How can I learn big data analytics?
Individual professionals and those interested in big data analytics can learn about the processes involved by getting a better understanding of how data set analysis is applied in different commercial situations. This might start with a basic review of key terms and ideas, followed by individual and customized learning solutions that help newcomers become more well-versed in how businesses use large data sets through analytics processes.
One way to start learning about big data analytics is to understand what these terms mean.
Big data is just a large set of data. It can be anything - customer information, product information, inventory lists - that a business can use to make decisions. Analytics refers to the software and processes that help businesses to interpret and sort big data. Think of analytics processes as resulting in targeted reports that show human decision-makers a carefully collected set of information that will help them change business processes.
After becoming familiar with these basic ideas, those who are looking for more in-depth resources can get more information about specific analytics software such as Hadoop, cloud computing software setups, or any other designs that have to do with analytics methods. Learners can get information from vendors or suppliers, sign up for training courses within a company or organization, or utilize training resources from third-party entities. For instance, the Big Data University offers online training around big data use, and learners can choose from a variety of free or differently priced program solutions.
All of these kinds of continuing education can make someone a more valuable part of corporate or enterprise IT leadership. Big data is becoming more of a resource for businesses in nearly any field, and there’s a big need for those who understand the processes and the "how" of big data analytics.
At Techopedia, we aim to provide insight and inspiration to IT professionals, technology decision-makers and anyone else who is proud to be called a geek. From defining complex tech jargon in our dictionary, to exploring the latest trend in our articles or providing in-depth coverage of a topic in our tutorials, our goal is to help you better understand technology - and, we hope, make better decisions as a result.Full Bio
Being digital should be of more interest than being electronic.- Alan Turing, 1947