This document describes the DA_MAP project, which aims to create a desktop application for METOC (meteorology and oceanography) data analysis and modeling. The application will integrate data access, visualization, and analysis tools to allow users to more easily find, access, and analyze diverse METOC data. Key aspects of the project include using Java and XML technologies, providing search and query of metadata stored in XML format, and including interactive visualization and analysis modules. Screenshots show examples of the data registration, search and query, and analysis modules with features like model output overlays, time series plots, and difference maps.
En esta presentación examinamos los roles y responsabilidades en la administración de SQL Azure.
Saludos,
Eduardo Castro Martinez – Microsoft SQL Server MVP
http://mswindowscr.org
http://comunidadwindows.org
Costa Rica
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Hands-On with U-SQL and Azure Data Lake Analytics (ADLA)Jason L Brugger
U-SQL is the query language for big data analytics on the Azure Data Lake platform. This session will explore the unification of SQL and C# in this new query language, examples of combining data from external sources such as Azure SQL Database and Blob storage with Azure Data Lake store, creating and referencing assemblies, job submission and tools. The ADL platform will also be compared and contrasted to the HDInsight/Hadoop platform.
Simplify CDC Pipeline with Spark Streaming SQL and Delta LakeDatabricks
Change Data Capture CDC is a typical use case in Real-Time Data Warehousing. It tracks the data change log -binlog- of a relational database [OLTP], and replay these change log timely to an external storage to do Real-Time OLAP, such as delta/kudu. To implement a robust CDC streaming pipeline, lots of factors should be concerned, such as how to ensure data accuracy , how to process OLTP source schema changed, whether it is easy to build for variety databases with less code.
Survey of SQL Azure, SQL Azure Data Sync, SQL Azure OData Feeds, SQL Azure Data Migration Wizard, Roadmap, and PowerPivot Integration. Given on Day of Azure 2, Dec 4th, 2010. Presented by Ike Ellis & Lynn Langit
En esta presentación examinamos los roles y responsabilidades en la administración de SQL Azure.
Saludos,
Eduardo Castro Martinez – Microsoft SQL Server MVP
http://mswindowscr.org
http://comunidadwindows.org
Costa Rica
Technorati Tags: SQL Server
LiveJournal Tags: SQL Server
del.icio.us Tags: SQL Server
http://ecastrom.blogspot.com
http://ecastrom.wordpress.com
http://ecastrom.spaces.live.com
http://universosql.blogspot.com
http://todosobresql.blogspot.com
http://todosobresqlserver.wordpress.com
http://mswindowscr.org/blogs/sql/default.aspx
http://citicr.org/blogs/noticias/default.aspx
Hands-On with U-SQL and Azure Data Lake Analytics (ADLA)Jason L Brugger
U-SQL is the query language for big data analytics on the Azure Data Lake platform. This session will explore the unification of SQL and C# in this new query language, examples of combining data from external sources such as Azure SQL Database and Blob storage with Azure Data Lake store, creating and referencing assemblies, job submission and tools. The ADL platform will also be compared and contrasted to the HDInsight/Hadoop platform.
Simplify CDC Pipeline with Spark Streaming SQL and Delta LakeDatabricks
Change Data Capture CDC is a typical use case in Real-Time Data Warehousing. It tracks the data change log -binlog- of a relational database [OLTP], and replay these change log timely to an external storage to do Real-Time OLAP, such as delta/kudu. To implement a robust CDC streaming pipeline, lots of factors should be concerned, such as how to ensure data accuracy , how to process OLTP source schema changed, whether it is easy to build for variety databases with less code.
Survey of SQL Azure, SQL Azure Data Sync, SQL Azure OData Feeds, SQL Azure Data Migration Wizard, Roadmap, and PowerPivot Integration. Given on Day of Azure 2, Dec 4th, 2010. Presented by Ike Ellis & Lynn Langit
In 2013:
- 1.4 Trillion digital interactions happen per month.
- 2.9 million emails are sent every second.
- 72.9 products are ordered on Amazon per second.
That is a lot of connected data, graphs are truly everywhere. Companies are finding that graph database technology is helping them make sense of their big data.
Objectivity’s Nick Quinn, Chief Architect of InfiniteGraph, shows us just how popular graph databases have become and where they are being used, as well as showing us the ins and outs.
