EnerNOC analyzes billions of energy data points per month to help utilities and private companies optimize their systems, ensure availability and reduce costs.Silver Spring Networks, the leading provider of smart grid infrastructure, analyzes utility meter data in MongoDB.
#Dbschema for mongodb series#
There are many examples of organizations using MongoDB to store and analyze time series data. Time series data is a great fit for MongoDB. It represents a history of what happened, and there are a number of use cases that involve analyzing this history to better predict what may happen in the future or to establish operational thresholds for the system. This data tends to be immutable, large in volume, ordered by time, and is primarily aggregated for access. Systems themselves write information to logs.Calls, SMS messages and other signals from mobile devices.Industrial fleets such as ships, aircraft and trucks produce location, velocity, and operational metrics.Sensors measure temperature, barometric pressure, humidity and other environmental variables.Financial markets generate prices (we still call them “stock ticks”).Today there are many sources of data that, like ticker tape, represent observations ordered over time. Stocks and their values were transmitted via telegraph to a small device called a “ticker” that printed onto a thin roll of paper called “ticker tape.” While out of use for over 50 years, the idea of the ticker lives on in scrolling electronic tickers at brokerage walls and at the bottom of most news networks, sometimes two, three and four levels deep. New York is famous for a lot of things, including ticker tape parades.įor decades the most popular way to track the price of stocks on Wall Street was through ticker tape, the earliest digital communication medium. This is a post by Sandeep Parikh, Solutions Architect at MongoDB and Kelly Stirman, Director of Products at MongoDB.
We recommend you read those (or take in the webinar and current white paper) to be up to date with time series data and MongoDB. Part 3 - Querying, Analyzing And Presenting Time Series Data.We have much more up to date and relevant articles available especially our 2018 series: Time Series Data and MongoDB. Before you read on, this article is from 2013 and a lot has happened with MongoDB and Time Series data in the intervening years.
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