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