Do you want to build technology that does great things with big data? You might want to find out what your colleagues are Tweeting about, make recommendations for apps, music or other retail that result in higher purchase rates, discover hidden connections between new and recorded medical research data, or maybe even leverage intel across government agencies to catch the bad guys.
All this is possible with a graph database.
Hadoop World 2011: Unlocking the Value of Big Data with Oracle - Jean-Pierre ...Cloudera, Inc.
Analyzing new and diverse digital data streams can reveal new sources of economic value, provide fresh insights into customer behavior and identify market trends early on. But this influx of new data can create challenges for IT departments. To derive real business value from Big Data, you need the right tools to capture and organize a wide variety of data types from different sources, and to be able to easily analyze it within the context of all your enterprise data. Attend this session to learn how Oracle’s end-to-end value chain for Big Data can help you unlock the value of Big Data.
Introduction to Azure Data Lake and U-SQL for SQL users (SQL Saturday 635)Michael Rys
Data Lakes have become a new tool in building modern data warehouse architectures. In this presentation we will introduce Microsoft's Azure Data Lake offering and its new big data processing language called U-SQL that makes Big Data Processing easy by combining the declarativity of SQL with the extensibility of C#. We will give you an initial introduction to U-SQL by explaining why we introduced U-SQL and showing with an example of how to analyze some tweet data with U-SQL and its extensibility capabilities and take you on an introductory tour of U-SQL that is geared towards existing SQL users.
slides for SQL Saturday 635, Vancouver BC, Aug 2017
best embedded training in chennai
With our custom designed hardware kits and web based assessment program mes we ensure that students passing out of our academy apply all the skills acquired from our training in their professional careers. We also specialize in giving Corporate Training and conducting Long Term, Medium Term and Short Term Embedded System Design Workshops in colleges.
urabee Training Programmes
Embedded System Design
Level 1. Embedded Foundation
Level 2. Embedded Basic
Level 3. Embedded Intermediate
Level 4. Embedded Advanced
Level 5. Embedded Expert
C Language & Programming
1 Basic C
2 Advanced C
Please Contact:
Contact no 9551699444
164, Arcot Road, Valasaravakkam, Chennai - 600087. (Near Kesavardhini Bus Stop)
In 2013:
- 1.4 Trillion digital interactions happen per month.
- 2.9 million emails are sent every second.
- 72.9 products are ordered on Amazon per second.
That is a lot of connected data, graphs are truly everywhere. Companies are finding that graph database technology is helping them make sense of their big data.
Objectivity’s Nick Quinn, Chief Architect of InfiniteGraph, shows us just how popular graph databases have become and where they are being used, as well as showing us the ins and outs.
Do you want to build technology that does great things with big data? You might want to find out what your colleagues are Tweeting about, make recommendations for apps, music or other retail that result in higher purchase rates, discover hidden connections between new and recorded medical research data, or maybe even leverage intel across government agencies to catch the bad guys.
All this is possible with a graph database.
Hadoop World 2011: Unlocking the Value of Big Data with Oracle - Jean-Pierre ...Cloudera, Inc.
Analyzing new and diverse digital data streams can reveal new sources of economic value, provide fresh insights into customer behavior and identify market trends early on. But this influx of new data can create challenges for IT departments. To derive real business value from Big Data, you need the right tools to capture and organize a wide variety of data types from different sources, and to be able to easily analyze it within the context of all your enterprise data. Attend this session to learn how Oracle’s end-to-end value chain for Big Data can help you unlock the value of Big Data.
Introduction to Azure Data Lake and U-SQL for SQL users (SQL Saturday 635)Michael Rys
Data Lakes have become a new tool in building modern data warehouse architectures. In this presentation we will introduce Microsoft's Azure Data Lake offering and its new big data processing language called U-SQL that makes Big Data Processing easy by combining the declarativity of SQL with the extensibility of C#. We will give you an initial introduction to U-SQL by explaining why we introduced U-SQL and showing with an example of how to analyze some tweet data with U-SQL and its extensibility capabilities and take you on an introductory tour of U-SQL that is geared towards existing SQL users.
slides for SQL Saturday 635, Vancouver BC, Aug 2017
best embedded training in chennai
With our custom designed hardware kits and web based assessment program mes we ensure that students passing out of our academy apply all the skills acquired from our training in their professional careers. We also specialize in giving Corporate Training and conducting Long Term, Medium Term and Short Term Embedded System Design Workshops in colleges.
