In today’s age of technology, the processing of seismic data requires powerful computers, talented researchers, software, and skills. For the Oil and Gas Industry, its paramount to making strategic business decisions. Seismic data accurately helps to plan for wells, reduce the need for further exploration, and minimizes the impact on the environment.

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.

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.

For public universities, metrics such as retention rate and graduation rate are important indicators for standing out in the competitive landscape. These success metrics are paramount to bringing in more students, making them successful, and continuing to grow a strong alumni network.

For Keboola, 2019 was a year of growing—and growing up. We evolved a lot, on both the business and product sides. In this blog, I want to give a quick overview of the changes, as well as give you some indication of what to expect from us in the next 6 months. Many of those improvements were inspired or directly driven by our users - there is a “wishlist” button available for everyone right in the Keboola Connection UI.

Here’s part 2 of ‘Fresh Features’ of Yellowfin 9. And this week, we’re looking at Signals. Signals is Yellowfin’s unique and powerful automated data discovery product. It will automatically scan your dimensional data and find any significant changes in your data. Then, it automatically sends you an alert, complete with analysis and correlations to help you take swift action to nip issues in the bud or build on successes.