SlideShare a Scribd company logo
LOADING PARCELS INTO
SMALLWORLD GIS
VIA FME
Gamze Cetken
Sr. GIS Technical Systems Analyst
Before 2012
Raster Data
AutoCAD
After 2012
Vector Data
GE Smallworld –
EO/GDO 4.2
2
PSE GIS HISTORY
University of
Washington
Forestry
Department
Advantages
Statewide Normalized Data
Free
Disadvantages
Not the latest County
Parcel Data
Takes long time between
the updates
Risk – Funding Issues
3
PARCELS…FIRST ATTEMPT
Direct
Download/Purchase
from Counties
Advantages
Latest Updates
whenever required
Disadvantages
Data not normalized
Not just different fields
but different data
capturing techniques
as well
4
PARCELS…CURRENT PROCESS
Getting Data
from Counties
• Shapefile
• Shapefile with
Assessor
Table
FME (SAFE
Software)
• Workbenches
specific for
each county
• Field to Field
Mapping
GE Smallworld
• Parcel and
Address
• 1: many
relationship
5
THE BIG PLAN
EXTRACT TRANSFORM LOAD
EXTRACT
• Easy
• Which fields do we need in GIS?
TRANSFORM
• Hard
• Data Analysis, Data Manipulation, Data Reprojection
• Right tools need to be selected – otherwise no Load
LOAD
• Medium
• All mandatory fields need to be populated including hidden
fields
6
ETL – EXTRACT TRANSFORM LOAD
7
WHY TRANSFORM AND FME TOOLS ARE
SO IMPORTANT?
“System of
Record”
as-is
FME Tools
addressing
each
county’s
data issues
Successful
Load into
GIS
8
A SIMPLE PROCESS IN FME
9
Different Parcel IDs
Same Polygon Area
Different Addresses
• Data: Parcel Shapefile
• Use : Multi Family Residence
EXAMPLE-1
SNOHOMISH COUNTY DATA
Result:
• 6 Parcel and Parcel
Annotation entries
at the same location
10
EXAMPLE-1
SNOHOMISH COUNTY
23709 and 23711
placed on top of
each other
ISSUE
11
EXAMPLE-1
SNOHOMISH COUNTY FME WORKBENCH
Result:
• Successful load of
parcels and
addresses
• Successful Parcel
Annotation
12
EXAMPLE-1
SNOHOMISH COUNTY RESULT
13
EXAMPLE-2
THURSTON COUNTY DATA
• Data: Parcel Shapefile
• Use : Multi Family Residence
Different
Parcel IDs
Different Unit
Numbers
Address:
1700 Cooper Point Rd SW
14
EXAMPLE-2
THURSTON COUNTY ISSUE
15
EXAMPLE-2
THURSTON COUNTY RESULT
16
EXAMPLE-3
KITTITAS COUNTY
• Data : Parcel Shapefile and Assessor Data in MS Access
DATA
17
EXAMPLE-3
KITTITAS COUNTY
02602 N Columbia St Ellensburg
Issue #1:
• House Number is not stored in
a separate field.
• In GIS House Number is a
mandatory field
Issue #2:
• In some addresses house
numbers do not exist
ISSUE
House#
Prefix
Street
Name
Type
City
Evergreen Way EastonStreet
Name
Type
City
18
EXAMPLE-3
KITTITAS COUNTY FME WORKBENCH
19
EXAMPLE-3
KITTITAS COUNTY RESULT
20
EXAMPLE-3
KITTITAS COUNTY RESULT
21
EXAMPLE-4
KITSAP COUNTY
• Data: Parcel Shapefile and Address Point Shapefile
DATA
22
EXAMPLE-4
KITSAP COUNTY ISSUE
 One or more address
points per parcel
23
EXAMPLE-4
KITSAP COUNTY FME WORKBENCH
24
EXAMPLE-4
KITSAP COUNTY RESULT
25
EXAMPLE-4
KITSAP COUNTY RESULT
ESRI SW GIS
FME
Different Data
Capturing
Methods
Parcel IDs
missing
Full Address
lines
Empty
Address
fields
Using “XXX”
when house
numbers are not
available
House
Numbers
missing
26
COMMON DATA PROBLEMS
White Space
Management
Script run after parcels
are inserted
House Numbers with
“0” values are not
shown
27
PARCEL ANNOTATION
28
INTERIM PARCEL UPDATE PROCESS
• All County Parcels
• Source: County
• Source Data = CountyGIS (e.g. KitsapGIS)
Existing
• All New Development Area Parcels
• Source: CAD Files, County (new additions)
• Source Data = PSE
Temporary
• Placeholder Status for newly inserted county parcels
• Insert all new parcels as “Planned”
• Delete “Existing” old version of County Parcels
• Then change all parcels with “Planned” status to “Existing”
Planned
Parcel Status Parcel Update Process
29
HOW LONG DOES IT TAKE?
Parcel Update
Process
Insert Parcel Data
into GIS via FME
45 min to 6 hrs
Delete “Existing”
Parcels
6 to 12 hours
Change “Planned”
Parcels’ Status to
“Existing”
25 min to 1 hr
Place Parcel
Annotation
2 to 10 days
Merge and Post
to Top
12 to 18 hours
Min Time : 2 days 19 hrs
Max Time : 11 days 13 hrs
 UpdateDetector Transform Tool
 We will focus only on Updates/Deletes and New Inserts
 It will save us time (weeks) by omitting the duplicated effort
30
WHAT’S NEXT?
THANK YOU
31
QUESTIONS?
32BAKER RIVER HYDROELECTRIC
PUGET SOUND ENERGY
Gamze Cetken
Sr. GIS Systems Analyst
gamze.cetken@pse.com
For more information visit
www.fme.com
www.spatialbiz.com
Contact: Ryan Cauffman
Email: ryan@spatialbiz.com
Phone: (303) 847-4525
Special Thanks to Andy Street
from SpatialBiz for helping out
with all the FME workbenches!
CONTACT INFO

