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Oracle Database Solutions

Oracle Analytics for Enterprise Data Solutions

Published by Pearson

Developing Enterprise-Scale Analytics Systems Using Oracle Analytics and Oracle Autonomous Database

Dec. 7, 2021

6 - 9 p.m. Coordinated Universal Time

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Registration closes Dec. 6, 2021 11 p.m. Coordinated Universal Time

What you’ll learn and how you can apply it

By the end of the live online course, you’ll understand:

  • Learn which of Oracle’s offerings are best suited for supporting enterprise-scale analytics.
  • Hear what mistakes large organizations make again and again and see how to turn around struggling analytics initiatives.
  • Learn about autonomous systems from Oracle, what to enhance, and what to leave alone.

And you’ll be able to:

  • Leverage Oracle’s newest technologies and capabilities and integrate them into your existing systems, whether cloud-based, on-premise, or a hybrid.
  • Maximize returns from your existing Oracle investment without spending millions more on expensive analytics toolsets.
  • Weigh the plusses and minuses of modeling data in your warehouse, in Oracle Analytics, or both.

This live event is for you because…

  • You already have some Oracle products in your enterprise eco-system and want to learn more about their approach to analytical processing rather than transactional processing.
  • You want insight on the best approaches to the Oracle suite of analytics offerings for large enterprises.
  • You understand the importance of data strategy and want to gain broader support within your organization for strategic data analytics projects.
  • You want to learn about foundational enterprise computing and analytics.
  • You want to move up to a more strategic role within your firm and know that analytic architecture and data strategy development are the keys to your success.


  • You should have basic knowledge of data processing and data strategy.
  • You should have a basic knowledge of enterprise systems and decision-making dynamics.
  • You should be familiar with Oracle’s position in the world of Enterprise Information Technology.

Recommended Preparation

Recommended Follow-up

  • Attend: Enterprise Analytic Warehousing by Dan Vlamis and Tim Vlamis: Search O’Reilly for upcoming date


The timeframes are only estimates and may vary according to how the class is progressing.

Segment 1: The Oracle Analytics Portfolio (20 minutes)

  • Oracle Autonomous Database and how it differs from earlier Oracle databases
  • Oracle Analytics and the foundation of enterprise decision making
  • Cloud, on-premise, and Hybrid systems using Oracle
  • Assessing Oracle technologies against other competitive alternatives
  • Q&A

Segment 2: Analytic Use Cases in Business and Enterprise Computing (30 minutes)

  • Frameworks for identifying the importance and use cases for data assets
  • Paradox of increasing returns with use
  • Challenges of data asset classifications for analytics

Break (5 minutes)

Segment 3: Oracle Analytics: Dashboards, data visualization, and the virtues of highly dynamic analytics (45 minutes)

  • The Common Enterprise information model and coherence in decision making for complex organizations
  • Data visualization best practices
  • Frameworks, patterns, and models for effective analytics
  • Mashups, data blending, and extending enterprise models for self-service and highly focused work groups
  • Q&A

Break (5 minutes)

Segment 4: Data Modeling for Analytics Use Cases inside of Oracle Autonomous Database (45 minutes)

  • Star schemas and property graphs
  • Dimensional modeling using analytic views, OLAP cubes, and other advanced techniques
  • Aggregation strategies and tips for high performance models
  • Data storage, processing, and streaming and ACID tradeoffs
  • Oracle Spatial and advanced location analytics and maps
  • Data creation: feature engineering, machine learning, time series analysis, and forecasting

Segment 5: Road maps, Tradeoffs, and Real-World Implementations (25 minutes)

  • Methodologies for building analytics systems in existing enterprise implementations
  • Advice on analytics project selection and exclusion from real world perspective
  • Delivering value quickly in large enterprises and building a track record of successes
  • Course wrap-up and next steps

Segment 6: Questions and Answers (5 minutes)

Your Instructors

  • Tim Vlamis

    Tim Vlamis is an expert in the visualization of data and the design of business intelligence dashboards, Tim combines a strong background in the application of business intelligence (BI), analytics, and machine learning with extensive experience in business modeling and valuation analysis. Tim has worked with dozens of America’s largest corporations and leading government and science organizations in the design of their business intelligence dashboards and data visualization programs. Tim has assisted several high-tech startups, led partnership formations and dissolutions in Europe, Australia, Hong Kong, Canada, and India, and has negotiated acquisitions in Mexico and Canada. He earned his Professional Certified Marketer (PCM) designation from the American Marketing Association and is an active speaker on business analytics and data visualization topics as well as machine learning, predictive analytics, and analytic warehousing. In addition to a life-long study of business processes, systems, and theories, Tim is a passionate student of complexity theory, the history of mathematics, and the principles of design. Tim earned an MBA from Northwestern University’s Kellogg School of Management and a BA in Economics from Yale University. Tim is a named contributor to multiple Oracle University courses on predictive analytics and machine learning and often serves as an expert instructor for them.

  • Dan Vlamis

    Dan Vlamis is President and founder of Vlamis Software Solutions, a boutique consultancy which has led more than 200 Business Analytics implementations for more than 25 years at many of the world’s leading organizations. Recognized by Oracle as an Oracle ACE Director and on the editorial board of Oracle Magazine, he consults with Oracle Product Management regularly. Dan covers Oracle BI and related products through his popular blog at Dan was a co-author on the Oracle Press books Data Visualization for Oracle BI 11g and Oracle Essbase and Oracle OLAP - The Guide to Oracle's Multidimensional Solution. Dan Vlamis holds a degree in Computer Science from Brown University. Dan has been a popular speaker at major Oracle conferences such as Oracle OpenWorld, Collaborate, and ODTUG Kscope for two decades and is known for his live demos of Oracle software. As an Oracle Business Intelligence Warehousing and Analytics User Community (BIWA) board member, he chaired BIWA Summit/Analytics and Data Summit in 2014, 2015, 2016, 2017, 2018 and 2019.

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