Presentations | 2018
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January 16, 2018
OAC 17.4.5 New Features
Presented by Dan VlamisOracle Analytics Cloud (OAC) brings the power of Oracle BI to the Oracle Cloud, including the headline from Oracle OpenWorld: Machine Learning. See a live demonstration of OAC 17.4.5. OAC prior version customers: add Machine learning and lots of other new features. OBIEE (Oracle BI Enterprise Edition) customers: move your content to the Oracle cloud to save on administrative headache and add new features.
Join Dan Vlamis, Oracle ACE Director, and President of Vlamis Software Solutions, as he breaks down the exciting new features in OAC 17.4.5. Expect a fast-paced presentation with live demos of OAC, on as many of the new features as time allows. Features that debuted in Data Visualization 4 for Desktop are covered more fully in the November 9 webcast, but will be summarized. Just like our previous demonstrations of new BI releases (see www.vlamis.com/obiwebinars for a list), we will give a live demonstration of as many of these features as we have time for, including:
Recap of DV4 features shown on November 9:
- New Home Page
- New Visualization control experience
- New Column controls for date/time, auto-binning
- New narrate experience
- New data flow steps, including create Essbase cube step
- Machine learning
- Data limit truncation warnings
- Narrate enhancements for groups
- Data flow enhancements
- Sequences for Data flows
- Data flow scheduling
- Renaming steps
- Create Essbase cube step
- BI Publisher consuming XSAs
- Essbase new features
- Admin / Console new features
- Content embedding
- Data replication
- Email deliverables
- Map Viewer console
- Import / export TCM models
- Public API support
Dates content of webinar are subject to change.
February 27, 2018 • Los Angeles, CA • Website
Property Graphs 101: How to Analyze Billions of Relationships in Data
Presented by Dan Vlamis
Oracle Database 12c now includes property graphs - a powerful feature that goes beyond relational, to analyze relationships in big data, such as finding the most influential people in a social network, discovering patterns of fraud within financial transaction data, or recommending products based on what similar customers are buying. Don’t have the slightest clue on how to get started with and use property graphs? Good news! If you can form a complete sentence (coffee allowed) then you can do this! We will show you how to create, load and use property graphs on the Oracle Database.
March 20-22, 2018 • Redwood Shores, CA • Website
Architecting for Analytics
Presented by Dan Vlamis and Mike Caskey
This session answers architecture questions related to the overall structure and strategy for an enterprise analytics system. How do we design a data warehouse for analytics purposes? What do we integrate into a central warehouse or maintain in separate data marts? How do we integrate long term storage systems that we need to query only occasionally? Data lakes? Big Data?? What are the tradeoffs with different tools and how much do we invest in custom code? How do we integrate real-time data streaming? What ETL and integration strategies are we going to use? Where and how do we extend our raw data with calculated measures and analytic functions? How do we create a system that has a strong foundation, but can grow and evolve over time? This presentation will draw from real-world data architecture projects that were designed with analytics in mind.
Hands on Lab: Machine Learning 101 with Oracle Data Miner and ADWC's Machine Learning Notebook
Presented by Charlie Berger, Karl Rexer, and Tim Vlamis
Learn the fast and way to perform machine learning using SQL Developer 17.2’s Oracle Data Miner drag and drop workflow UI. Learn from multiple experts in the room who will provide 1:1 coaching, guidance and instruction as requested in performing several hands on tutorials. Ask questions, get answers and come away with a comfort level of using Oracle’s machine learning capabilities in your use cases. Also, try the new Oracle Machine Learning (OML) Zeppelin-based notebook for the Autonomous Data Warehouse Cloud (ADWC). OML extends Oracle’s offerings for data science in the cloud. OML’s collaborative, notebook environment helps data scientists built, share, document and automate data analysis methodologies that run in ADWC. Come learn about how easy it is to use Oracle’s newest SQL notebook technology to access and view data and build and deploy predictive machine learning models.
