How cloud computing, the Python stack, data warehouses, and the growth of SaaS platforms are poised to change the face of data integration. — Cloud computing, big data, machine learning, data lakes, data warehouses — no doubt, if you’ve been following the tech world you’ve heard these buzz words. These trends and the resulting technologies have changed the world and are continuing to unearth new opportunities for innovation.

The tools that make creating data integration pipelines easier than ever for B2B developers — If you’re a B2B developer building a new product one of the earliest and most fundamental decisions in the product development phase is How the heck will I get customer data into the product? Whether you’re building: accounting software that needs to pull invoices from NetSuite, Intuit Quickbooks, or Sage…

Building a lightweight Quickbooks data integration pipeline using Python — If you’re a B2B developer building a product, one of the earliest product development phases is creating a data integration pipeline to import customer data. In this article, I’ll show you how to leverage Singer’s tap-quickbooks to extract data from Quickbooks. From there I’ll walk you through how to parse…

Building a lightweight Salesforce data integration pipeline using Python — If you’re a B2B developer building a product, one of the earliest product development phases is creating a data integration pipeline to import customer data. In this article, I’ll show you how to leverage Singer’s tap-salesforce to extract data from Salesforce. From there I’ll walk you through how to parse…

The growing debate over the viability of building on open source Singer taps — Singer is an open-source standard for writing scripts that move data built by the folks over at Stitch. The open source project was introduced by Stitch to make the process of creating data integration “connectors” more standardized and easy — an attractive pull for developers. In fact, both closed source…