NoSQL

OrientDB 2nd Generation NoSQL

NoSQL claim was to use the right database model for the right domain. Bad news, in most cases a single database model is not enough! In last years NoSQL experienced a huge upward trend, offering new data models (Document, Graph, Key-Value…) to solve problems where old relational databases failed. Now people who have chosen NoSQL …

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NoSQL Biggest Lie: SQL Never Went Away

NoSQL databases threw out SQL for querying, while their authors focused on solving problems on scale, speed and availability. The trouble is, the need for rich query never went away. Neither did SQL; it was only resting.

Amazon DynamoDB Deep Dive

Amazon DynamoDB is a fully managed NoSQL database service for applications that need consistent, single-digit millisecond latency at any scale. This talk explores DynamoDB capabilities and benefits in detail and discusses how to get the most out of your DynamoDB database.

When to Use a Graph Database

Database models have their own strengths and weaknesses, and as software developers, we need to know which are best suited for each application domain. This session considers use cases where a graph database excels.

Can NoSQL Give Us Speed, Scale & Query?

The NoSQL movement promised availability, redundancy, speed and more but query was always the poor relation. Now, non-relational databases are increasingly attempting to fix the problem of query. This presentation explores the non-relational landscape to understand where different NoSQL databases have strengths and which use cases each type suits best.

MongoDB and Java8

Java 8 is here and with it a set of new functionality that everyone wants to make use of with the MongoDB NoSQL database. This is a quick talk on how to make use of the features like Stream API, new Date API and Lambda Expressions within the context of data manipulation and processing.