How to Learn Big Data With Data Analytics Courses
How to learn big data analytics? It seems that every week there is another important new development in the fast-paced world of technology and its applications. Each day brings with it new possibilities and new job titles. Big data is certainly making enormous opportunities for those who understand and master it.
What are some of the exciting new opportunities available through the use of big data analytics? It used to be that IT professionals were required to know a certain amount of SQL and Java to effectively manage a business’s database management systems (DBMS). However, with the advent of web-based platforms for database management and application programming interfaces (API) to connect the various systems, developers are no longer limited to knowledge of one programming interface. In fact, the need for database administrators is rapidly on the decline.
This is why the exciting opportunity for IT professionals to take advantage of big data analytics presents itself. It makes sense for professionals to learn how to use big data analytics tools that allow them to mine information from a multitude of sources to find what they need quickly and easily. For example, there are now tools available that let people use their smartphones, tablets, e-readers, laptops and other mobile devices to access and view charts, dashboards and other visual information from their own data management systems. Many individuals and businesses are taking advantage of this functionality. As more industries begin to use advanced data management systems, the demand for knowledgeable and skilled IT professionals to install and maintain the new technologies is expected to grow significantly in the next few years.
Another interesting avenue that IT professionals may explore when they want to learn how to learn big data is to investigate the emerging open source community of big data enthusiasts, or coursera. Coursera is an open source framework that was originally developed as an open source project for web browsers. Today, it is used in the production environment to power things such as Twitter, Reddit and Flickr, as well as in the finance industry and online retailing. Coursera is useful for developers, architects and other IT professionals because it allows them to develop applications using the open source framework and then share the code with the rest of the community.
While these open source platforms are useful, they are not the only ones that make big data analytics tools valuable. It makes sense for professionals to look at courses in the field of business intelligence (BI) and data science (DD) as well. Courses such as the Risks, Rewards and Returns Management (RPR) course and the Analytics for Social Reasons (ASR) course teaches professionals how to mine big data from social networks such as Twitter, Facebook and LinkedIn. These tools can also be used to mine data from publicly available information such as the CIA’s torture report.
Machine Learning is another way for professionals to learn how to harness big data. There are several Machine Learning frameworks available including NLP, Keras and Pyramidal. Coursera offers a number of Machine Learning courses including Data Mining for Social Network Analysis and Advanced Machine Learning.
While there are plenty of options out there for those looking to take courses in how to learn big data analytics, some experts recommend choosing one particular technology. One popular option is Apache Spark. Others include the Hadoop framework and the Map-Reduce framework. Experts recommend selecting a technology based on how it works. For example, Hadoop provides an easy way to use large data mining techniques, but it is difficult for data scientists to understand because it makes use of highly abstract mathematical language.
Developers choose Hadoop because it provides the lowest total cost. However, the developers may not wish to deal with the hassles associated with installation and configuration of Hadoop. As a result, many people who need to learn how to harness big data analytics look towards frameworks such as Apache Spark. Spark is an open-source framework written in Java and originally developed at IBM for its Watson architecture.