Analytics

When Apple launched its App Store in 2008, it opened a window of opportunity for thousands of software developers who rushed to invent the mobile-first world in which we all live today. Vendors that embraced the new paradigm, such as game developer Imangi, saw breakthrough success.

Simone Clancy, Director of People Strategy at Yellowfin, and Jessica Maree, Program Director at VICT4W, had the opportunity to interview each other about leadership and mentoring, and share some valuable lessons they've learned.

BigQuery is capable of some truly impressive feats, be it scanning billions of rows based on a regular expression, joining large tables, or completing complex ETL tasks with just a SQL query. One advantage of BigQuery (and SQL in general), is it’s declarative nature. Your SQL indicates your requirements, but the system is responsible for figuring out how to satisfy that request. However, this approach also has its flaws - namely the problem of understanding intent.

To celebrate GitLab’s latest release and GitLab Commit 2021 we offer free cycle time readout of all of your personal and company projects hosted on GitLab.com for a limited time. Use this link and your GitLab credentials to sign into Logilica Insights and we let you know about your software teams cycle time, delivery velocity and much more.

A company is entitled to use session recording or session replaying as long as their marketing and analytics needs require so. However, as enticing the recording of everything the user does at all times can be, even within the existing regulations, there is a high chance that doing so will quickly push the data towards a non-compliant realm. And even in cases where regulations may not be explicit on the matter, we see more and more how the industry is leaning towards discouraging these practices.

Building a REST API? There’s a few things you’ll need to know before you get started. In this article, we break down the basics of REST APIs and tell you how they’re delivered, and what you need to do to create one.

As your data operations evolve, they become messier. Diverse data sources and data models at their sources, multiple movements of data throughout your platform, and cobbled-up infrastructure, which has grown in complexity through every deployment have made it hard to identify, trace, classify, and understand your data assets. This can be as simple as an analyst spending hours trying to figure out where a data attribute in a table came from and whether it is trustworthy.

“More than 15 billion IoT devices will connect to the enterprise infrastructure by 2029.” Finding data is not going to be a challenge, clearly, but taking advantage of it all to drive business outcomes will be. Combining AI and machine learning (ML) with data collection and processing capabilities of the edge and the cloud may hold the answer.

Both businesses and governments have been forced to respond to the global pandemic by developing interactive user experiences and spatial applications using location-based data sets to visualize COVID cases, communicate confinement measures, and track vaccine rollout progress.