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 …
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 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.
Got lots of data? So does Amaysim, a leading Australian telecom provider, with its billions of rows of data. The organization successfully empowers its small team of data analysts with self-service data analytics platforms so they can easily access the data they need, perform advanced analytics, and visualize findings for …
PostegreSQL is a plain old SQL database, very powerful and very consistent. In some case, project needs an ACID database, but schemaless.. With JSON support, PostegreSQL is a very interesting tool to provide ACID and some very interesting function (time management, localisation function and data types…) and the schemaless NoSQL …
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.
