Systems | Development | Analytics | API | Testing

Integration

How do you do REST integration | Step-by-Step Methodology

When you need two or more applications and services to exchange data between them on a regular basis, REST integration (or REST API integration) is one method that slowly but steadily gains status of the new and preferred standard. But as with any other project where you need to connect apps and web services via API, integrating REST requires good preparation and a solid methodology to avoid project delays, development overhead and too many errors. So, how do you do REST integration the right way?

Blend + Fivetran: How your customer success strategy can benefit from a data strategy

Data plays a crucial role in customer success. Blend's Sebastian Joll (Revenue Operations Leader) and William Tsu (Analytics Engineer, Revenue Operations) share how automating their data stack with Fivetran allows them to provide powerful, business-wide analysis.

Preparing for ERP eCommerce Integration Like a Pro

If you found this article, chances are you already know why you need a solid eCommerce and ERP integration. After all, ERP is kinda of the backbone of any online shop; a master system, if you like, that allows you to effectively handle sales orders and order fulfillments, manage your supply chain and B2B partners, and keep track of the inventory, especially if you sell on multiple channels.

Integration Platforms for E-Commerce Businesses

The Top 5 Takeaways: Maybe your primary focus is online retail. Maybe you just have a small digital store selling merchandise relating to your main business concerns. Whatever the size of your e-commerce venture, integrating your systems and data is vital. You’re probably already dealing with a number of different platforms and SaaS providers, integrating with their APIs and their services to help run your business more smoothly.

What is data integration (with 5 use cases)

Data integration is the data engineering process of combining data from disparate sources into a single unified view of the data. The process begins with data ingestion from different source systems. This includes data extraction from disparate sources, data transformations or cleaning, and loading the data into a single repository - anything from Excel data sets to Enterprise data stores.

Digital Marketing Automation 2022 | Context, Examples, Challenges

The explosion of marketing technology (martech) has been one of the main drivers of marketing’s evolution over the last decade. Just compare: The Chief Marketing Technologist blog has been tracking the industry’s growth for ten years and when it first released its yearly marketing technology landscape overview in 2008, the chart contained roughly 150 tools.