There are many components to a successful web testing strategy, but one of the most often overlooked is the importance of visual UI testing in addition to functional testing. Most teams will focus on one over the other, but to truly catch as many bugs as possible, you’ll need to incorporate both. First, you need to understand what the difference is and why they’re both needed.

Microsoft Power BI is a ubiquitous and cheap to start with business intelligence (BI) tool that can create a good foundation for analytics capabilities at any company. Similar to Tableau, the objective is to create broad adoption within an organization and replace Excel with a more powerful and structured tool.

Python is a popular programming language known for its simplicity and versatility. It's commonly used for web development, data analysis, and automation. While it's not usually associated with client-side development, it can be useful in scenarios where server-side applications need to exchange data in realtime. This is why we’ve released a new Python Realtime SDK component that enables developers to integrate Ably's realtime functionality into their Python applications.

DBS Bank leverages Unravel to identify inefficiencies across 10,000s of data applications/pipelines and guide individual developers and engineers on how, where, and what to improve—no matter what technology or platform they’re using.

The final iteration of our series on ASCII files; how to combine dbt and Fivetran to integrate ASCII files.

Data warehousing improves access to information, speeds up query-response times, and allows businesses to fetch deeper insights from big data. Previously, companies had to invest a lot in infrastructure to build a data warehouse. The advent of cloud technology has significantly reduced the cost of data warehousing for businesses.

In today's "Big Data" world, data integration is a critical business process. With the exponential growth of information seen in enterprises all over the globe and increasingly competitive marketplaces, there is a real need to consolidate and analyze business data. Big Data is made up of large amounts of information from many sources: customer interactions, Internet of Things (IoT) devices, mobile apps, SaaS cloud services, and more.

Apache Impala and Apache Kudu make a great combination for real-time analytics on streaming data for time series and real-time data warehousing use cases. More than 200 Cloudera customers have implemented Apache Kudu with Apache Spark for ingestion and Apache Impala for real-time BI use cases successfully over the last decade, with thousands of nodes running Apache Kudu.

We are very excited to introduce Tricentis NeoLoad 2023.2! This release underscores our focus and commitment to continuously improving our browser-based performance capabilities with new functionality and additional improvements for RealBrowser.