Systems | Development | Analytics | API | Testing

Dev teams are stacked against an incredibly high bar of software quality, consistent end-UX, and tight release windows. While manual testing remains a cornerstone of quality, leveraging test automation enables enterprises to scale testing and meet demands for coverage and capacity. Low-code test automation provides a great place to start; it circumvents current challenges in talent pools, increases coverage, and iterates quickly.

For many years now, vendors and consultants have avoided the practice of data integration. Integrating data is complex. Systems are often undocumented, which makes searching them difficult. Assumptions must be made in order to understand business decisions from long ago. Data integration requires the proverbial four-letter word no one wants to hear: work. But anything worth doing should involve a bit of sweat and tears, right?

One of the major steps in our 8 Step Guide to Modernizing Your Testing Organization is selecting the right operating model for your testing team. Why? Because this is were you determine how your testing organization will actually run. This is where you’ll establish accountability and communication needed to continue testing innovation and maintain best practices.

Accelerating your software delivery cycle is impossible unless you also accelerate and enhance your approach to software testing. In another article we described the eight steps of the journey to transform your organization into a modern testing organization. This article will focus on defining your test strategy. You’ll learn about the importance of adopting agile practices.

Getting data *into* your database is easy, but querying large datasets is challenging—especially without the right indexes. Pavel Tkachenko teaches how to write performant SQL queries with EXPLAIN and ANALYZE.

The NoCredentialsError is an error encountered when using the Boto3 library to interface with Amazon Web Services (AWS). Specifically, this error is encountered when your AWS credentials are missing, invalid, or cannot be located by your Python script. These credentials are stored by default at ~/.aws/credentials which contains your access key and secret access key for using AWS services, along with other configuration details such as your region code.

With Ashish Khandelwal, Mainframe Modernization Engineer at Microsoft, Mukesh Kumar, Principle Group Engineering Architecture Manager at Microsoft, and Tom Griggs, Global Partner Senior Manager at Qlik

The sequel to "How to measure the success of data teams," in which Montreal Analytics explains how to evaluate the performance of individual contributors in a data team.

Learn how Fivetran is addressing your high-volume database replication needs with our newest High Volume Agent connector for SQL Server.

Python is insanely popular among machine learning enthusiasts these days. Hence, anyone developing a machine learning model normally turns to Python. The real challenge arises at the deployment stage because you can use many frameworks. Figuring out which Python framework to use may add to the confusion. This post discusses two popular machine learning frameworks, Flask and Django. We’ll also compare them side by side, so that you can make the right choice.