Big Data Courses
Today, the astounding growth of data is overwhelming for many enterprises. Relational and traditional databases are unable to keep up with the demand for Big Data. Given this demand, a new set of technologies have emerged and have been termed Big Data or NoSQL (meaning Not Only SQL). Big data represents a new era in data exploration and utilization, and these classes are targeted for those who want to have a general understanding about big data. The audience includes, but is not limited to, engineers, programmers, networking specialists, managers, and executives. These classes introduce the core concepts, technologies and techniques of Big Data. Our curriculum is designed to teach you skills that directly apply to real-life IT jobs. Our proven instructor force and new state-of-the-art training facility set the SLU's Workforce Center apart from other training programs and facilities.
Course Topics: Emerging tools like Mongo, Acid, BigTable, CouchDB, building Big Data systems, and new tools designed for Big Data.
Prerequisites: There are no prerequisites for this class, but prior relational database experience is recommended.
Course Topics: Hadoop Distributed File System (HDFS), MapReduce , Hadoop's data and I/O building blocks, how to design, build, and administer a Hadoop cluster, how to run Hadoop in the cloud, Sqoop, the Pig query language, Hive, HBase and ZooKeeper.
Prerequisites: Prior programming experience is required, prior Java programming experience is recommended.
Course Topics: Pig's data model, Pig Latin scripts to sort, group, join, project, and filter your data, Grunt, and load and store functions. Other topics include how to use Hive to create, alter, and drop databases, tables, views, functions, and indexes, how to load and extract data from tables, and how to perform queries, grouping, filtering, joining, and other conventional query operations.
Prerequisites: There are no prerequisites for this class, but prior experience with SQL and a scripting language is recommended.