Data is core to decision making today and organizations often turn to the cloud to build modern data apps for faster access to valuable insights. With cloud operating models, decision making can be accelerated, leading to competitive advantages and increased revenue. Can you achieve similar outcomes with your on-premises data platform? You absolutely can.

When it comes to choosing a business intelligence (BI) solution vendor for your business, there are a variety of factors to consider. One important area of comparison is the natural language query (NLQ) features offered by different BI vendors. NLQ is increasingly becoming a key capability of the modern self-service analytics experience, as it allows users to ask complex questions of their data, and receive insightful answers in the form of a pre-generated, best practice data visualizations.

Chances are high that you've previously worked with Express, as it's been the go-to web framework for Node.js developers since its release in 2010. However, in recent years, newer web frameworks have emerged, and Express's development has slowed down significantly. Fastify is a relatively new player on the scene, but it's quickly gaining popularity due to its speed and unique features. If you're still using Express, you might wonder if it's worth switching to Fastify.

A clean test script is a good test script. But a well-maintained test script is the best. And while developers work hard to add/update application features, it is the well-maintained test scripts that pick out tiny mistakes that slip into the code. You can turn to automation testing to fix the mistakes in the software, but what if the test cases themselves are wrong? maintenance Testing helps here. It keeps the tests up to date, ensures AUT quality, and increases overall test coverage.

Practical advice for starting your journey to analytics excellence.

When writing your test automation scripts, it can be especially difficult to write code that adequately identifies visual defects. Typical functional tests do a poor job capturing all visual changes and they also leave you with lengthy and flaky code. And when your code becomes flaky, it becomes unreliable.

PHP is a popular server-side programming language used to build dynamic websites and applications. With the release of PHP 8.0, there are several exciting new features that developers can take advantage of to improve their code and make it more efficient. One such feature is named arguments, which allows developers to specify function arguments by name rather than just by position.

When you use different kinds of databases, there would be a need to migrate data between them frequently. A specific use case that often comes up is the transfer of data from your transactional database to your data warehouse such as transfer/copy data from DynamoDB to Redshift. This article introduces you to AWS DynamoDB and Redshift. It also provides 4 methods (with detailed instructions) that you can use to migrate data from AWS DynamoDB to Redshift.

In my previous post on scaling Kong deployments with and without a database, we covered the concepts of deploying Kong with and without a database, as well as using decK, distributed, and hybrid deployments. In this article, we take a tour of some of the possible Kubernetes deployments of Kong. Kubernetes (K8s) is the container orchestration war winner. While there are still deployments using other engines, we see K8s far more.