Webinar: What is MongoDB?
Date:
30/06/2016
Organised by:
UK Data Service
Presenter:
Sara King-Helen and Margherita Ceraolo
Level:
Entry (no or almost no prior knowledge)
Contact:
Venue: Online
Description:
MongoDB is an open source document based database system. It is designed to scale well for big datasets consisting of 100s of millions of documents.
Instead of traditional tables with rows of data (as used in relational database systems like SQL Server or Oracle) MongoDB Databases consist of collections of documents. Each document, broadly equivalent to a row in a table, is stored in a JSON (JavaScript Object Notation) -like format which allows documents in the same collection to have different structures or elements.
They also allow for more complex structures to be easily stored ‘as-is’, and this is particularly useful for storing streamed data, such as from Twitter, where each Tweet has a complex structure that is not necessarily the same as the next Tweet collected.
Although it is possible to have large clusters of MongoDB servers, it is very simple to set up a desktop version on a Windows PC for training or research purposes.
This webinar will provide an overview of:
• Installing and running MongoDB on a Windows PC
• Examples of storing and retrieving data in MongoDB using code
• Examples of ‘slicing’ and ‘dicing’ data in MongoDB collections
This webinar is intended for researchers with no in-depth knowledge of programming with data. However, attendees are more likely to find this webinar of interest if they already have some idea of JSON formatted data, perhaps from a raw Twitter feed.
The webinar will consist of a 40 minute presentation followed by 20 minutes for questions.
Online, 15.00 - 16.00
Cost:
no charge
Website and registration:
https://www.ukdataservice.ac.uk/news-and-events/eventsitem/?id=4530
Region:
North West
Keywords:
Quantitative Data Handling and Data Analysis, Big data , Open source document based database system
Related publications and presentations:
Quantitative Data Handling and Data Analysis