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Big Data Highlights from Oracle OpenWorld 2019

Michael Chen
Senior Manager

Oracle OpenWorld 2019 has come and gone, and while the big news came from Larry Ellison’s keynotes, there was certainly plenty to talk about in the world of big data—not just the application of big data, but the evolution of Oracle’s product offerings in this space as well. Let’s take a look at some of the discussions and announcements that highlighted the big data space during Oracle OpenWorld 2019.

Taking the Stage with Big Data

Greg Pavlik kicked off OpenWorld on its first day with the session Innovating with Big Data and Data Science on Oracle Cloud Infrastructure. Greg discussed the emerging shift with businesses moving to get ahead of the competition regarding big data and AI. Specifically, he noted that 61% of businesses see AI as their most important initiative, but this was essentially a double-edged sword: while AI clearly can drive innovation, integrating AI the wrong way can create double the work as you undo and redo configurations. With big data continuing to get bigger (as Greg noted, 80% of time is still spent preparing, searching, and governing data), executing AI in a smart forward-thinking fashion is the key to success. How much success? Projections show up to $6 trillion will be realized from AI in the next five years alone. An AI future built on cloud architecture provides the scalability, security, and accessibility to make that happen.

The team of Savita Raina (director, product marketing), Aali Masood (senior director, product marketing), and Amro Shihadah (CEO/COO of IdenTV) took the stage for Build AI Powered Enterprise with Oracle Cloud. During this hour, the trio broke down how AI is used in the modern world, from consumer recommendations to virtual assistants to self-driving cars. That requires enterprise-level infrastructure to truly fulfill the promise of AI, and the trio dug deeper into enterprise needs and concerns, along with the path to achieving a successful strategy. Specifically, they focused on how Oracle delivers an end-to-end big data and AI solution to maximize opportunities using Oracle Cloud as the foundation.

See the deck from this presentation here.

Masood also joined Peter Jeffcock (senior principal product marketing director for big data, cloud GTM database) and Aleksandr Pozhivilk (DBA team lead of Wargaming.net) to present A Unified Platform for All Data. The discussion examined how big data is getting bigger—and in that, more is definitely better to track metrics and develop quantifiable insights. But that puts the onus on data management, meaning that a DIY solution simply isn't sustainable. Autonomous data management optimizes processes for everyone involved: app developers, data scientists, IT managers, and business analysts. In an enterprise data ecosystem, all of these interested parties are supported with cloud access, machine learning, and unified data sources. The presentation examined this up close from a workflow view, and then finished with Pozhivilk providing a real-world perspective thanks to Wargaming.net, which supports 180 million registered users for its family of multiplayer games.

See the deck from this presentation here.

Data science got its own time in the spotlight, as Elena Sunshine (senior principal product manager, data science) took the stage for A Deep Dive on the Oracle Data Science Service. Technically known as Oracle Cloud Infrastructure Data Science, Elena reviewed the transition from DataScience.com to joining Oracle before looking at how this platform is designed for the modern "expert" data scientist. Combining the best of the Python open source ecosystem with the power and scale of Oracle Cloud Infrastructure, data scientists can build, train, and deploy AI/machine learning models with the OCI Data Science service. The service is built for teams of data scientists to collaborate more effectively on solving data science challenges in the enterprise with model lifecycle management, explainability, auditability, and reproducibilitywhich Elena then showed via a live demonstration.

See the deck from this presentation here.

Product marketing’s Sherry Tiao (senior manager) and Wes Prichard (senior director) welcomed a special guest during Use Machine Learning to Maximize the Value of Your Existing Data. First, the duo discussed the possibilities of machine learning in a database, including increased efficiency due to processing within the environment and better results through operationalizing machine learning models. They were then joined by Ray Owens, CEO of DX Marketing. DX Marketing based their workflow on Oracle Cloud: unifying databases in Autonomous Data Warehouse, processing records with Oracle Machine Learning, and creating projections with Oracle Analytics Cloud.

See the deck from this presentation here.

A Closer Look at Oracle’s Products

Products are always the star of the show, and OpenWorld put big data in the spotlight. From that perspective, OpenWorld news provided plenty of excitement as the following products featured major announcements:

Data Catalog (coming soon): A single collaborative environment for data professionals to collect, organize, find, access, understand, enrich, and activate technical, business, and operational metadata to support self-service data discovery, advanced analytics, and governance for trusted data assets in Oracle Cloud and beyond.

Oracle Cloud Infrastructure Data Science (coming soon): To expedite collaboration, this secure enterprise-grade platform comes with project-driven UI that enables teams to easily work together on end-to-end modeling workflows with self-service access to data and resources. The platform also supports the latest open source tools, version control, and tight integration with Oracle Cloud Infrastructure and the Oracle Big Data platform.

Big Data Service (coming soon): A new and improved cloud service based on Cloudera Hadoop, Oracle Big Data Service delivers the flexibility of native Oracle Cloud Infrastructure shapes (start very small, support very large clusters). Users will enable big data processing for data integration pipelines and leverage data lakes for true information lifecycle management.

Oracle Cloud SQL: Oracle Cloud SQL enables users to scale out queries against Object Stores and Big Data Service. Automatic and transparent, it delivers user flexibility through scalability and a pay-for-what-you-use model.

On the Exhibition Level, attendees got to experience Oracle's latest and greatest up close with a demo showcase. Oracle Cloud Infrastructure Data Science, Oracle Data Catalog, Oracle Data Flow (Spark), and the Oracle Big Data platform were all available on the exhibition level in Moscone South. This ongoing showcase allowed for a hands-on experience that gave a glimpse as to how Oracle’s platform combines simplicity in user experience with extremely powerful data management and insight capabilities.

More Big Data Updates

Now that Oracle OpenWorld 2019 is in the rearview mirror, the coming weeks and months will be filled with more updates related to all of these announcements. Stay on top of it all by visiting Oracle’s Big Data pageand don't forget to subscribe to the Oracle Big Data blog to get the latest posts sent to your inbox.

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