Big Data presents challenges and opportunities for a wide range of activities, enterprises, and individuals. From complex data architectures, cloud storage, data analysis, and overall database management to the legal implications, information governance underpins Big Data analytics. The innovative uses of Big Data are exciting, but questions about data retention policies, securing your data (both big and small), ransomware, and compliance with legal systems in the U.S. and other countries shouldn’t be ignored.

In this session, we review all the AWS database service offerings and share some of the benefits our customers are experiencing by allowing AWS to manage their databases.

Only a small fraction of global firms increase productivity year after year, according to the Organization of Economic Cooperation and Development (OECD). Creating and using unique stocks of data capital is one of the key tactics these firms use to widen their lead. Come learn how two new ideas – data trade and data liquidity – can help all companies, not just superstars, take advantage of the data revolution, and hear examples of firms already putting these ideas into practice.

Many IT departments are seeking ways to automate routine tasks and free up resources. Cloud represents a new way of approaching database management, potentially relieving enterprise data shops of many administrative burdens.

Cloud is everywhere, and the database administrator is caught in the middle. How do you know where to start and what to migrate first? How do you perform consolidation planning and ensure data security? This session builds on a full demonstration, along with tips and tricks to show how DBAs can secure their environments to allow a self-service option so they no longer are the constraints to projects.

BI and analytics are at the top of corporate agendas. Competition is intense, and, more than ever, organizations require fast access to insights about their customers, markets, and internal operations to make better decisions—often, in real time. Enterprises face challenges powering real-time business analytics and systems of engagement (SOEs). Analytic applications and SOEs need to be fast and consistent, but traditional database approaches, including RDBMS and first-generation NoSQL solutions, can be complex, a challenge to maintain, and costly. Companies should aim to simplify traditional systems and architectures while also reducing vendors. One way to do this is by embracing an emerging hybrid memory architecture, which removes an entire caching layer from your front-end application. This talk discusses real-world examples of implementing this pattern to improve application agility and reduce operational database spend.

Cloud solutions and services continue to be embraced for competitive advantage due to a variety of reasons. It is important to understand how the environment works today.

After 10 years of existence, the cloud industry would have you believe it is a mature, stable industry that is safe and secure to take your business to. Yet, the secret the insiders in the know is caveat emptor: Let the buyer beware. This presentation covers the state of the cloud today, lessons learned from the early adopters, the new role of cloud keeper, and what to know in advance to create a successful cloud deployment. It ends with a checklist you can use ensure you choose a cloud provider that can meet your needs.

Data virtualization is an enabling technology that can help an organization address the need for a comprehensive view of its data, avoid the need to replace physical systems, and allow the business and IT sides to work closer together in a more agile fashion.

The data as a service (DaaS) approach enables provisioning of both internal and external assets that can readily be used in the decision-making process. DaaS enables transformation and delivery of the raw data into meaningful data assets for multiple business initiatives in an organization. Attend this presentation to learn how Guardian Life has successfully created a data marketplace using data virtualization to deliver real-time trusted data assets. Learn how this approach reduces risks from data silos that contribute to wrong decisions and serves the right data with the right context at the right time, enabling monetization of data assets by serving necessary data to both internal and external stakeholders.

Virtualization and cloud can provide an approach to abstract data from its sources of origin so that all data environments are opened up to access, including RDBMSs, NoSQL database systems, storage systems, and newer Big Data systems such as Hadoop and Spark.

Cloud adoption is the No. 1 challenge enterprise customers face today. What will your journey look like? What path should you take? How do you get started? This session provides three practical journeys to the cloud that can solve real technical challenges organizations face today. Whether your challenge is delivering self-service BI, a new data lake, or data science analytics, these easy-to-learn tutorials are designed to provide you with hands-on experience with Oracle Cloud services.

The “Big Data era” has ushered in an avalanche of new technologies and approaches for delivering information and insights to business users. What is the role of the cloud in your analytical environment? How can you make your migration as seamless as possible? This closing keynote, delivered by a prominent consultant who has helped many global enterprises adopt Big Data, provides the inside scoop you need to supplement your data warehousing environment with data intelligence—the amalgamation of Big Data and business intelligence.

Everyone attending the closing keynote is entered into a drawing to win a pair of Beats headphones. One winner will be announced at the conclusion of the event and must be present to win.