urabee Training Programmes
Embedded System Design
Level 1. Embedded Foundation
Level 2. Embedded Basic
Level 3. Embedded Intermediate
Level 4. Embedded Advanced
Level 5. Embedded Expert
C Language & Programming
1 Basic C
2 Advanced C
Please Contact:
Contact no 9551699444
164, Arcot Road, Valasaravakkam, Chennai - 600087. (Near Kesavardhini Bus Stop)
»Spring 3« ist da. Vieles ist geblieben, manches verschwunden, manches neu. Spring 3 verspricht eine verbesserte und dynamischere Konfiguration, einen leistungsfähigen und mächtigen REST-Support und viele kleine Verbesserungen. Parallel zu dem Spring 3-Release wurden auch andere Tools und Projekte aktualisiert, auf die wir ebenfalls einen Blick werfen wollen:
* Wichtige Änderungen
* Java Configuration
* Spring Expression Language
* Spring MVC und Rest
* Embedded Database
* SpringSource Toolsuite
* Spring Roo
* Grails
An architecture for federated data discovery and lineage over on-prem datasou...DataWorks Summit
Comcast's Streaming Data platform comprises a variety of ingest, transformation, and storage services in the public cloud. Peer-reviewed Apache Avro schemas support end-to-end data governance. We have previously reported (DataWorks Summit 2017) on how we extended Atlas with custom entity and process types for discovery and lineage in the AWS public cloud. Custom lambda functions notify Atlas of creation of new entities and new lineage links via asynchronous kafka messaging.
Recently we were presented the challenge of providing integrated data discovery and lineage across our public cloud datasources and on-prem datasources, both Hadoop-based and traditional data warehouses and RDBMSs. Can Apache Atlas meet this challenge? A resounding yes! This talk will present our federated architecture, with Atlas providing SQL-like, free-text, and graph search across select metadata from all on-prem and public cloud data sources in our purview. Lightweight, custom connectors/bridges identify metadata/lineage changes in underlying sources and publish them to Atlas via the asynchronous API. A portal layer provides Atlas query access and a federation of UIs. Once data of interest is identified via Atlas queries, interfaces specific to underlying sources may be used for special-purpose metadata mining.
While metadata repositories for data discovery and lineage abound, none of them have built-in connectors and listeners for the entire complement of data sources that Comcast and many other large enterprises use to support their business needs. In-house-built solutions typically underestimate the cost of development and maintenance and often suffer from architecture-by-accretion. Atlas' commitment to extensibility, built-in provision of typed, free-text, and graph search, and REST and asynchronous APIs, position it uniquely in the build-vs-buy sweet spot.
6° Sessione - Ambiti applicativi nella ricerca di tecnologie statistiche avan...Jürgen Ambrosi
In questa sessione vedremo, con il solito approccio pratico di demo hands on, come utilizzare il linguaggio R per effettuare analisi a valore aggiunto,
Toccheremo con mano le performance di parallelizzazione degli algoritmi, aspetto fondamentale per aiutare il ricercatore nel raggiungimento dei suoi obbiettivi.
In questa sessione avremo la partecipazione di Lorenzo Casucci, Data Platform Solution Architect di Microsoft.
Etosha - Data Asset Manager : Status and road mapDr. Mirko Kämpf
Etosha is an enterprise focused collaborative graph database with facts about data sets, analysis procedures, and research methods. People from multiple organizations can be connected while every owner retains full control about its own data.
ASHviz - Dats visualization research experiments using ASH dataJohn Beresniewicz
RMOUG Training Days 2020 abstract:
The Active Session History (ASH) mechanism is a rich source of fine-grained data about database activity, and is the lynchpin for many database performance management features in the Diagnostic and Tuning packs. Many interesting stories about happenings in the database are buried in ASH waiting to be revealed, and data visualization is key to sifting these out from the high dimensionality and volume of ASH data. The session will cover a number of data visualization experiments conducted using a single ASH dump with an emphasis on the iterative process of discovering useful data visualizations.
AWS Summit Singapore - Managing a Database Migration Project | Best PracticesAmazon Web Services
Blair Layton, Business Development Manager - Database, APAC, AWS
The AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT) help lower costs, risks and the duration of your database migration and data replication projects but, how do you use them to maximum effect? This session will discuss some of the best practices that AWS has learned through our own Professional Services engagements and from customers who have shared their experience.
