Meniscus news and blog articles

Read the latest Meniscus news and blog articles on big data, analysis, research, how-to, opinions, data management and videos.

Overview of Aggregation Period and Aggregation Function

Aggregation is the process of performing a simple data-reduction function over a section of time.The section of time is from the current pre-processed Data Point time (inclusive) to the last pre-processed Data Point time (exclusive).

Process Based Energy Management for the Water Industry

This White Paper sets out a methodology for using the Meniscus Calculation Engine (MCE) as a bottom up process centric Energy Monitoring and Targeting based application for use in the Water Industry.

Overview of Item Types for entering raw data into MCE

MCE supports a number of different Item Types. Each Item Type is designed to simplify the processing of the most common types of raw data that are found in general everyday use. MCE process each type of data slightly differently and this article sets outs the differences.

New Widget graphs for mobiles, tablets and PCs

We are pleased to announce that we have created some new widgets that will allow users to display graphs in any browser and on any platform including Apple and Android devices.

MAP Items and DataItems

An Item owns a number of DataItems (called Item DataItems) related to the processing of Item Type data. The input is either raw meter data imported into storage, or data from any of the stages of processing other Items.

Re-Purposed Current Cost Bridge

Pleased to announce that we have released a re-purposed version of the Current Cost Bridge that sends data from the Current Cost Envi unit directly to the Meniscus servers making it much easier to use our Real Time Energy Management Dashboard.

Big Data real time Analytics Platform

Meniscus is pleased to announce that it has secured funding from the UK’s innovation agency, the Technology Strategy Board, to help develop a new cloud based, scalable Meniscus Analytics Platform (MAP).

Core Concepts for MCE. Data Point and Data Point List

MCE processes sequences of time-variant data. Each time-value pair within this data is a Data Point, and each sequence of them is a Data Point List.