Systems | Development | Analytics | API | Testing

For something as complex as software development, there can be no “right” way of doing things all the time. Each project has its own set of variables, challenges, and idiosyncrasies. And every developer has a preferred way of working, which makes it difficult to set any hard and fast rules. But this doesn’t mean you should dive into your development projects head first, without guidelines or a methodology—albeit a flexible one—to inform the way forward.

Encapsulation is one of the fundamental concepts in object-oriented programming (OOP). Let’s examine how it’s done and unwrap some examples for this concept. By definition, encapsulation describes the idea of bundling data and methods that work on that data within one unit, like a class in Java. This concept is also often used to hide the internal representation, or state of an object from the outside. This is called information hiding. The general idea of this mechanism is simple.

The aim of your website is obviously to get potential customers to engage with it as much as possible, and ultimately, make a purchase. But as we well know, it isn’t as simple as someone landing on your website and instantly converting. 9 times out of 10, there’s a whole sequence of actions that take place before a customer makes a purchase. The best thing?

If you own an e-commerce website, you need to remain competitive and increase your capabilities in the process. One of the latest and greatest solutions right now is to harness the power of reverse ETL. The abbreviation ETL stands for Extract, Transform, Load, and is one of the best ways to connect business apps and platforms. This ETL tool offers multiple opportunities to transfer your securely stored customer data from the modern data warehouse to multiple other apps and platforms.

When AI came on the scene in analytics, Qlik took a very different approach than ‘black box’ tools. We felt strongly that AI should be utilized to enhance human intuition, instead of replacing it. And of course, the term augmented analytics is now well known. That’s not a coincidence.

What is an SEM report and how do you create one? Which KPIs do you need to include in it? Here’s everything you need to know.

Here’s a story about a developer surviving in a world of APIs, Kubernetes and rapid application modernization. Meet Josh (a pseudonym). Josh is your typical developer. He’s good at writing code in his native language, hates documentation and REALLY hates the “drag and drop” approach to developing software found in bloated API management platforms. Josh would rather write code, weave in some docs and avoid worrying about security, networking, deployment and reliability.

Today we’re announcing a public preview for the BigQuery native JSON data type, a capability which brings support for storing and analyzing semi-structured data in BigQuery. With this new JSON storage type and advanced JSON features like JSON dot notation support, adaptable data type changes, and new JSON functions, semi-structured data in BigQuery is now intuitive to use and query in its native format.

In 2021, many organizations on a digital transformation journey sought cloud-native data management and analytics solutions that could facilitate search and analytics on their data in the cloud. Many of them are already running on the AWS cloud, so naturally, they turned to the AWS Partner Network to find technologies that could easily plug into their cloud stack, solve tactical pains, and deliver value quickly.

With the amount of data being created yearly reaching in the dozens of zettabytes and growing rapidly from year to year, companies have had to find creative solutions to manage big data. That is why loading terabytes of data in minutes or seconds for processing may be absolutely necessary for some businesses. This is the kind of speed and functionality that BigQuery gives. So, what is BigQuery? The Google Cloud suite offers a wide variety of services for every industry.