Posts Tagged ‘Azure’

Azure Data Factory is a strong ETL tool, with the capacity of creating ETL pipelines using low code/no code approach. This can be achieved with using “Activities”. Activities are the tasks that are conducted on data within a pipeline. In this post I demonstrate an ETL process which copies data from one source to another, […]

Welcome back to my series on DevOps Best Practices related to Sitecore Headless implementations. In Part 2 we are going to create the build pipelines for our Sitecore and Next.js solutions and see how they can be included in the PR process. If you haven’t checked-out Part 1 yet, I recommend doing so before continuing […]

Sitecore is capable of serving traffic from multiple regions from your cloud provider of choice. Why bother though? It’s a good question because Sitecore in multiple regions is more complex, more expensive to host and more work to maintain. If your organization is using Sitecore XP to its fullest (although there are other options today), […]

In my last post on the Application Modernization Journey, we discussed the three questions organizations should ask before starting App Modernization Programs: the “Why, How, and What”. App Modernization Programs help us to realize the benefits when they are executed well keeping the “Why” in target during every phase of the program. In this post, […]

Welcome to my series on DevOps Best Practices related to Sitecore Headless implementations. In Part 1 we will do a review of Git DMZ Flow and see how to implement the principals in Azure DevOps.   What is Sitecore Headless?  Before we dive into the technical details, let’s align on what Sitecore Headless is. Sitecore […]

Sitecore Headless (formerly JSS) has been around for several years now but with its recent promotion in the Sitecore 10 releases, it is generating more buzz than ever. So as customers begin to evaluate this “new” model and more choose to adopt it, we need to begin defining standards for implementation. This series will outline […]

The Azure Well-Architected Framework was introduced in July of 2020 to help manage the growing complexity of the cloud. The framework consists of five pillars of architectural excellence: Reliability Security Cost Optimization Operational Excellence Performance Efficiency The pillars of the framework can rarely be implemented individually. As you continue to grow the functional capability of […]

Application modernization is a growing area of focus for enterprises, especially in the wake of the COVID-19 pandemic. Why? Because business leaders feel increasing pressure to drive innovation. Digital trends, remote work, and escalating customer expectations are among the reasons. No industry is immune to these dynamics. Businesses must evolve to succeed, which is why […]

What is an OpenAPI Document ? According to Swagger – OpenAPI Document is a document (or set of documents) that defines or describes an API. An OpenAPI definition uses and conforms to the OpenAPI Specification. “The OpenAPI Specification (OAS) defines a standard, language-agnostic interface to RESTful APIs which allows both humans and computers to discover […]

Application modernization continues to be critical for digital transformation. Perficient is committed to meeting the demands of our customers’ cloud needs with highly skilled and specialized partnerships. We are proud to announce that Perficient has achieved Advanced Specialization in the Modernization of Web Applications to Azure. This formally recognizes Perficient as a leading partner in […]

Overview of Modern Data warehouse:   Data warehouse nowadays will gather data from multiple data stores, including IOT, social networks, web APIs, files, and multiple corporate systems such as your CRM, HR application, and ERP systems.   A lot of value and insights can be discovered by cross referencing this data instead of keeping those in silos. For […]

Why Azure Data Factory? Nowadays, the data our customer’s applications generate is increasingly exponential, especially if data is coming from several different products. Organizations have data of several types located in the cloud and on-premises, in structured, unstructured, and semi-structured formats all arriving at different time-frequency and speeds. It will be a critical task to […]