Data science is a rapidly evolving field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. As the volume, variety, and velocity of data continue to grow, data scientists need sophisticated tools to handle and analyze this data. What is Data Science? Data Science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It involves the application of various techniques such as statistics, mathematics, computer ..read more

Data engineering is fascinating, if not fulfilling career. You are at the helm of every business operation that requires data, and as long as users generate data, businesses will always need data engineers. In other words, job security is guaranteed. BUT, with such great power comes great responsibility. The journey to becoming a successful data engineer is a tricky terrain that you need to navigate and get it right from the start. In this short and to the point article, we walk you through the entire process of becoming a data engineer, helping you dodge the common pitfalls and get it right ..read more

Sci-fi novels and television shows predicted the invention of self-driving cars, robot butlers, and self-lacing shoes, but without data science, these products would remain fiction. But data science is capable of much more than that.  In fact, it touches every aspect of modern life. A Brief Overview of Data Science  Data science began in the 1960s as a branch of computer science, but the term “data scientist” wasn’t coined until the late 2000s. Since the 1990s, data scientists have been collecting user data, but it wasn’t until the early 2010s that it was used to make sales and new ..read more

The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2026, According Statista. Big Data is a term that is used to describe the large and ever-growing volumes of data that is being created. Now Companies are using Big Data to make better decisions and to improve their operations, system efficiency. There are several ways to collect and use Big Data. Some of the most common methods include data mining, data analytics, and data visualization.  All organizations are using Big Data in every indu ..read more

Image Credit – SQLWatchmen Developers and programmers are likely familiar with it. Is that the case, then why are you even here? And for those who have heard of it but don’t know what it is, let me enlighten you: SQL is short for Structured Query Language. Information stored in databases (really just files) can be accessed and managed with this tool. Put simply, it’s a language designed for working with information stored in a database. There are usually a few different approaches to the same problem in every given programming language. Because of the widespread tendency to substitute Sql for ..read more

Data scientists are excellent mathematicians with extensive cross-disciplinary knowledge and analytical skills. This specialist’s job is to identify the best formula for teaching artificial intelligence. They should search among all current algorithms for the one that is most suited to fixing the project’s difficulties and determining what is going wrong. However, to strengthen the company’s competitive edge, data scientists must collaborate with software programmers. Both data scientists and engineers must be responsible for the issue and must try to solve the issue at any step of the work ..read more

78.9% of all websites use PHP as their server-side programming language. Some of the names include giants such as WordPress, MailChimp, and Facebook.  97.9% of all websites use JavaScript as their client-side programming language.  Source Some of the names include Google, YouTube, and Amazon.   Confused about whether you should hire PHP developers or JavaScript developers? We’re here to clear your confusion.  In the next five minutes, we’ll help you decide the winner of the PHP vs JavaScript battle. The article will compare 10 aspects of the two programming languages ..read more

In today’s world, Organisations rely on Big Data to fuel their operations, and Hadoop and SQL are widely used in the data industry for data management because they can efficiently handle enormous data volumes. This description is intended to examine Hadoop and SQL, and distinguishes between the two by highlighting the Hadoop vs SQL differences. What is Hadoop? Hadoop is an open-source software framework for processing and storing data in clusters of commodity hardware for Big Data applications. It has a lot of storage for any type of data, a lot of processing power, and it can handle multiple ..read more

In this article, we will explore the topic of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) to avoid confusion between these two data integration methods. Both of them have advantages as well as downsides. Which type to choose depends on your needs in data analytics, speed of delivery, and a few more points. The increasing complexity of business needs demands enormous amounts of information be available at one click. In practical terms, we store necessary ready-to-use data in data warehouses. But before, it has to be collected from a heterogeneous landscape of source syste ..read more

While Office 365 still offers public folders, it is moving it’s users to use more Office 365 Groups for collaboration and simplicity. With Office 365 Group, you will offer a central management for all the application surrounding the group. When creating an Office 365 Group, apart from creating an actual group with an email address, shared mailbox, shared calendar, SharePoint Online site and Planner dedicated to that group, you can also create Teams, Stream, Notebooks and other applications easily and associated to the same group. Like this anyone who is part of that group, will automatically h ..read more