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Digital Transformation


The Psychology of Experiences - An Attempt at Understanding The Lion, The Witch and The Wardrobe

Why do experiences stir a positive or negative emotion? When do many ideas cohesively gel into a larger memory?  How do our feelings mesh together into thoughts about our interactions and as customers or consumers, when do we personify a brand?

In this blog post we are going to explore Branding experiences (BX) and Customer experiences (CX) and how we go about fostering and engaging aspects of the human condition to pave the way towards great User Experiences (UX).

Damon Sanchez by Damon Sanchez

Moving Big data in and around Azure using Azure Data Factory.

There are numerous data storage options available on Azure, each one designed and developed for different modern data storage scenarios. These storage options could be in the form of database, data warehouse, data caches and data lakes. Usage of these depends on the application and the scale that they serve. Within databases, some applications might need relational database, some might need NOSQL, or a key-value storage, or in-memory database (for caching), or blob storage (for media and large files). Another criteria to keep in mind when selecting a database for your application is the required read-write throughput and latency. Azure has a wide array of fully-managed database services which frees up the development teams valuable time in managing, scaling and configuring these databases.

Whatever database you choose, you should also keep in mind how easy or difficult it is to move the data in and out of that database. You might have a situation in future where you need to move to a new database solution because of reasons like change in application architecture, scale, performance, or even cost. Microsoft Azure has a very powerful ETL tool called Azure Data Factory to easily move data in and around Azure at scale. It has over 80 native connectors which can serve both as source and sink.  In this blog, I would like to highlight a few features and concepts of Azure Data Factory which will serve as a quick start guide for anyone looking to do data movement and transformation on Azure.

Siddharth Bhola by Siddharth Bhola

Design patterns are a lifesaver for Extensible Applications.

All of the major programming languages have evolved tremendously over the past decade especially to make the developers job easy. C# by Microsoft has been at the top of the game of adding plethora of easy to use and extremely powerful constructs ranging from async programming to functional programming. The well-developed programming languages have made it extremely easy for beginners to pick up coding and start developing applications quickly.

However, when developing extensible applications for the future, just using the language to write down logic for applications does not do the job well. We have to think about the overall design of the application for it to be able to scale and extend well. This means utilizing appropriate design patterns wherever applicable.

Siddharth Bhola by Siddharth Bhola

ServiceNow Test Management: Accelerate the Management of Testing Processes

Are you looking to streamline your user acceptance testing experience? Look no further than ServiceNow's very own Test Management suite which features a simplified process for executing tests around software development. Furthermore, gain visibility into which test cases are passing versus which tests have defects, and sign off when you're ready for deployment!

Michael Dugan by Michael Dugan

Concurrency + ServiceNow = Success!!

Learn more about how you may achieve business transformation through your partnership with Concurrency and leveraging ServiceNow

Matt Smith by Matt Smith

Terraform 101

A brief introduction to the basics of Terraform

Matt Sidwell by Matt Sidwell