Analytics and Data Summit 2018

You have databases you want to move to the Oracle Database Cloud? There are several ways to complete such a migration - but which one is the best for you? We'll showcase the different paths, tell you how to choose the right method for your situation, and give you straight forward step-by-step instructions to ensure your successful and simple migration to the Oracle Database Cloud. This will include specific client use cases, migration scenarios, and benefits of migrating to Oracle Database Exadata Cloud Machine. In addition, we show how to lift and shift onto Exadata Cloud Service using the Database Consolidation Advisor.

This talk presents the experience of a customer project where we built a stream-based ingestion into a graph database. It is one thing to load the graph first and then querying it. But it is another story if the data to be added to the graph is constantly streaming in, while querying it. Data is easy to add, if each single message ends up as a new vertex in the graph. But if a message consists of hierarchical information, it most often means creating multiple new vertices as well adding edges to connect this information. What if a node already exists in the graph? Do we create it again or do we rather add edges which link to the existing node? Creating multiple nodes for the same real-life entity is not the best choice, so we have to check for existence first. We end up requiring multiple operations against the graph, which demonstrated to be a bottle neck. This talk presents the implementation of an ingestion pipeline and the design choice we made to improve performance.