Big Data Technologies: A Manager's GuideBig Data is the hottest topic in IT right now, but do you really know what it means to your organization? How does it impact your job? And when the CIO asks you whether to use Hadoop on an upcoming project, do you have a well-informed reply? This workshop will describe the Big Data landscape in terms that managers and architects can understand and translate for your organization. How is Big Data different from what you know now, and how is it the same? Why is Big Data taking the IT world by storm? What are the business and technological motives behind it? You’ll get a high-level view of the technologies involved, some of the prominent tools and languages (such as Hadoop and R), and by the end of the class will have a sufficient taxonomy that you can communicate with senior executives and developers.
- How big is Big Data?
- Use cases and business drivers – technology costs and new analytical power
- Hardware and software components
- Key Big Data technologies and the functions they perform:
- Hadoop - Map Reduce - Hbase - Hive - Pig
- NoSQL databases and data stores, such as MongoDB, Cassandra and Couchbase
- R – the language of Big Data analytics
- Incorporating new information streams from social networks, sensors and unstructured data sources
- Integrating existing enterprise systems with Big Data