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Agile: Optimise for velocity over predictability
When it comes to agile estimation, quite often agile teams spend a big chunk of their time in …
Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge
Recently I was asked about content management systems (CMS) of the future - more specifically how …
Friends don't let friends build data pipelines
Building data pipelines can offer strategic advantages to the business. It can be used to power new …
Why engaged teams are not always the best performers?
The assumption that engagement is somehow strongly correlated with performance is misplaced. …

ETL Workflow Modeling
Developing Extract–transform–load (ETL) workflow is a time-consuming activity yet a very important …
10 open-source Kubernetes tools for highly effective SRE and Ops Teams
If you are running workloads in Kubernetes, your site reliability engineering (SRE) and operations …
5 data integration trends that will define the future of ETL in 2018
ETL refers to extract, transform, load and it is generally used for data warehousing and data …
Kubernetes for Big Data Workloads
Kubernetes has emerged as go to container orchestration platform for data engineering teams. …
Getting started with Conduit - lightweight service mesh for Kubernetes
On this blog from very early on, we have advocated the concept of service mesh. In fact, our post a …