This blog discusses answers to questions like what is the right disk size in datanode and what is the right capacity for a datanode. A few of our customers have asked us about using dense storage nodes. It is certainly possible to use dense nodes for archival storage because IO bandwidth requirements are usually lower for cold data. However the decision to use denser nodes for hot data must be evaluated carefully as it can have an impact on the performance of the cluster.

Filtering is an underappreciated feature of business intelligence and analytics. Yet filters are critical to data analysis. Filters will probably be the primary method, of all the possible interaction types, that end users utilize. Welcome to part 3 of Yellowfin 9 Fresh Features. If you missed part 2, check out the enhancements to Yellowfin's automated data discovery - Signals. Yellowfin has a rich filter functionality that isn't available in some of the other leading analytics platforms.

Kraken is a load testing IDE based on Gatling. As such, Kraken provides a complete development environment to software programmers and load testers that seek to make the most out of Gatling.

According to IEEE Std 829-1998, Software Testing is defined as “the process of analyzing a software item to detect the differences between existing and required conditions (i.e. defects) and evaluating the features of the software items.” With the advent of new technologies and new software being released every day, software testing is gaining more strength and accolades. Today, testing is imperative and there is no way we can skip it.

We are excited to introduce our newest collaboration with Perfecto — a smart continuous testing platform for web and mobile applications. This brand new integration between Katalon Studio and Perfecto offers the ability to execute web and mobile test scripts against devices or browsers in the Perfecto Cloud and analyze test results from a unified dashboard.

It’s Friday afternoon, the majority of the development staff has already packed up and headed home for the weekend, but you remain to see the latest hotfix through to production. To your dismay, immediately after deployment, queues start backing up and you begin to get alerts from your monitoring system. Something has been broken and all evidence points to an application performance bottleneck.

A really interesting development I’ve seen in the data and analytic space lately is the rise of the data catalog. You may know these by another name such as a semantic or metadata layer, but they’re all fundamentally the same thing. Data catalogs aren’t new, they’ve been around for a long time. While some vendors like Yellowfin and Cognos have always had them, others like Tableau and Qlik are now just getting to them.

Over the course of my career in Financial Services, I have struggled with how few options I really had when it came to delivering the right information, to the right people, at the right time. It sounds sort of ridiculous considering how much time, money and effort the firms, for which I worked, spent on data warehouses, reporting systems, business intelligence tools and advanced analytics.