Developing high-quality apps involves pressure to make tradeoffs on speed, quality, and features to meet deadlines for release. This tension between speed and quality comes to a head with QA: you need a functional product but can’t afford weeks of turnaround time. You can’t skip QA: the true cost of software bugs – the direct cost of mitigating the defects and the indirect cost of decreased consumer trust – is extraordinary.

Big Data started as a replacement for data warehouses. The Big Data vendors are loath to mention this fact today. But if you were around in the early days of Big Data, one of the central topics discussed was — if you have Big Data do you need a data warehouse? From a marketing standpoint, Big Data was sold as a replacement for a data warehouse. With Big Data, you were free from all that messy stuff that data warehouse architects were doing.

There are many embedded systems out there, but only a few static code analysis tools that realistically support embedded software developers. The recent acquisition of Micro Focus by OpenText, including the Fortify Static Code Analyzer, reignites the question of which static code analysis tool is best for your embedded software project. Between Fortify and Klocwork, our experts have the answer.

One major reason for digging into API and product analytics is to be able to easily identify trends in the data. Of course, trends can be very tough to see when looking at something like raw API call logs but can be much easier when looking at a chart aimed at easily allowing you to visualize trends. Enter the Time Series chart.

In this post I'll explain how to use a cloud pubsub service such as Ably to visualize the progress of a serverless workflow in realtime. You'll learn.

JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages (C, C++, JavaScript, and so on). These properties make JSON an ideal data-interchange language.

In this blog post, we’ll be taking a closer look at Hyper-Datasets, which are essentially a supercharged version of Clear-ML Data.

Data modeling is the process of organizing your data into a structure, to make it more accessible and useful. Essentially, you’re deciding how the data will move in and out of your database, and mapping the data so that it remains clean and consistent. ThoughtSpot can take advantage of many kinds of data models, as well as modeling languages. Since you know your data best, it’s usually a good idea to spend some time customizing the modeling settings.

Chris Tozzi reviews the most popular JavaScript test automation frameworks and presents several things to consider as you select the best option for you and your organization. JavaScript consistently ranks as the world’s most popular programming language among developers. It should come as no surprise then that a variety of JavaScript test automation frameworks are available to help developers test JavaScript apps.

There is no doubt that CodeIgniter is one of the best PHP frameworks for developing websites. However, before using CodeIgniter for development, every PHP developer should be aware of all the features of CodeIgniter to use it to its full potential. In this article, we will go over all the great features of the CodeIgniter framework in depth. It will help you understand how to use the CodeIgniter best for your development needs.