Every major industry all over the world is experiencing a data boom today. And with great power, comes great responsibility. With this data explosion, businesses are concerned with managing and handling the totality of raw data. Big Data can be seen as related to Artificial Intelligence (AI) in the same way that Automation and Robotics are to Internet-of-Things (IoT).
Big Data has a huge role to play in society’s progress and innovation. It has altered how individuals conduct business and its usefulness is only restricted by human creativity. Students, professionals, and businesses alike can utilize predictive analysis and other Big Data techniques for organizational efficiency, and a competitive edge irrespective of industry size.
The Big Data analyst will have a broad understanding and knowledge of real-time analytics and business intelligence platforms. They should be capable of working with SQL databases and should know several programming languages. Besides, they will also have a working knowledge of statistical software packages. Knowledge of Hadoop and MapReduce is also essential. With the use of scripting languages, an RCDBA® will be able to produce new insights from data sources.
An RCBDA® is an interface between organizations and information processing systems. They use ML (machine learning), data analytics, and AI (Artificial intelligence) to assess the technical performance of an enterprise. His/Her work is a critical asset across various industry sectors and can take on a wide variety of roles in business with skills in NoSQL, apache Hadoop, machine learning, data visualization, apache-spark, programming languages, quantitative analysis, problem-solving, SQL, and data mining.