The enterprise data lake: monitoring at scale

When data lakes grow, they grow in size, complexity and inhabitants - creating complex dependencies across wide ranges of Azure services and different teams. Creating a true operations challenge: how do you find and respond to incidents, and who should respond?

During this session, we’ll look at how to monitor across the boundaries of Azure services and development teams that together make the ecosystem of the data lake. Aided by the Four Golden Signals and Azure Monitor capabilities we’ll create the blueprint for effective monitoring and incident handling. No matter how big the lake.

Martijn Beenker

Martijn Beenker

data engineer @ Avanade

Other sessions from: Sessions

Building your personal online brand using Static Blazor Apps, one step at a time.

Building your personal online brand using Static Blazor Apps, one step at a time.

We're told that by using services such as Medium, dev.to etc that we are...

Stacy Cashmore Stacy Cashmore
Adding value to your customers, Azure beyond infrastructure management

Adding value to your customers, Azure beyond infrastructure management

Providing managed services is not simply looking after the infrastructure....

Wesley Haakman Wesley Haakman
“Getting rid of silo’s!”, “…embracing the MLOps…”, “….democratize data…”, it all sounds very catchy but how do you actually do it?

“Getting rid of silo’s!”, “…embracing the MLOps…”, “….democratize data…”, it all sounds very catchy but how do you actually do it?

Having come across of many examples, especially within the financial sector...

Frank Buters Frank Buters
All about Azure Network Securities

All about Azure Network Securities

In this session am going to explain how to implement network securities in...

Menaka Baskerpillai Menaka Baskerpillai
Deploying Windows 10 Enterprise multi-session with Azure DevOps, Terraform and Packer

Deploying Windows 10 Enterprise multi-session with Azure DevOps, Terraform and Packer

DevOps, Scrum, infrastructure-as-code, AVD, and cloud: what do they mean to...

Patrick van den Born Patrick van den Born
Rick Stijnman Rick Stijnman
Solving real world problems using ML.Net and Azure IoT edge

Solving real world problems using ML.Net and Azure IoT edge

Life is strange for IoT devices. They are 'born' in the outside world all...

Sander van de Velde Sander van de Velde