In today’s fast-paced business world, data is a crucial asset. Every organisation generates large volumes of data daily. Effectively utilizing data involves transforming it into meaningful and actionable information. This is where Business Intelligence (BI) becomes important.
Excel has been by far the most widely used tool for managing and analysing data for several years. It is popular, simple to understand, and flexible for various applications. However, as a business grows and its data requirements evolve, Excel users face constraints in terms of scalability and functionality. That’s where Microsoft’s Power BI comes in. It is a robust data processing tool that allows users to solve more complex tasks without much effort.
Today’s data is priceless, probably worth its weight in gold for companies. But decoding all that data and figuring out what it means for the companies takes a lot of skill and know-how. That’s where a data scientist comes in! They are the specialists who manage and analyse data and turn those undecipherable data into valuable insights. So, in this article, we will discuss who is a data scientist and what programs he must know.
Microsoft Power Apps is an online tool to build mobile and desktop applications for personal and business use. People who want to develop an app but don’t have any coding or technical knowledge in software development can use Microsoft Power Apps to build it easily without spending much time and money.
MySQL is a multi-user SQL database management system founded by MySQL AB. Currently, Oracle owns MYSQL. It is the world’s 2nd most used & popular open-source database, i.e., free to use. A significant factor behind its popularity is its compatibility with different languages (like C, C++, JAVA, PHP, PERL, etc.), notably PHP. PHP is mostly used in web development accompanied by MySQL.