Systems | Development | Analytics | API | Testing

CDP Private Cloud Base is an on-premises version of Cloudera Data Platform (CDP). This new product combines the best of Cloudera Enterprise Data Hub and Hortonworks Data Platform Enterprise along with new features and enhancements across the stack. This unified distribution is a scalable and customizable platform where you can securely run many types of workloads. CDP is an easy, fast, and secure enterprise analytics and management platform with the following capabilities.

We recently wrote about the interest we’re seeing in connected applications that are built on Snowflake. Connected applications separate code and data such that the app provider creates and maintains the application code, while their customers manage their own data and provide their data platform for processing the application’s data. Some of our partners choose the connected application model because it has benefits for both customers and application providers.

Following the recent GA of Snowpark for our customers on AWS, we’re happy to announce that Snowpark Scala stored procedures are now available in preview to all customers on all clouds. Snowpark provides a language-integrated way to build and run data pipelines using powerful abstractions like DataFrames. With Snowpark, you write a client-side program to describe the pipeline you want to run, and all of the heavy lifting is pushed right into Snowflake’s elastic compute engine.

This post is going to be a bit of a step back into the past. As Mork from Ork would say: “nanu nanu.”

Here’s one of the most memorable quotes I have heard from a customer here in Asia: “Every time they tell me it’s ‘not in the universe’, I feel like mine is collapsing.”

Google Data Studio is a beautiful visualization tool that turns your data into compelling story-telling reports. But before you can visualize your data, you have to collect it, clean it, and validate it. This is where Keboola comes in. Keboola is the Data Stack as a Service (DaaS) platform that helps you with all your data operations - from building and automating ETL pipelines to data governance.

When it comes to writing and testing software, teams have a lot of alternatives. How do you know what syntax to use and which testing solution is best for you? In this post, we'll look at how to utilize Gherkin and Gherkin tests. We'll go through the syntax, how to construct a test, and the benefits and drawbacks.

Developers and Testers use an exception handling framework to handle an exception in Selenium scripts. The diagram below depicts the different types of Exceptions that we commonly face while working with Selenium WebDriver: Before understanding the different types of Exceptions that we may face while working with Selenium WebDriver, I will first explain the term Exception.

Multiple teams at Kong have been improving accessibility (also referred to as a11y) across our products. Over the past few months, our Dev Portal team has been working on accessibility improvements prompted by the needs of our customers. For example, financial services and government institutions are required by law to ensure their software meets certain accessibility standards.

We live in an API-driven economy, where Application Programming Interfaces (APIs) are increasingly being used to open new revenue channels, accelerate time to market and democratize data. Enterprises are constantly striving to build faster, more reliable and easier to use APIs. They understand that every time an API is down, unresponsive or slow enterprises run the risk of losing customers, damaging company reputation and losing revenue. At the same time, API security breaches are at an all-time high.