The definition of NoSQL gives us room to lump databases in the same category as analytics frameworks and other technologies. While this categorization is factual, the terms tend to lead to confusion. Understanding types of data workloads requires a fundamental appreciation of distributed systems. We will explore what factors affect …
Apache Hadoop is the de facto open source standard for big data solutions. A challenging task is to send all data to Hadoop for processing and storage (and getting it back to your application later), because data comes from many different applications (SAP, salesforce.com, Oracle’s Siebel product family, and so …
Most NoSQL databases use an eventual consistency model for better scalability. This talk explains the CAP theorem, how it relates to eventual consistency, other possible solutions, and also explains how consistency is directly related to Einstein’s theory of relativity. Finally, there is a surprise.
The database market is bursting with new technologies built especially to handle a new class of workload for applications dealing with frequent data format changes (agile production apps) or data that is semistructured (nested) in nature. Each of these new technologies has its own APIs, but EclipseLink NoSQL provides a …
Big Data. Fast Data. NoSQL. NewSQL. We’ve experienced something of a renaissance in the storage and processing of data in the last decade of computing after years of “Relational Winter.” We’re now entering into the next phase of this evolution: the convergence of data and the cloud.
Meet engineers from NuoDB: an elastically scalable SQL database built for the cloud. We will learn about their approach to distributed SQL databases and get a live demo. We’ll cover the steps they took to get NuoDB running on Google Compute Engine, talk about how they evaluate infrastructure (both physical …
