Aegis School of Business, Data Science, Cyber Security & Telecommunication
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Apache™ Hadoop® is an open source software project that enables distributed processing of large data sets across clusters of commodity servers. It is designed to scale up from a single server to thousands of machines, with very high degree of fault tolerance. Rather than relying on high-end hardware, the resiliency of these clusters comes from the software's ability to detect and handle failures at the application layer.
It is a data storage processing system that enables data storage, file sharing, data analytics etc. The technology is scalable & enables effective analysis from large unstructured data therefore adding value. With increasing role of social media and internet communication Hadoop is being largely used by various spectrum of companies ranging from Facebook to Yahoo. Other big users of Hadoop include Cloudera, Hortonworks, IBM, Amazon, Intel, Mapr, Microsoft. This technology facilitates its users to handle more data through enhanced storage capacity also enables data retrieval in case of hardware failure.
Hadoop as a solution is increasingly offering data retrieval and data security features. These features are getting better with time. This is leading to enhanced solution to database management systems (DBMS). Hadoop software is the highest growing market in comparison to hardware and services.
With increasing role of social media and internet communication Hadoop is being largely used by various spectrum of companies ranging from Facebook to Yahoo. This technology facilitates its users to handle more data through enhanced storage capacity also enables data retrieval in case of hardware failure.
Hadoop is schema-less and can absorb any type of data, structured or not, from any number of sources. Data from multiple sources can be joined and aggregated in arbitrary ways enabling deeper analyses than any one system can provide.
When you lose a node, the system redirects work to another location of the data and continues processing without missing a beat.
Hadoop is composed of four core components—Hadoop Common, Hadoop Distributed File System (HDFS), MapReduce and YARN.
IBM BigInsights brings the power of Hadoop to the enterprise, enhancing Hadoop by adding administrative, discovery, development, provisioning, security and support, along with best-in-class analytical capabilities. IBM® BigInsights™ for Apache™ Hadoop® is a complete solution for large-scale analytics. Explore the Big Data Anlytics using IBM Infosphre Big Insight taught by IBM Experts at Aegis.
Sample Jobs in Hadoop
Through lectures, hands-on exercises, case studies, and projects the students will explore the Hadoop ecosystem, learning topics such as:
Prerequisites and Requirements
Note: For students who do not have a programming background in Java or Python, additional readings or learning videos will be prescribed. The programming prerequisites will need to be completed within the first 2 weeks of the course.
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