2022 was without a doubt a landmark year for business intelligence (BI) and analytics. With continued development of innovative and sophisticated technologies such as contextual analytics, analysis of our business data is more accessible than ever before. Many of these same trends will continue to grow into 2023, but the data analytics space is ever evolving.

When creating iOS or Android apps, you go through the beta testing stage, often done after alpha testing. Consider this a soft launch for your app, allowing your beta testers to try it and provide feedback on what needs improving and what you can remove. Beta testing apps gain real-world experience and learn how your app will operate when used by actual people.

Snowflake customers leverage the Data Cloud to bring all their data together and capitalize on the near-infinite resources of the cloud. But how can this data be used to look ahead? How can we use yesterday’s evidence to plan for tomorrow? The answer—time series forecasting. Time series forecasting is one of the most applied data science techniques in business. It is used extensively in supply chain management, inventory planning, and finance.

Do you know how much data your company stores? Do you know the types of data being utilized for any given purpose? Can you picture how data flows from one system to another? The goal of data modeling is to help you understand aspects like these. By giving you a visual representation of data within your systems, data modeling tools help you better store, manage, and utilize your data by optimizing the underlying architecture.

As organizations look to scale up and improve the business value of their growing data volumes, certain data trends have garnered the attention of data and business professionals alike. With this growth promising to continue in the upcoming year, data leaders are looking to implement tools to enrich their organization’s data like never before. Here are seven trends you can watch for in the new year.

Now that 2022 is over, its time to review newsworthy topics about performance in the PHP language. As this is the first time we are doing this type of blog post, please let us know your thoughts about this format and if we forgot important topics.

PHP’s dynamism has certainly created a niche for it among the languages in the programming world. The ability to create cross-platform applications and compatibility with nearly, all the modern servers tops its open-sourceness, making it all the more desirable. PHP scripts can easily be inserted into HTML files, allowing developers to transform static website code into dynamic front-end applications.

When it comes to creating a high-quality application or software, there are many testing methods leveraged by testers to ensure the application or software meets the best possible quality standards. Each testing method covers different functional and non-functional areas, such as performance, usability, compatibility, and security. System Testing and End to End Testing are the two popular types of software testing.

Go, also known as Golang, is a popular programming language that is performant and easy to learn. Go is known as a great language for building scalable and high-performance web applications. One key area where Go shines is in building REST APIs, which are essential for enabling communication between different systems and devices over the web.

PHP (Hypertext Preprocessor) is a programming language that is primarily used for web development. It is a server-side language, which means that it is executed on the server rather than in the user’s web browser. PHP is often used in combination with HTML, CSS, and JavaScript to create dynamic and interactive websites. One of the main advantages of PHP is that it is easy to learn and use, making it a popular choice for web developers of all skill levels.