Graph Databases in the Microsoft EcosystemMarco Parenzan
With SQL Server and Cosmos Db we now have graph databases broadly available, after being studied for decades in Db theory, or being a niche approach in Open Source with Neo4J. And then there are services like Microsoft Graph and Azure Digital Twins that give us vertical implementations of graph. So let's make a walkaround of graphs in the MIcrosoft ecosystem.
Welocme to ViralQR, your best QR code generator.ViralQR
Welcome to ViralQR, your best QR code generator available on the market!
At ViralQR, we design static and dynamic QR codes. Our mission is to make business operations easier and customer engagement more powerful through the use of QR technology. Be it a small-scale business or a huge enterprise, our easy-to-use platform provides multiple choices that can be tailored according to your company's branding and marketing strategies.
Our Vision
We are here to make the process of creating QR codes easy and smooth, thus enhancing customer interaction and making business more fluid. We very strongly believe in the ability of QR codes to change the world for businesses in their interaction with customers and are set on making that technology accessible and usable far and wide.
Our Achievements
Ever since its inception, we have successfully served many clients by offering QR codes in their marketing, service delivery, and collection of feedback across various industries. Our platform has been recognized for its ease of use and amazing features, which helped a business to make QR codes.
Our Services
At ViralQR, here is a comprehensive suite of services that caters to your very needs:
Static QR Codes: Create free static QR codes. These QR codes are able to store significant information such as URLs, vCards, plain text, emails and SMS, Wi-Fi credentials, and Bitcoin addresses.
Dynamic QR codes: These also have all the advanced features but are subscription-based. They can directly link to PDF files, images, micro-landing pages, social accounts, review forms, business pages, and applications. In addition, they can be branded with CTAs, frames, patterns, colors, and logos to enhance your branding.
Pricing and Packages
Additionally, there is a 14-day free offer to ViralQR, which is an exceptional opportunity for new users to take a feel of this platform. One can easily subscribe from there and experience the full dynamic of using QR codes. The subscription plans are not only meant for business; they are priced very flexibly so that literally every business could afford to benefit from our service.
Why choose us?
ViralQR will provide services for marketing, advertising, catering, retail, and the like. The QR codes can be posted on fliers, packaging, merchandise, and banners, as well as to substitute for cash and cards in a restaurant or coffee shop. With QR codes integrated into your business, improve customer engagement and streamline operations.
Comprehensive Analytics
Subscribers of ViralQR receive detailed analytics and tracking tools in light of having a view of the core values of QR code performance. Our analytics dashboard shows aggregate views and unique views, as well as detailed information about each impression, including time, device, browser, and estimated location by city and country.
So, thank you for choosing ViralQR; we have an offer of nothing but the best in terms of QR code services to meet business diversity!
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
DA_MAP
1. June 18, 2003
Sachin Bhate (PI), Jim Corbin, John Van Der Zwaag
Yee Lau and Surya N Renduchintala
Sponsor: Office of Naval Research
2. “Oceanographers are there, researchers are there, there
are models running in every part of ocean, there is a
buoy floating somewhere, there is some data collected
possibly every minute, and there is a weatherman out
somewhere watching for us. It is very important for us
to keep our eyes and ears open, keep a clear mind and
think, how we can build new bridges between these
modelers and data collectors, improve the
communication between researchers and weathermen,
and create a wave of virtual collaboration in
oceanographic and atmospheric community.”
- Sachin Kumar Bhate
3. Motivation behind DA_MAP
Create an application for a METOC data analyst/modeler
that allows more time to be spent on analysis and less on
finding data and figuring out how to use it. It should:
• Integrate data access interactively with
visualization and analysis
• Provide transparent access to diverse data
• Exploit state-of-the-art software technology
• Be easily extensible and platform independent
• Exploit utility of a desktop/laptop computer
• Be intuitive and user friendly
4. Emphasis areas
• NAVOCEANO: Our initial user
• METOC Data Analysis and Model Assessment.
• Ocean model output and in-situ observations
• Data Registration and Metadata
• SearchNQuery mechanism (Correlation)
• Interactive visualization/analysis environment
5. Our Technical Approach
• Java
– Our main driver for application
– Graphical User Interface
– Visualization (Java2D)
– NetCDF Java Interface (Unidata)
• JWS (Java Web Start)
– An application deployment web technology, gives the
user the power to launch full-featured applications
with a click from a standard web browser
– Just an HTTP server is enough
– Facilitates easy installation and updates for
applications
– Launch DA_MAP on any desktop from anywhere.
