Systems | Development | Analytics | API | Testing

Ep. 6: Nick Patrick, CEO of Radar On today’s episode we have Nick Patrick, the CEO of API-first location platform company Radar. Nick cut his teeth in PM roles at Microsoft, Foursquare and Handy, before starting Radar in 2016. As cofounder and leader of Radar, Nick shares his experience on how to fuel growth, choose your partners, ship products faster & with confidence, and many more invaluable perspectives for professionals in the API platform ecosystem.

The realm of computing is endlessly vast, and programmers can utilize numerous programming languages that facilitate logging. Novice programmers often wonder, why is Python considered the ideal language to learn logging?

During data analysis in SQL, one will often need to look at multiple tables and join them to get the desired results. Joining tables for analyzing data is a required skill for a data scientist or data engineer. Selecting the right join will optimize query performance.

If you know nothing about your customers’ experience with your website, Google Lighthouse might be the right tool for you. Google Lighthouse is an open source automated website auditing tool from Google, used for discovering issues and opportunities to improve the overall user experience of your website.

A memory leak in an application deployed on the cloud can affect the availability and reliability of the application. Therefore, it is highly important to identify and ultimately resolve it quickly. However, in the production environment running on the cloud, memory leak detection is a challenge without the knowledge of the application or its internal object allocation details.

The main differences between Alooma, MuleSoft, and Xplenty: Data-driven organizations pull data from multiple locations such as in-house databases, SaaS, and cloud-based apps, making it difficult to determine accurate business insights. Moving all this information into a single location makes data analytics easier. This is where Extract, Transform, and Load (ETL) comes in.

It’s no secret that businesses are undergoing a dramatic digital acceleration during the pandemic. A recent Gartner CFO Survey characterizes this acceleration as “from the pace of a multi-year marathon to a 12-month sprint,” while a McKinsey survey estimates that organizations have shortened the digitization of their customer and supply-chain interactions by three to four years. Lagging behind in turning data into answers is no longer an option.

2020 was quite a year of innovation for Qlik analytics. We delivered key new augmented analytics capabilities with big updates to Insight Advisor, we integrated intelligent alerts fully into Qlik Sense in less than a year, we continued to expand our visualization capabilities to make it easier to showcase your data in exciting and compelling ways, and we made it even easier to execute analytics in the cloud.

2020 was quite a year of innovation for Qlik analytics. We delivered key new augmented analytics capabilities with big updates to Insight Advisor, we integrated intelligent alerts fully into Qlik Sense in less than a year, we continued to expand our visualization capabilities to make it easier to showcase your data in exciting and compelling ways, and we made it even easier to execute analytics in the cloud.