David Sietz

Data as a Service Overview

Github Repo

Should Information Management systems apply the services architecture? Many data provisioning and BI systems are monolithic, tightly coupled, difficult to scale, and stumble when it comes to delivering MVP in a timely manner.

Using Talend Open Studio for DaaS

Github Repo

Data as a Service delivers MVP of real-time data management, while avoiding many of the anit-patterns that traditional data provisioning and BI systems portray. However, building out a Data as a Service system doesn't require high up-front costs and the welding of multiple products. Learn how the open source product Talend Open Studio can be used to build out a DaaS system that delivers faster and more scalable solutions to your customer.

An Introduction to Test Data Generation

Github Repo

Continuous Integration has redefined our testing practices. Testing has become more focused, efficient, and re-positioned further upstream in the development life-cycle. Unfortunately, our testing systems haven't evolved in lock-step - specifically the provisioning of realist test data.

It remains common practice to extract, cleanse and load production data into our non- production environments. This is a lengthy process with serious security concerns, and still doesn't satisfy all our data content requirements.
What if there is a better way of providing realist test data? What if it could be generated on-demand as part of the Continuous Integration process - without the heavy databases and traditional batch jobs?

Adopting the Open Source Model

Github Repo

Open source is growing with leaps and bounds. Even corporations are adopting the open source products and reaping the numerous benefits. But there’s more than the products that need to be adopted – the Open Source Model itself is also highly valuable.