MAP uses the principle of lazy loading to ensure that only the data required to calculate a data set is extracted from the database. This speeds up the processing and calculation of data and helps MAP deliver it’s lighting fast calculation times
http://www.meniscus.co.uk/wp-content/uploads/2016/06/meniscus-300x120-300x120.jpg00meniscushttp://www.meniscus.co.uk/wp-content/uploads/2016/06/meniscus-300x120-300x120.jpgmeniscus2019-07-19 10:35:512019-07-25 11:40:24Lazy loading for processing large data sets
MAP allows users to create their own data types which can greatly improve and speed up the processing of more complex data and provides the flexibility to process any type of data
http://www.meniscus.co.uk/wp-content/uploads/2016/06/meniscus-300x120-300x120.jpg00meniscushttp://www.meniscus.co.uk/wp-content/uploads/2016/06/meniscus-300x120-300x120.jpgmeniscus2019-07-19 10:06:082019-12-06 11:42:40Support for rich and extensible data types
MAP uses a dynamically constructed dependency tree to identify the relationship of Items and to determine which Items (s) need to be calculated in order for another Item to be calculated.
http://www.meniscus.co.uk/wp-content/uploads/2016/06/meniscus-300x120-300x120.jpg00meniscushttp://www.meniscus.co.uk/wp-content/uploads/2016/06/meniscus-300x120-300x120.jpgmeniscus2019-07-19 06:16:362019-12-06 11:42:25Benefits of a dynamically constructed dependency tree
Meniscus Analytics Platform (MAP) uses Data Blocks and Data Versioning to reduce disk IOPS and deliver the calculation speeds for real time analytics – view the article to see more information
http://www.meniscus.co.uk/wp-content/uploads/2016/06/meniscus-300x120-300x120.jpg00meniscushttp://www.meniscus.co.uk/wp-content/uploads/2016/06/meniscus-300x120-300x120.jpgmeniscus2019-04-25 08:23:272019-07-25 09:59:12Using Data Blocks and Data Versioning to deliver real time analytics
New MAP Sewer capability speeds up the creation of simplified sewer network models. The process uses QGIS and Python scripts to simplify the much more detailed models already developed by the Water Companies. As a result, we create a set of output files that can be imported directly into MAP Sewer.
Case study – Short term solar irradiance predictions and impact on PV site revenue This case study summarises the work completed in an InnovateUK collaborative research project to optimize battery storage at PV sites using short term solar irradiance predictions. As a result of this work, the project delivered the following outcomes. Deliver solar irradiance […]
http://www.meniscus.co.uk/wp-content/uploads/2016/06/meniscus-300x120-300x120.jpg00meniscushttp://www.meniscus.co.uk/wp-content/uploads/2016/06/meniscus-300x120-300x120.jpgmeniscus2019-01-29 18:06:002019-11-14 08:25:23Optimize battery storage by predicting power output
We are updating MAP Rain to let users calculate the FEH 2013 return period for any location. This process updates the existing FEH99 return period calculation service and provides API calls to let users embed the calculations in their own applications.
http://www.meniscus.co.uk/wp-content/uploads/2016/06/meniscus-300x120-300x120.jpg00meniscushttp://www.meniscus.co.uk/wp-content/uploads/2016/06/meniscus-300x120-300x120.jpgmeniscus2019-01-09 10:38:102019-08-01 22:20:40MAP Solar - new service predicts solar power and irradiance at any location
Lazy loading for processing large data sets
/in Internet of Things, MAP analytics, Real Time Analytics /by meniscusMAP uses the principle of lazy loading to ensure that only the data required to calculate a data set is extracted from the database. This speeds up the processing and calculation of data and helps MAP deliver it’s lighting fast calculation times
Support for rich and extensible data types
/in Internet of Things, MAP analytics, Real Time Analytics /by meniscusMAP allows users to create their own data types which can greatly improve and speed up the processing of more complex data and provides the flexibility to process any type of data
Benefits of a dynamically constructed dependency tree
/in Internet of Things, MAP analytics, Real Time Analytics /by meniscusMAP uses a dynamically constructed dependency tree to identify the relationship of Items and to determine which Items (s) need to be calculated in order for another Item to be calculated.
Using Data Blocks and Data Versioning to deliver real time analytics
/in MAP analytics, Real Time Analytics /by meniscusMeniscus Analytics Platform (MAP) uses Data Blocks and Data Versioning to reduce disk IOPS and deliver the calculation speeds for real time analytics – view the article to see more information
MAP Sewer – creation of simplified sewer network models
/in Business, Real Time Analytics, Water Analytics /by meniscusNew MAP Sewer capability speeds up the creation of simplified sewer network models. The process uses QGIS and Python scripts to simplify the much more detailed models already developed by the Water Companies. As a result, we create a set of output files that can be imported directly into MAP Sewer.
Optimize battery storage by predicting power output
/in Business, Real Time Analytics, Solar /by meniscusCase study – Short term solar irradiance predictions and impact on PV site revenue This case study summarises the work completed in an InnovateUK collaborative research project to optimize battery storage at PV sites using short term solar irradiance predictions. As a result of this work, the project delivered the following outcomes. Deliver solar irradiance […]
MAP Rain – New FEH 2013 Rainfall Return Period calculator
/in Business, Flooding, Real Time Analytics /by meniscusWe are updating MAP Rain to let users calculate the FEH 2013 return period for any location. This process updates the existing FEH99 return period calculation service and provides API calls to let users embed the calculations in their own applications.
MAP Solar – new service predicts solar power and irradiance at any location
/in Business, Real Time Analytics, Solar /by meniscusMAP Solar – our new service that predicts solar irradiance for the next two hours at 15 minute intervals at any location