Automated Quality Controls with FME

•

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This presentation shows how well FME works with ISO standards in quality control and how an FME Server validation service can be used to support data management in a data distribution workflow.

Tecnologia Negócios

CONNECT. TRANSFORM. AUTOMATE.
Automated quality controls
with FME
Anna Halvarsson and Johan Esko
Metria

.
How do I
know if the data
meet my quality
demands?

Definition of quality
 “The degree to which
a set of inherent
characteristics fulfills
requirements”
 ISO 9000:2000

Swedish Technology Journal
 “Short wheelbase and minimal overhang at the front and
rear, combined with high ground clearance makes it
extremely well suited to continue the drive where the road
ends. Indeed the Niva outperform the Porsche
Cayenne, which in comparison is clumsy as an
elephant with a backpack in a supermarket”.
(Teknikens värld, 2006)
 Comment:
 “If it is the terrain capabilities that is evaluated, the Niva
fulfils the quality requirements better than the Porsche.”

Best quality?
Which one of these view services delivers data with the
highest positional accuracy?

Data QC service - Pilot project
Objectives:
1. The QC service shall in a
standardized and traceable way
describe the quality of data
2. The QC service shall automatically
perform the controls
3. The QC process shall be the link
between the EPA:s manuals and
the result published by the data
host.

Applies to both
cars and bikes
Choose the right track for the solution

Excelfile
Shapefile
Excelfile
SchemaMapper
SchemaMapper
SchemaMapper
XMLTemplater
XMLTemplater
XMLValidator
File for QC Harmonise data Create XML/GML
(applicationschema)
Test 1
DQ _Logical
consistency
Counter
Test 2
DQ_Completeness
Tester
DQ X
DQ_ Element
Transformer
Transformer
Metadata
(XML)
XMLTemplater
Readable QC
report
ISO 19156
O&M
ISO 19131 Data Product specifcation
ISO 19157 Data Quality
ISO 19157 DQ ISO 19157 DQ
ISO 19115 Metadata
XSD-file
Air quality reports
Environmental monitoring type 2

Result files
Quality control of
Air data
Quality control of
Sediment data
Quality control of
Biota data
Validate and deliver environmental monitoring data
Select file for quality control:

Finally
• During 2014 the validation service will
be launched in version 1.0.
• In Sweden a number of agencies have
started to work with Product
specifications and quality controls
according to ISO standards.
• Private companies are also showing
much more interest in data quality
issues than they did a couple of years
ago.

Thank you!
Johan Esko
johan.esko@metria.se
+46 10 121 81 29
Anna Halvarsson
anna.halvarsson@metria.se
+46 10 121 81 49

Thank You!
 Questions?
 For more information:
 Anna Halvarsson, anna.halvarsson@metria.se
 Johan Esko, johan.esko@metria.se
Metria AB, Sweden
www.metria.se
CONNECT. TRANSFORM. AUTOMATE.

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Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the deployment of external web forms using Jotform for Bonterra Impact Management. This solution can be customized to your organization’s needs and deployed to support the common use cases below: - Intake and consent - Assessments - Surveys - Applications - Program registration Interested in deploying web form automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.

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The microservices honeymoon is over. When starting a new project or revamping a legacy monolith, teams started looking for alternatives to microservices. The Modular Monolith, or 'Modulith', is an architecture that reaps the benefits of (vertical) functional decoupling without the high costs associated with separate deployments. This talk will delve into the advantages and challenges of this progressive architecture, beginning with exploring the concept of a 'module', its internal structure, public API, and inter-module communication patterns. Supported by spring-modulith, the talk provides practical guidance on addressing the main challenges of a Modultith Architecture: finding and guarding module boundaries, data decoupling, and integration module-testing. You should not miss this talk if you are a software architect or tech lead seeking practical, scalable solutions. About the author With two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

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Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

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1. CONNECT. TRANSFORM. AUTOMATE. Automated quality controls with FME Anna Halvarsson and Johan Esko Metria

2. . How do I know if the data meet my quality demands?

3. Definition of quality  “The degree to which a set of inherent characteristics fulfills requirements”  ISO 9000:2000

4. Best quality?

5. Swedish Technology Journal  “Short wheelbase and minimal overhang at the front and rear, combined with high ground clearance makes it extremely well suited to continue the drive where the road ends. Indeed the Niva outperform the Porsche Cayenne, which in comparison is clumsy as an elephant with a backpack in a supermarket”. (Teknikens värld, 2006)  Comment:  “If it is the terrain capabilities that is evaluated, the Niva fulfils the quality requirements better than the Porsche.”

6. Best quality? Which one of these view services delivers data with the highest positional accuracy?

7. How to manage quality in my SDI?

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13. Data QC service - Pilot project Objectives: 1. The QC service shall in a standardized and traceable way describe the quality of data 2. The QC service shall automatically perform the controls 3. The QC process shall be the link between the EPA:s manuals and the result published by the data host.

14. Applies to both cars and bikes Choose the right track for the solution

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19. Excelfile Shapefile Excelfile SchemaMapper SchemaMapper SchemaMapper XMLTemplater XMLTemplater XMLValidator File for QC Harmonise data Create XML/GML (applicationschema) Test 1 DQ _Logical consistency Counter Test 2 DQ_Completeness Tester DQ X DQ_ Element Transformer Transformer Metadata (XML) XMLTemplater Readable QC report ISO 19156 O&M ISO 19131 Data Product specifcation ISO 19157 Data Quality ISO 19157 DQ ISO 19157 DQ ISO 19115 Metadata XSD-file Air quality reports Environmental monitoring type 2

20. Result files Quality control of Air data Quality control of Sediment data Quality control of Biota data Validate and deliver environmental monitoring data Select file for quality control:

21. Metadata XML ISO 19139 QC report HTML

22. Finally • During 2014 the validation service will be launched in version 1.0. • In Sweden a number of agencies have started to work with Product specifications and quality controls according to ISO standards. • Private companies are also showing much more interest in data quality issues than they did a couple of years ago.

23. Thank you! Johan Esko johan.esko@metria.se +46 10 121 81 29 Anna Halvarsson anna.halvarsson@metria.se +46 10 121 81 49

24. Thank You!  Questions?  For more information:  Anna Halvarsson, anna.halvarsson@metria.se  Johan Esko, johan.esko@metria.se Metria AB, Sweden www.metria.se CONNECT. TRANSFORM. AUTOMATE.

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