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Ratings and Reviews 0 Ratings
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What is DataCurrent?
The real-time observation of rainfall using rain gauges allows operations teams to swiftly recognize possible flooding or sewer overflow incidents. By meticulously monitoring and analyzing precipitation levels across multiple locations, one can estimate rainfall in regions that lack direct measurement, employing the technique known as “Distributed Rainfall Modelling Technique” (DRMT). Moreover, merging rainfall radar data with rain gauge measurements enhances the creation of detailed rainfall coverage maps. Analyzing historical rainfall statistics also aids in developing rainfall intensity-duration curves, which can be matched against the region's design intensity-duration-frequency curves, facilitating the determination of return periods for significant events through forensic examination. Additionally, new intensity-duration-frequency curves can be established, influencing the design of essential drainage infrastructure such as sewers, channels, and storage systems. The ongoing analysis of flow data, in conjunction with rainfall information, leads to the formation of rainfall versus stormwater runoff response curves, which play a crucial role in accurately calibrating drainage models. This thorough methodology guarantees that urban planning and flood management initiatives are not only informed but also adapt effectively to real-time environmental conditions, ultimately enhancing community resilience to extreme weather events.
What is AtScale?
AtScale optimizes and simplifies business intelligence, resulting in faster insights, enhanced decision-making, and increased returns on cloud analytics investments. By alleviating the burden of tedious data engineering tasks like data curation and delivery for analysis, AtScale enables teams to concentrate on crucial strategic initiatives. The centralization of business definitions guarantees consistency in KPI reporting across various business intelligence platforms. This innovative solution not only accelerates the insight-gathering process but also manages cloud computing costs more efficiently. You can leverage existing data security measures for analytics, irrespective of where the data resides. With AtScale’s Insights workbooks and models, users can perform multidimensional Cloud OLAP analyses on data from multiple sources without needing to prepare or engineer the data beforehand. Our user-friendly dimensions and measures are crafted to expedite insight generation that directly influences business strategies, allowing teams to make well-informed decisions swiftly. Ultimately, AtScale equips organizations to unlock the full potential of their data while reducing the complexities typically associated with conventional analytics processes. Furthermore, this approach fosters a more agile environment where data-driven insights can swiftly translate into actionable strategies, further enhancing overall business performance.
Integrations Supported
Amazon Web Services (AWS)
Cloudera
Microsoft Power Query
Skott
Tableau
jethro
Integrations Supported
Amazon Web Services (AWS)
Cloudera
Microsoft Power Query
Skott
Tableau
jethro
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Smart City Water
Company Location
Canada
Company Website
smartcitywater.ca/datacurrent/
Company Facts
Organization Name
AtScale
Date Founded
2013
Company Location
United States
Company Website
www.atscale.com
Categories and Features
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge