19 10, 2017

Trendalyze available on the Azure platform

2017-10-19T09:22:09+00:00 Analytics, Data Science, Motif Analysis, Time Series Analysis|

Trendalyze is generally available on the Microsoft Azure cloud platform distributed as a Virtual Machine Image  (Ubuntu) and Docker container for Azure Container Services.

Integration has been provided for a number of the Azure services including:

  • Azure BLOB Storage using WASB
  • Azure Data Lake Store
  • Azure HD Insights
  • Azure IoT Hub
  • Azure SQL Data Warehouse
  • Power BI

The support for Azure is in addition to the support for Amazon Web Services (AWS) platform where the implementation supports Ubuntu Amazon Machine Image (AMI) distribution and Docker container for EC2 Container Services (ECS).

28 06, 2015

Interactive low-latency motif discovery at scale

2016-12-28T00:21:14+00:00 Analytics, Motif Analysis, Time Series Analysis, Uncategorized|

Many algorithms have been developed in the academic world for Motif/time series analysis such as the popular dynamic time warping (DTW). However, most such algorithms have not been implemented to scale and as a result can not provide interactive low-latency response times needed for web applications when dealing with large data sets.

Parallel processing frameworks (such as map reduce) can improve the performance but require large (and expensive) clusters of servers to achieve significant improvements in response times. The expectation of users is often set by using OLAP tools or internet search engines where sub-second response times are the norm.

At Trendalyze Decisions, we have implemented our own patent-pending techniques that can accomplish low latency interactive response times when processing large number of time series for motif search, match and ranking.

This is illustrated below using data from NHS England comparing Trendalyze on a single node with Map Reduce on five nodes:

Scalability Chart

 

3 02, 2015

European Union Future Internet – FIWARE

2016-12-28T00:21:15+00:00 Analytics, eHealth, European Union, FIWARE, IoT Oportyunity, Motif Analysis, Time Series Analysis|

We are pleased to announce that Trendalyze Decisions Ltd is participating in the European Union Future Internet programme known as FIWARE.

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FIWARE is an innovative, open cloud-based infrastructure for cost-effective creation and delivery of Future Internet applications and services, at a scale not seen before. FIWARE API specifications are public and royalty-free, driven by the development of an open source reference implementation which accelerates the availability of commercial products and services based on FIWARE technologies. The FICHe programme selected a number of European small and mid-sized enterprises and startups to develop innovative applications in the eHealth domain using FIWARE technology.

 

Our work leverages and expands the FIWARE generic enablers for Big Data and Internet of Things (IoT). We are also working with FIWARE team to establish London based secure nodes which can conform with UK National Health Service (NHS) information governance and cloud computing standards available to the broader UK public sector through the G-Cloud framework.

The Trendalyze Decisions platform enables IoT search and match based on patterns and trends in the data generated by sensors, wearables and other devices. Within health and social care there are many applications including patient monitoring.

2 02, 2015

Trendalyze Decisions Ltd

2016-06-05T22:28:52+00:00 Analytics, IoT Oportyunity, Motif Analysis, Time Series Analysis|

Trendalyze Decisions is dedicated to developing and providing a new generation of analytic platform for visual discovery, search, and operational monitoring of frequently occurring patterns (motifs) in time series data streams generated by the internet of things (sensors, wearables, mobile apps and networks).  The rapid adoption of IoT has created a tremendous opportunity to capture and unlock knowledge from time series data.  Cisco Consulting Services also estimates that analytics will drive $7.3T cialis with food of the $19T Internet of Everything (IoE) opportunity over the next 10 years. “To capture this opportunity, a new approach is needed to get analytics to the data for instant insights.” (Cisco, 2014)