In the first part, we looked at the basic mechanics of MySQL and Couchbase Server 2.0, and compared the ways in which you would model the data, and how the basic queries and lists of records operate, from the MySQL SQL statement, to the Couchbase Server View.
Conventionally relational databases like MySQL are inflexible and application developers are required to configure and provision database capacity to meet peak or near demand. This is neither cost effective, nor even feasible for high growth companies.
Google BigQuery is a data analysis tool born from Google internal technologies. It enables developers to analyze terabyte data sets in seconds using a RESTful API. This session will dive into best practices for getting fast answers to business questions. We’ll provide insight into how we process queries under the …
Today’s data protection direction is to reduce both storage and storage overhead costs. Data can be the key to healthy organizational growth, but in order for an enterprise to prosper, the data must be managed effectively. There is a high demand for data accumulated by organizations, and this has led …
Theo Vassilakis, Principal Engineer/Engineering Director at Google, Gustav Horn, Senior Global Consulting Engineer, Hadoop at NetApp and Charles Fan, Senior Vice President at VMware in strategic R&D discuss the evolution, current opportunities and future trends in big data.
Neo4j is the world’s leading open source graph database. Designed to interrogate densely connected data with lightning speed, it lets you traverse millions of nodes in a fraction of the time it takes to run a multi-join SQL query.
