We take data integrity seriously so your business doesn’t pay the price.

Process isolation is an important pillar of software engineering that can keep your data pipelines (and you) out of trouble.

Sync data incrementally, or watch your pipeline grind to a halt.

The amount of big data generated around the world by the time you finish this page is limitless. Think about it for a second. Companies everywhere will create an innumerable amount of data right now — customer records, sales orders, chain reports, emails, you name it. Companies need all this data for data analytics — the science of modeling raw data to uncover precious real-time insights about their business. It's like opening a treasure trove.

This is part 2 in this blog series. You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight

Xplenty provides features to efficiently extract, transform, and store data from various sources. Chartio provides Visual SQL features that let us explore and analyze data. Furthermore, it includes functionality to arrange charts and metrics in dashboards that can be shared. Both these tools can be used synergically. In this post, we will cover how you to configured Xplenty to use Chartio data. In a subsequent post, we will explain how to visualize the data provided by Xplenty in Chartio.

Learn about the technical challenges involved in building an idempotent data pipeline.

Learn how idempotence protects you from the worst consequences of data integration failures.

A data pipeline is a series of actions that combine data from multiple sources for analysis or visualization. In today’s business landscape, making smarter decisions faster is a critical competitive advantage. Companies desire their employees to make data-driven decisions, but harnessing timely insights from your company’s data can seem like a headache-inducing challenge.