More Related Content

More from Safe Software

Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Safe Software
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
The Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and InsightThe Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and Insight
Safe Software
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Safe Software
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action:  Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action:  Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Safe Software
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Safe Software
 
Powering Real-Time Decisions with Continuous Data Streams
Powering Real-Time Decisions with Continuous Data StreamsPowering Real-Time Decisions with Continuous Data Streams
Powering Real-Time Decisions with Continuous Data Streams
Safe Software
 
The Critical Role of Spatial Data in Today's Data Ecosystem
The Critical Role of Spatial Data in Today's Data EcosystemThe Critical Role of Spatial Data in Today's Data Ecosystem
The Critical Role of Spatial Data in Today's Data Ecosystem
Safe Software
 
Cloud Revolution: Exploring the New Wave of Serverless Spatial Data
Cloud Revolution: Exploring the New Wave of Serverless Spatial DataCloud Revolution: Exploring the New Wave of Serverless Spatial Data
Cloud Revolution: Exploring the New Wave of Serverless Spatial Data
Safe Software
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Safe Software
 
The Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and InsightThe Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and Insight
Safe Software
 
Mastering MicroStation DGN: How to Integrate CAD and GIS
Mastering MicroStation DGN: How to Integrate CAD and GISMastering MicroStation DGN: How to Integrate CAD and GIS
Mastering MicroStation DGN: How to Integrate CAD and GIS
Safe Software
 
Geospatial Synergy: Amplifying Efficiency with FME & Esri
Geospatial Synergy: Amplifying Efficiency with FME & EsriGeospatial Synergy: Amplifying Efficiency with FME & Esri
Geospatial Synergy: Amplifying Efficiency with FME & Esri
Safe Software
 
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdfIntroducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
Safe Software
 