Level Up -- The Technologies you Need to Learn to Stay Relevant in Analytics
Presented by Charlie Berger, Stewart Bryson, Arthur Dayton, Nick Salem, Wayne Van Sluys, and Tim Vlamis
The world of business analytics is rapidly changing. Technology is focused on bringing more and more functionality to end users and automating or obscuring many of the tasks that were the cornerstone of a number of technology careers. As the skills that were in extremely high demand 5 or 10 years ago become less valued in the marketplace what skills should you focus your efforts on today, that take advantage of the skills you already have, to continue to advance your career as a technologist? In this panel discussion thought leaders from the analytics industry will exchange views on the changing landscape of business analytics and technology and share their impressions of the current and future state of the industry. The panel, with participation from attendees, will try to separate the hype from reality about what skills really matter and how to stay relevant and advance your career in the ever-changing world of analytics.
Machine Learning and Advanced Analytics in the Oracle Analytics Cloud
Presented by Tim Vlamis
This session will focus on the built-in capabilities of Oracle Analytics Cloud and OBIEE 12c to do predictive analytics and machine learning. Clustering, forecasting, anomaly detection are all available as single-click built-in functions using R. We’ll show not only the business use cases for these functions, but also how to extend and interpret the results sets from advanced analytic algorithms. We’ll cover how to leverage the power of R (the world’s most popular programing language for advanced analytics) through Oracle’s packages and through the thousands of open source packages available. We’ll also show the latest capabilities for building and scoring data using machine learning models in OAC and OBIEE 12c.
Sensing, Seeing, and Showing: Visualizing Data in Oracle Analytics Cloud
Presented by Dan Vlamis and Tim Vlamis
The process of scientifically uncovering insights in complex data sets is one of the most exciting areas of Visual Analytics. You’ll see how to break down the steps in data exploration so that you discover key findings quickly, efficiently, and comprehensively. Showing and telling others your data stories use many of the same visualization tools and concepts, but the challenge is making this effective for different people with different backgrounds, skills, and abilities. We’ll cover advanced topics like Sankey, parallel coordinates, trellis, and force vector charts and while reinforcing fundamental principles that lead to exceptionally effective screens of all kinds. Join the authors of THE book on Data Visualization for Oracle Business Intelligence as we share the yet to be tapped potential of Oracle Analytics Cloud and Data Visualization through a series of live demonstrations.
Hands on Lab: Property Graph 101 for the Completely Clueless
Presented by Arthur Dayton and Cathye Pendley
Oracle Database 12c now includes property graphs - a powerful feature that goes beyond relational, to analyze relationships in big data, such as finding the most influential people in a social network, discovering patterns of fraud within financial transaction data, or recommending products based on what similar customers are buying. Don’t have the slightest clue on how to get started with and use property graphs? Good news! If you can form a complete sentence (coffee allowed) then you can do this! This hands on lab will show you exactly how to create, load and use property graphs on the Oracle Database. We will cover how to create a property graph using Java or PLSQL, how to load data into a property graph from existing database tables, how to create an in-memory instance of a property graph, how to run algorithms such as page rank against a property graph, how to use PGQL (a sql like language for property graphs) to query a graph and ways to visualize graph data.
Key Take-Aways in Exploring Oracle Cloud to Modernize BI and Analytics
Presented by Eshwari Mulpuru and Tim Vlamis
Tektronix is a world-leading manufacturer of test and measurement equipment. Like many global organizations with complex business operations, the process of bringing together data resources for analysis is a challenging but critically important business function. Several business units at Tektronix used independent BI platforms, leading to integration challenges. A fast-track project run by Vlamis Software Solutions using Oracle Analytics Cloud (OAC) data visualizations consolidated these disparate systems into one modernized their business analytic platform. This all built upon the good work done in various departmental silos as well as their data warehouse and legacy OBIEE system. Come with your questions about how to balance the technology preferences of different functional user groups, how to evaluate the strengths and weaknesses of your current OBIEE implementation, and how to build momentum during a modernization initiative.
April 4, 2018 11:30am CDT
What‘s Involved in Migrating from OBIEE to OAC?
Presented by Dan Vlamis
You have a significant investment in Oracle Business Intelligence Enterprise Edition (OBIEE). You hear from Oracle that you should move everything to Oracle Analytics Cloud (OAC). But what’s really involved in this migration? Why spend more money with Oracle to host an environment that you already have? And what benefits will you experience beyond just the benefits from moving to OBIEE 12c?
