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