Breaking Barriers & Leveraging the Latest Developments in AI Technology
Breaking Barriers & Leveraging the Latest Developments in AI TechnologyBreaking Barriers & Leveraging the Latest Developments in AI Technology
Breaking Barriers & Leveraging the Latest Developments in AI Technology
Safe Software
 
Best Practices to Navigating Data and Application Integration for the Enterpr...
Best Practices to Navigating Data and Application Integration for the Enterpr...Best Practices to Navigating Data and Application Integration for the Enterpr...
Best Practices to Navigating Data and Application Integration for the Enterpr...
Safe Software
 

More from Safe Software (20)

Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
The Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and InsightThe Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and Insight
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action:  Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action:  Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Powering Real-Time Decisions with Continuous Data Streams
Powering Real-Time Decisions with Continuous Data StreamsPowering Real-Time Decisions with Continuous Data Streams
Powering Real-Time Decisions with Continuous Data Streams
 
The Critical Role of Spatial Data in Today's Data Ecosystem
The Critical Role of Spatial Data in Today's Data EcosystemThe Critical Role of Spatial Data in Today's Data Ecosystem
The Critical Role of Spatial Data in Today's Data Ecosystem
 
Cloud Revolution: Exploring the New Wave of Serverless Spatial Data
Cloud Revolution: Exploring the New Wave of Serverless Spatial DataCloud Revolution: Exploring the New Wave of Serverless Spatial Data
Cloud Revolution: Exploring the New Wave of Serverless Spatial Data
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
 
The Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and InsightThe Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and Insight
 
Mastering MicroStation DGN: How to Integrate CAD and GIS
Mastering MicroStation DGN: How to Integrate CAD and GISMastering MicroStation DGN: How to Integrate CAD and GIS
Mastering MicroStation DGN: How to Integrate CAD and GIS
 
Geospatial Synergy: Amplifying Efficiency with FME & Esri
Geospatial Synergy: Amplifying Efficiency with FME & EsriGeospatial Synergy: Amplifying Efficiency with FME & Esri
Geospatial Synergy: Amplifying Efficiency with FME & Esri
 
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdfIntroducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
 
Breaking Barriers & Leveraging the Latest Developments in AI Technology
Breaking Barriers & Leveraging the Latest Developments in AI TechnologyBreaking Barriers & Leveraging the Latest Developments in AI Technology
Breaking Barriers & Leveraging the Latest Developments in AI Technology
 
Best Practices to Navigating Data and Application Integration for the Enterpr...
Best Practices to Navigating Data and Application Integration for the Enterpr...Best Practices to Navigating Data and Application Integration for the Enterpr...
Best Practices to Navigating Data and Application Integration for the Enterpr...
 

Recently uploaded

Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024
Jason Packer
 
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of GermanyPresentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
innovationoecd
 
GenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizationsGenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizations
kumardaparthi1024
 
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc
 
“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”
Claudio Di Ciccio
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Edge AI and Vision Alliance
 
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI modelsInfrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
Zilliz
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Tosin Akinosho
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
panagenda
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Zilliz
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Malak Abu Hammad
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
akankshawande
 
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxOcean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
SitimaJohn
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Quotidiano Piemontese
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Zilliz
 
Taking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdfTaking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdf
ssuserfac0301
 
Mariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceXMariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceX
Mariano Tinti
 

Recently uploaded (20)

Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024
 
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of GermanyPresentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
 
GenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizationsGenAI Pilot Implementation in the organizations
GenAI Pilot Implementation in the organizations
 
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy Survey
 
“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
 
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI modelsInfrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development ProvidersYour One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
 
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxOcean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
 
Taking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdfTaking AI to the Next Level in Manufacturing.pdf
Taking AI to the Next Level in Manufacturing.pdf
 
Mariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceXMariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceX
 

Loading Parcels Into Smallworld GIS via FME

Editor's Notes

  1. We will accept you as is but in the meantime we want to have a load the way we want it. We are trying to create unique workbenches for each county that would work perfectly at every time with min effort. That’s the goal.