The experts at Vlamis Software Solutions will share their experiences in migrating OBIEE to OAC. After a quick demo and some background on the differences between OBIEE and the various editions of OAC, Vlamis will show in a live demo what is involved with OAC and benefits such as:
- Reduced environment administration
- Increased collaboration amongst users
- Additional exploration capabilities of Data Visualization using your existing RPD file
- Combine your curated data warehouse data with additional data sources on the fly
- Ability to add custom visualizations
- Data manipulation capabilities of Data Flows
- Mobile application Day by Day
- Integration with FREE mobile application Synopsis
April 22-26, 2018 • Las Vegas, NV • Website
Introduction to Machine Learning in Oracle Analytics Cloud
Presented by Tim Vlamis and Arthur Dayton
OAC and Data Visualization Desktop 4.0 now include a huge set of machine learning processes and algorithms. We’ll demonstrate the new interface, explain which algorithms to use in which business cases, show how to interpret results, and review how to explain it all to nosy bosses and others who always want to know “just how does this thing work”. This feature is way too powerful not to use, all you need is a place to start and a basic understanding of what’s what. We’ll show you everything from “one-click” options to how to start with simple dataflows and then build them out over time. Join Tim and Dan and you’ll be “doing machine learning” in no time!
Getting from Answers/Dashboards to Data Visualization
Presented by Dan Vlamis and Tim Vlamis
The Data Visualization interface in Oracle BI is great for adhoc exploration of data. Over the years it has been enhanced to allow for multiple “canvases”, multiple types of prompts, a story-telling mode, master-detail visualizations, and data actions that allow one visualization to drive another. The new “grammar of the graphics” interface is much more compelling to use. Oracle clearly is adding new capabilities to the Data Visualization interface and is not making many changes to the “old dashboard/answers” interface. Clearly the future is in the new DV interface. So…what are the implications for new dashboard development? Can we develop fully-functioning Enterprise dashboards with DV? What features are still missing? When should we rely on custom visualizations? When do we need to use the older-style dashboards? What’s involved in migrating older dashboards to the new DV interface? How does the movement to the cloud (and specifically Oracle Analytics Cloud) affect this topic? Come to this session to learn from authors on the book on Data Visualization as they explore these topics. Is DV the new interface for all dashboards in the Oracle BI environment?
April 22-26, 2018 • Las Vegas, NV • Website
Future-Proof Your Career: What every Executive Needs to Know about Adaptive Intelligence
Presented by Tim Vlamis
What can machine learning do and not do? We’ll discuss openly the natural tradeoffs that exist between different options for building advanced analytics capabilities in your business: outsource vs. inhouse, cloud vs on-premise, prepackaged analytics vs. opensource custom code. You’ll learn what language you need to know, how to explain the common concepts of adaptive intelligence, and how to tie your experience to the new techniques and tools. You likely already know enough, you just need some guidance.
Do the Mashup: How to Get BI Self-Service Data Connections Right
Presented by Dan Vlamis and Cathye Pendley
Data is king and IT and business struggle between one version of the truth and needing to add data into the system quickly for analysis purposes. While you may need validated data residing in a data warehouse, there is also a need for users to supplement this data on the fly. Successful analytics applications require the ability to mash up external data with data warehouse data. Joins, transforms, connections to cloud applications and other databases will all be covered. Come to this session to learn how to use the new data flow and mashup capabilities in OAC, DVD, and OBIEE 12c for today’s analytics.
Using Node.js to Make OBIEE the Application You Always Wanted It to Be
Presented by Arthur Dayton and Dan Vlamis
There is no other way to say it, write back in Oracle Business Intelligence is awful. Oracle Application Express integration is one way to address the need for data capture but it has its own limitations. Node.js has the largest ecosystem of open source libraries in the world and makes adding interactive forms for data capture and retrieval really easy inside of OBI. Come to this session to learn how the presenters have used Node.js to extend customer OBI environments to enable interactive data capture and custom visualizations alongside delivered content.