Running an eCommerce without analytics is like driving a car blindfolded. Sure, you will go places, but one wrong stir and you might crash. In this article, we look at the best eCommerce analytic tools that help you run your online shop in 2021. This will not be your usual listicle.

Given I am a Business Analyst When I need to collaborate with my development team Then I should use BDD to create a shared understanding We recently ran a webinar for Business Analysts (BAs) to understand how Behavior-Driven Development (BDD) can help their team’s software development process.

Custom Date Ranges (CDR) in Databox allow you to track your performance over a specific time period by simply selecting a start and end date.

Kuma is an open source, CNCF service mesh that supports every environment, including Kubernetes and virtual machines. In this Kuma service mesh tutorial, I will show you how easy it is to get started.

Leading customer success for developer-first or API-first businesses is quite different from traditional enterprise software. The best API products are designed to be self-serve and hands-off, meaning customers rarely need to sign into a web portal once implementation is done. If you’re a Stripe or Twilio customer, when’s the last time you signed into their web portal? Hopefully not recently, otherwise that may imply a problem or issue.

Many people think of Cloud Run just as a way of hosting websites. Cloud Run is great at that, but there's so much more you can do with it. Here we'll explore how you can use Cloud Run and BigQuery together to create an inventory management system. I'm using a subset of the Iowa Liquor Control Board data set to create a smaller inventory file for my fictional store. In my inventory management scenario we get a csv file dropped into Cloud Storage to bulk load new inventory.

Five major differences between Alteryx and Xplenty: Alteryx Analytics and Xplenty both offer no-code/low-code ETL solutions that simplify the process of extracting, transforming, and loading data. Nevertheless, there are distinct differences between Alteryx and Xplenty that could affect your decision to choose one over the other.

The growth of data has been exponential. By 2023, it's anticipated that approximately 463 exabytes (EB) will be created every day. To put this into perspective, one exabyte is a unit equivalent to 1 billion gigabytes. By 2021, 320 billion emails will be sent daily, many of which contain personal information. Data collected around the globe contains the type of information that businesses leverage to make more informed decisions.

Building a data lake in Amazon S3 using AWS Spectrum to query the data from a Redshift cluster is a common practice. However, when it comes to boosting performance, there are some tricks that are worth learning. One of those is using data in Parquet format, which Redshift considers a best practice. Here's how to use Parquet format with Xplenty for the best data lake performance.

Developers, engineers, and anyone else looking to streamline development and decrease build times for integrations rely on APIs (application programming interface) to enable applications and databases to communicate. This inevitably leads to a comparison between SOAP and REST APIs, since they are two of the most common API paradigms. It can be quite difficult to understand where SOAP and REST methods are best suited, what their specific differences are and why developers prefer one method over the other.