An Introduction to Enterprise Database Systems
This program introduces concepts of Big Data, Data Science, Teradata, Data Integration, Data Management, Data Visualization, and Data Warehousing.
Duration:
100 Hours + 24 hours of Virtual Lab + 12 hours of Boot Camp
Prerequisites:
BE/BTech in Computer Science / Electronics & basic computer skills
Occupational Objective:
Big Data Engineer, Data Scientist, Data Integration Analyst, Data Visualization Engineer, Data Warehousing Developer
Short Course Description
The Big Data program covers the fundamentals of Big Data, including positioning it in a historical IT context, the tools available for working with Big Data, the Big Data stack, and finally, an in-depth look at Apache Hadoop. It is designed for IT engineers, programmers, and DBAs working with or interested in, as well as business decision makers interested in implementing or managing Big Data systems.
Data science provides meaningful information based on large amounts of complex data or big data. Data science, or data-driven science, combines different fields of work in statistics and computation to interpret data for decision-making purposes.
Teradata provides a relation database system for data storage that offers various tools and utilities for management, administration, and querying.
Talend Data Integration provides an easy way to get integration projects done quickly and with less overhead. It has several tools that make it a powerful, cost-effective suite.
Predictive analytics uses Data Management techniques, such as statistics and machine learning, to build predictive models, often using big data to test and validate these models.
To ensure the audiences understand what is being presented, effective Data Visualization needs to be created, and this all start with knowing who your audience is and what your data is all about.
Explore the fundamentals of Data Warehousing and the architectures of its implementation, including logical and physical design.
Course Outline
Big Data **
** In addition: 12 Hours of Virtual Practice Lab in Data Literacy
Data Science
** In addition: 12 Hours of Virtual Practice Lab in Data Science for Managers
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