th century that the first article was published on the concept: A Comparison of the Fluctuations in the Price of Wheat and in the Cotton and Silk Imports into Great Britain by J. H. Poynting (March 1884).
Time-Series data is so natural and common that you actually consume, evaluate, and utilise it everyday; when you're:
- Paying for your morning coffee
- Sighing at the "Delayed" notice on your commute
- Hugging your coffee mug as you process your email inbox
In this talk we will look at the different types of time-series data and how to use that to drive observations, understanding, and automation.
"All data becomes an order of magnitude more interesting on the time dimension" - Lets see why.
David is a Developer Advocate 🥑 for InfluxData, the company behind InfluxDB.
As a serial user group organiser, Cloud Native advocate, and lover of esoteric programming languages, David is always on the hunt to learn and share knowledge with others in fun and exciting ways.
Kubernetes is more than just the latest buzzword. It is a cloud agnostic way of architecting and deploying your applications.
Major cloud vendors Microsoft Azure, AWS and Google Cloud, provide fully managed Kubernetes container orchestration service. The demand for Kubernetes skills since 2016 has surged to more than 700%. Gaining knowledge and certification can help you get ahead of the curve.
In this talk, we will cover a high-level overview of Kubernetes and share tips and tricks to prepare for Certified Kubernetes Application Developer exam.
Kunal has been working with the scary and exciting world of Cloud and App Dev for a number of years. In his current role as an Application Development Manager at Microsoft, he helps customers with their journey into the cloud. He holds a Master’s degree in Computer Science from the University of Edinburgh and is Certified, Kubernetes Application Developer and Microsoft Azure Solutions Architect Expert.
