**Data analytics is the science of analyzing raw data to make conclusions about that information. The techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption. Data analytics help a business optimize its performance.
**Companies around the globe generate vast volumes of data daily, in the form of log files, web servers, transactional data, and various customer-related data. In addition to this, social media websites also generate enormous amounts of data.
Companies ideally need to use all of their generated data to derive value out of it and make impactful business decisions. Data analytics is used to drive this purpose.
Data analytics is the process of exploring and analyzing large datasets to find hidden patterns, unseen trends, discover correlations, and derive valuable insights to make business predictions. It improves the speed and efficiency of your business.
Businesses use many modern tools and technologies to perform data analytics. This is data analytics for beginners, in a nutshell.
**Scala is one of the most popular functional languages. It runs on JVM. It is an ideal option if you often have to work with high volume data sets. Due to its JVM origins, it can be easily used with Java in data science.