Analytics and Data Summit 2018

If you’re like most people shifting to a cloud strategy, your learning curve is steep, and even the basics such as migrating data to the cloud are worrisome. Whether megabytes or petabytes, you need your cloud migration to be an efficient process - continuous, requiring no downtime, and seamless without data loss. The long delays inherent with traditional migration methods, the need for coordinated ingestion across multiple environments and various geolocations, stale, vulnerable, or inconsistent data often leave projects stuck in the starting gate. Even worse, when your business’s data is driving competitive advantage, unless you can be sure of the availability of your data, you and your business are at serious risk. Now it is possible to have guaranteed consistent data everywhere, even when data is growing and changing. This presentation will explain ‘LIVE DATA’. And present architecture and solutions that show how a ‘LIVE DATA strategy’ allows you to surmount common and sometimes scary cloud use-cases across a wide variety of industry scenarios.

Oracle recently expanded its Data Management Cloud portfolio with the addition of the Oracle Autonomous Data Warehouse Cloud Service to help customers and partners with the deployment of data-mart or data warehouse environments to gain faster insights from their critical business data. Oracle Autonomous Data Warehouse Cloud is the first of many cloud services built on the “self-driving” Oracle Autonomous Cloud Database technology. This service is integrated with applied machine learning to deliver unmatched high performance, reliability, and instant elasticity.
Oracle Autonomous Data Warehouse Cloud uses the same Oracle Database software and technology found in existing on-premises data warehouse deployment, and is compatible with Oracle’s in-database machine learning algorithms, analytics and BI tools, as well as popular 3rd party offerings. Oracle Autonomous Data Warehouse Cloud is simple to deploy, enabling traditional data mart environments or new monetization use cases.\

No hype cycles or predictions of a gazillion things here. IoT is big. You get it. You know your business and have great ideas for a business transformation strategy. What comes next? Time to make it happen! We present a step-by-step plan to develop your technology implementation strategy on the Oracle Cloud. We discuss the evaluation of communication standards and IoT messaging protocols, data analytics considerations, edge-to-cloud technical architecture, IoT platform selection, end-to-end security, enterprise systems integration and monetization techniques. Seize market opportunities by following our methodology to design and implement a systems architecture that meets complex demands for security, flexibility, durability, and scalability.

So you want to use Oracle Business Intelligence but your organization doesn't have an Oracle Database, or maybe you do but most of your data sources are stored in a warehouse such as Redshift or Snowflake.

At first glance it might seem that Oracle BI is no longer an option, but don't worry -- it is. In this presentation, we'll guide the audience through the nuanced complexity faced when installing a JDBC Driver for the purpose of connecting Oracle Business Intelligence to a database that isn't Oracle. While we use Redshift as an example, the shared insights will be helpful for anyone connecting Oracle BI to any warehouse or database.