Big Data Hadoop (Hadoop)
Due to the advent of new technologies, devices, and communication means, the amount of data produced by mankind is growing rapidly every year. Big data means really a big data, it is a collection of large datasets that cannot be processed using traditional computing techniques. Challenges include analysis, capture, data curation, search, storage, transfer, visualization, querying, updating and information privacy.
Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs. Hadoop uses a distributed computing architecture consisting of multiple servers using commodity hardware, making it relatively inexpensive to scale and support extremely large data stores.
Big data is really critical to our life and its emerging as one of the most important technologies in modern world. Big data technologies are important in providing more accurate analysis, which may lead to more concrete decision-making resulting in greater operational efficiencies, cost reductions, and reduced risks for the business.
This course provides the knowledge to use new Big Data tools and learn ways of storing information that will allow for efficient processing and analysis for informed business decision-making. Further, you learn to store, manage, process and analyze massive amounts of unstructured data.