Data Legends Podcast Episode 9 Part 1, Wes Gelpi
In part 1, listen in as Wes talks through his day-to-day efforts at SAS.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Data Legends Podcast Episode 9 Part 2, Wes Gelpi
In part 2 of our conversation with Wes Gelpi, Director of Research & Development at SAS, we dive into the importance and differences between data lakes, warehouses and virtualization.
Building a Collaborative Culture in Analytics
As companies continuously adapt to shifting data regulations, many have struggled to find a balance between keeping up with lightning-speed regulatory obligations and cultivating organizational success. Uday Kamath, Chief Analytics Officer at Smarsh, expertly navigates the precarious field of data regulations. Serving as a leader of the company’s highly collaborative and productive data and analytics team, Uday offers over 20 years of expertise and experience.
Updates from Bugfender, Q2 2022
We are pleased to say that Bugfender is now officially ISO 27001 certified: our code is developed following Secure Development Life Cycle, the code is reviewed manually and using automated tools, and we perform penetration tests, following the industry’s best practices. We have an incident response process, we perform employee background checks, training, supplier vetting, etc.
Data Legends Podcast Episode 8, Uday Kamath
Hear about Uday’s work as the CAO of Smarsh.
New Resources Reveal Benefits of ChaosSearch for FinTech Log Analytics
FinTech companies disrupt the marketplace and become successful by making it faster, more convenient, and more rewarding for users to save, borrow, or invest money with their applications and services. The financial technology space is fast-paced and competitive, but inherently high-scale - so when a FinTech company achieves strong product-market fit, there’s tremendous potential for it to quickly expand its user base and start experiencing exponential growth.
5 Best Practices for Simplifying Data Management
Businesses have been managing data for decades. Tasks like dealing with data silos, keeping data secure and preparing data to be analyzed are nothing new. What is new, however, is the scale and complexity of data management. The total volume of data that businesses manage is exponentially increasing.
Technical Session on Logging & Kibana | Antino Labs
The Kibana logs is the most unequivocal way of what's going on in the application and debug the performance issues. Large number of generated logs provides a very exuberant experience while navigating. In this session, you are going to get some insights over optimizing the whole process. Why do we log? We request you keep watching the video till end if you really want to gain worthy insights over Logging and Kibana.
Making the World's AWS Bills Less Daunting
Armed with a Ph.D. from UC San Diego, our guest started off with internships at Google and Microsoft before gaining valuable experience as a VP and a highly sought-after consultant for startups and SMBs. Now he’s one of the world’s foremost experts on wrangling vast data sets and maximizing efficiency.
Managing Cloud Service Logs: Why It's Difficult and How to Simplify It
Logs are one of the three key “pillars” of observability, and cloud environments are no exception. You can’t know what’s happening in your cloud without analyzing cloud service logs, which allow you to audit and monitor workflows within your cloud. That said, cloud logging is a unique beast in certain respects.