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.
Sometimes you may want to limit the amount of analytics data coming into Moesif. This could be because you want to exclude specific traffic, such as internal or health check traffic, or you may want to reduce unnecessary data to control cost. Dynamic Sampling, available to customers on our Enterprise plan, was built to do just this. Dynamic Sampling lets you control which API calls are logged to Moesif based on customer or API behavior.