6. More…
• XML (eXtensible Markup Language)
– Metadata representation and data registration
– Search and query operation
– Easy to understand and implement
– Less maintenance
– Better future prospects
JWS XML
JAVA
7. DA_MAP Architecture
Front End
(JWS, Java, XML, XPath)
Registration Search&Query Data Analysis
Middle Tier
Metadata
HTTP server, JWS,
(XML)
XML
Back End
Local Remote
Data Data
8. Data Flow between different modules of DA_MAP
SearchNQuery Data Registration/Metadata Creation
Access Store
Metadata Metadata
Provide Data (XML records)
Location
Register Data
Metadata
(Create metadata &
Repository
Data Dictionary)
(XML metadata,
Data dictionary)
Access Metadata
and Data
Dictionary
Import Data
Local/Remote
Data Analysis
Data
9. DA MAP Portal
Integrated environment with
access to:
• Setting workspace
• METOC data registration
• Metadata creation
• METOC Data Search
• METOC Data Analysis
• Interactive Analysis
10. Data Registration Module
• Metadata easily read from self describing NetCDF data files
• User interface for mapping variable names (Data Dictionary)
• Metadata stored in XML format.
• Define datatypes to create mappings for a class of
METOC data variables and dimensions to automate
metadata creation for large number of data files.
• Next…..
Closer look at the metadata records…
14. SearchNQuery Module
• XML Query Engine
• Search on small metadata files rather than large primary
data files.
• Data search based on temporal and spatial domain
• Search based on models and observations
• Keyword search
• Save user-defined region
• Query result display in temporal and spatial domain
• Save query results and export directly to METOC Data
Analysis module
16. METOC Data Analysis and Assessment
• Floating interface
• Easy mixing and matching of METOC datasets.
• Interface and functionalities
– Choice of Horizontal and Vertical view
– Choice of base plot.
– Palette associated with each plot.
– Provide new extent for view
– Model data display (SWAFS, NCOM, etc.)
• Colorfill, contours, vectors, Streaklines
– Observation data display (ADCP, drifters, Buoy etc.)
• Horizontal & vertical plots.
– Overlay of model versus model data and
model versus observation
17. More…
• Model time series
• Sigma to Z-level conversion
• Vertical Stacking of time series plots
• Interactivity within the display
• Import data directly into analysis module
• Difference Maps, Color legend
• Editors for various functions
19. METOC Data Header information Quick View
Visualization View
Selection
20. METOC
Data
Analysis
Display
Window
Depicting
Various
Features
Data Source:
NAVOCEANO
(Public Release
Approved)
21. Model Contours, Colorfills & Currents (SWAFS)
Editors associated
with these views
• Scalar Editor
• Vector Editor
• Palette Editor
• Grid Editor
Model Currents
Sea Temperature
Streak lines
Data Source:
NAVOCEANO (Public Release Approved)
22. Model Contours, Colorfills & Currents (NCOM)
Sea Temperature Sea Temperature & Model currents
Editors associated with these views
Data Source:
• Scalar & Vector Editor Florida State University
• Palette Editor (COAPS)
23. Observations (Shipboard ADCP)
Horizontal Plots
ADCP ‘U’ Component at certain time & depth ADCP ‘U&V’ Component at certain time & depth
Editors associated with these views
• Horizontal View Editor (Scalar & Vector)
• Palette Editor
• Grid Editor
Note: ADCP data synthesized. Tracks &
values associated not true.
24. Observations (Shipboard ADCP)
Time Series (U Component)
Time Series Stack (U, V & W Component)
Stick Plots (U&V Component)
Editors associated
with these views
• Vertical View
Editor (Scalar &
Vector)
• Palette Editor
• Axes Editor
Note: ADCP data synthesized. Time & values associated not
25. Overlays Model & Observations
Stick Plots: Horizontal Plots:
Model current v/s ADCP current Model ‘U’ v/s ADCP ‘U’ Component
Note: ADCP & Model data synthesized. Tracks &
model data values associated not true.
26. Interactive Polygon over METOC Data Display to find
Correlated METOC Data
User can create a polygon over an area of
interest on any DA_MAP display to find
METOC data (model or observations) correlated
in time and space.
Results on next page…..
Note: ADCP data synthesized. Tracks &
values associated not true.
27. Display Correlated Data (overlaid)
Time Series Stack Horizontal overlay
(Observation & model Current) (Observation & model Current)
Note: ADCP & Model data synthesized. Tracks &
model data values associated not true.