Overview
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. The goal of this course is to provide students with a baseline understanding of core concepts and technologies to a conversant level.
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$895 (USD)
1 day/7 hours of instruction
Group (3+): $795 USD
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Data Science Overview | Tools, Tech & Modern Roles in the Data Driven Enterprise Schedule
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Full Course Details
Please note that this list of topics is based on our standard course offering, evolved from typical industry uses and trends. We will work with you to tune this course and level of coverage to target the skills you need most.
- Foundations
- The Hadoop Ecosystem
- Big Data, NOSQL, and ETL
- ETL: Exchange, Transform, Load
- Enterprise Integration Patterns and Message Busses
- An Overview of Developing in Hadoop Ecosystem
- Exploring Artificial Intelligence and Business Systems
- The Modern Data Team
This introductory-level / primer course is an overview intended for Business Analysts, Data Analysts, Data Architects, DBAs, Network (Grid) Administrators, Developers or anyone else in the data science realm who need to have a baseline understanding of some of the core areas of modern Data Science technologies, practices and available tools.
Attendees should have prior exposure to Enterprise Information Technology. As well as familiarity with Relational Databases.
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. We will collaborate with your team to refine level of depth of coverage, understand areas of greater importance to your team, where you would like to add demos, etc.
Throughout the session you'll gain experience in:
- 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
A full refund will be issued for class cancellations made at least 10 business days before the course begins. Payment is nonrefundable for cancellations or reschedules made within 10 business days from the course start date and for No Shows (students who do not attend class). For reschedules made within 10 business days from the course start date, students must reschedule immediately for the same course, up to a maximum of six months from the original date. A student may only reschedule one time.