Moving to a Modern Data Architecture
A101: Enabling Data Architecture
A102: New Approaches to Data Management
A103: Supporting Modern Applications
A104: Going Beyond Relational
A105: The Future of Data Warehousing
Analytics and Applications
B101: Moving From Traditional BI to Data Discovery
B102: Becoming a Data-Driven Enterprise
B103: Big Data Analytics in Action
B104: Supercharging Your Marketing With Big Data
B105: Data Science for the Enterprise
Big Data Tools for the Oracle DBA
C101: Get Real-Time Oracle Data Into Kafka to Unlock the Value of Your Data
C102: Spark for Oracle Developers
C103: Integrate Big Data with Master Data on Hadoop and Spark
C104: Hadoop Data Store and Retrieval: Perceptions and Reality
C105: Oracle NoSQL for the Oracle RDBMS DBA
Moving to a Modern Data Architecture
A201: Machine Learning and the Internet of Things
A202: Data Modeling for the Data- Intensive Enterprise
A203: Overcoming Big Data Integration Challenges
A204: The Internet of Things Cross-Fire Panel
CLOSING KEYNOTE - Disruption at the Speed of Data
Analytics and Applications
CLOSING KEYNOTE - Disruption at the Speed of Data
B201: Succeeding With Predictive Analytics
B202: Gaining Customer Value From Big Data
B203: Overcoming BI Limitations
B204: The Future of Analytics Panel
What Big Data Means for Oracle Business Intelligence
CLOSING KEYNOTE - Disruption at the Speed of Data
C201: Utilizing Hadoop Data Warehouse in Oracle BI Architecture
C202: Text Mining Tips & Techniques
C203: Modern Data Architecture
C204: The Intersection of Big Data, IoT, and Oracle Edge Analytics