The Data Science & Big Data Overview | Tools, Tech & Modern Roles in the Data-Driven Enterprise is an introductory level course that introduces the entire multi-disciplinary Data Science team to the many evolving and related terms, with focus on Big Data, Data Science, Predictive Analytics, Artificial Intelligence, Data Mining, Data Warehousing. The overview explores the current state of the art and science, the major components of a modern data science infrastructure, team roles and responsibilities, and level-setting realistic possible outcomes for your investment. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice.
* Actual course outline may vary depending on offering center. Contact your sales representative for more information.
Learning Objectives
This course provides a high-level view of a variety of core, current data science related technologies, strategies, skillsets, initiatives and supporting tools in common business enterprise practices. This list covers a general range of topics current to the time of course distribution.
Students will explore:
Foundations: Grids & Virtualization; SOA, ESB / EMB, The Cloud
The Hadoop Ecosystem: HDFS; Resource Navigators, MapReduce, Spark, Distributions
Big Data, NOSQL, and ETL
ETL: Exchange, Transform, Load
Handling Data & a Survey of Useful tools
Enterprise Integration Patterns and Message Busses
Developing in Hadoop Ecosystem: R, Python, Java, Scala, Pig, and BPMN
Artificial Intelligence and Business Systems
Who’s on the Team? Evolving Roles and Functions in Data Science
Growing your Infrastructure
$795
Length: 1.0 day (8 hours)
Level: