The Chief Data Officer is arguably one of the most important roles at a company, particularly those that aspire to be data-driven. CDO appointments and the elevation of data leaders have accelerated in recent years, and the role has morphed as perceptions of data have evolved. Responsibilities span strategy and execution, people and processes, and the technology needed to deliver on the promise of data.
The software development process involves the use of a myriad of tools, languages, and frameworks. Typically, software developers don’t encounter difficulty while writing the code. But what seems challenging to them is how to address various test cases, determine the code to write, and predict the user’s requirements. These difficulties can be alleviated by writing easy-to-understand tests that provide a developer with a set of precise criteria to fulfil.
Once upon a time, development teams battled a widespread problem: gaining access to a stable QA environment. One of the biggest nightmares of a developer is developing a new software or feature that fails to function in the real world. This is where the exposure to the relevant environments where you can extensively test your code before putting them into production works as a boon for you.
In today’s world, being connected anywhere and anytime is the most crucial aspect for anyone, and mobile phones as a device are one of the most critical enablers. With smartphones and internet connectivity, having access to content has become a click away. Purchase decisions and payment modes have been greatly influenced by the mobile landscape, so it has become important for companies to provide a great user experience across platforms and devices, with mobile being the prime device.
Artificial Intelligence (AI) is coming, whether we like it or not. It is likely to transform every aspect of what it means to be human and represents an existential opportunity – or potential threat – to everyone living and yet to be born. Hyperbole aside, ChatGPT software intelligence has been a hot news topic of late. While it has some limitations, to many of us it’s the first real glimpse of AI’s capabilities.
The urllib.error.HTTPError is a class in the Python urllib library that represents an HTTP error. An HTTPError is raised when an HTTP request returns a status code that represents an error, such as 4xx (client error) or 5xx (server error).
Recently, I published a blog on whether self-service BI is attainable, and spoiler alert: it certainly is. Of course, anything of value usually does require a bit of planning, collaboration, and effort. After the article was published, I began having conversations with technical leaders, analysts, and analytics engineers, and the topic of data modeling for self-service analytics came up repeatedly.
“What is a smoke test” is a widely asked question when it comes to software testing. A smoke test is a type of software test that verifies that the most important functions of a program work. It is also known as “Build Verification Testing” or “Build Acceptance Testing”. The goal of smoke testing is to determine if a build is stable enough to proceed with further testing.
Extract, transform, load (ETL) is a critical component of data warehousing, as it enables efficient data transfer between systems. In the current scenario, Python is considered the most popular language for ETL. There are numerous Python-based ETL tools available in the market, which can be used to define data warehouse workflows. However, choosing the right ETL tool or your needs can be a daunting task.
