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How to
Migrate to GraphDB
in 10 easy to follow steps
1
Getting an
integrated view
of enterprise
data is
paramount to
taking the right
action in our
data-driven
world.
M a k i n g s e n s e o f t e x t a n d d a t a
2
And this is
exactly what
GraphDB is built for.
3
It’s purpose is
to help organizations
“know” more and
do more with data.
Developed with the view to
handle data only once, GraphDB
is a future-proof system for
managing your data.
4
Legacy data, master data, open data, third-party data, no matter what
type, GraphDB offers a single entry point to all this knowledge,
unleashing the power of data integration.
5
6
It operates like
a smart brain on top
of legacy systems,
capable of bringing
meaning to your data
from diverse external
datasets. Getting this
smart brain for your
enterprise data
is now easier.
7
It takes only 10 steps
8
Welcome to our GraphDB Migration Service!
It’s an A-Z service that will help you prepare for
migrating your data to GraphDB, walking you
through the setup, and monitoring the
performance of your systems.
[Instituting GraphDB as your new RDF database technology is simple, even if you
already have other RDF database in place.]
9
Step 1: Validate Data Modeling
We will help you
analyze your current data
modeling and validate
if it is optimal.
10
Step 2: Profile Slow Queries This is where we will analyze
slow running client queries for
potential optimizations.
We will export your data from the
previous database and prepare it for
import in GraphDB.
11
Step 3: Export Data
12
In this step of the
migration process, you
will be selecting the most
suitable infrastructure for
optimal performance and
then installing GraphDB
on an infrastructure of
choice.
Step 5: Optimize Setup
Step 4: Setup GraphDB
Here, GraphDB setup will
be optimized for the
expected client use.
Step 6: Import Data
13
The data that have been exported from your earlier database will
now be imported into the new GraphDB instance.
Step 7: Analyze “Slow Queries”
14
The previously slow running queries (detected in Step 2) will be
analyzed again on the new GraphDB instance.
Step 8: Optimize Queries for Performance
15
The slow running queries will be rewritten so that you can take
advantage of the strengths of GraphDB’s query optimizer.
Step 9: Monitor Repository Performance for a Month
15
This is where GraphDB’s performance
will be closely monitored and the
product will be tweaked for optimal
performance with the new setup and
potential new user behavior and
workflow.
Step 10: Free Support for a Month
16
In this final stage of the migration process, we will be tackling all
issues and incidents for a month to make sure the setup is stable
and performant.
17
Take the first step today!
Call us and tell us about your specific business
case so that we can assist you in solving your data
challenges.
ontotext.com/migration-service-processes/
www.ontotext.com
You can also reach us via email at
info@ontotext.com
and directly by calling
1-866-972-6686 (North America),
or +359 2 974 61 60 (Europe)
Ready to know more and do more with data?

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How to migrate to GraphDB in 10 easy to follow steps

  • 1. How to Migrate to GraphDB in 10 easy to follow steps
  • 2. 1 Getting an integrated view of enterprise data is paramount to taking the right action in our data-driven world.
  • 3. M a k i n g s e n s e o f t e x t a n d d a t a 2 And this is exactly what GraphDB is built for.
  • 4. 3 It’s purpose is to help organizations “know” more and do more with data.
  • 5. Developed with the view to handle data only once, GraphDB is a future-proof system for managing your data. 4
  • 6. Legacy data, master data, open data, third-party data, no matter what type, GraphDB offers a single entry point to all this knowledge, unleashing the power of data integration. 5
  • 7. 6 It operates like a smart brain on top of legacy systems, capable of bringing meaning to your data from diverse external datasets. Getting this smart brain for your enterprise data is now easier.
  • 8. 7 It takes only 10 steps
  • 9. 8 Welcome to our GraphDB Migration Service! It’s an A-Z service that will help you prepare for migrating your data to GraphDB, walking you through the setup, and monitoring the performance of your systems. [Instituting GraphDB as your new RDF database technology is simple, even if you already have other RDF database in place.]
  • 10. 9 Step 1: Validate Data Modeling We will help you analyze your current data modeling and validate if it is optimal.
  • 11. 10 Step 2: Profile Slow Queries This is where we will analyze slow running client queries for potential optimizations.
  • 12. We will export your data from the previous database and prepare it for import in GraphDB. 11 Step 3: Export Data
  • 13. 12 In this step of the migration process, you will be selecting the most suitable infrastructure for optimal performance and then installing GraphDB on an infrastructure of choice. Step 5: Optimize Setup Step 4: Setup GraphDB Here, GraphDB setup will be optimized for the expected client use.
  • 14. Step 6: Import Data 13 The data that have been exported from your earlier database will now be imported into the new GraphDB instance.
  • 15. Step 7: Analyze “Slow Queries” 14 The previously slow running queries (detected in Step 2) will be analyzed again on the new GraphDB instance.
  • 16. Step 8: Optimize Queries for Performance 15 The slow running queries will be rewritten so that you can take advantage of the strengths of GraphDB’s query optimizer.
  • 17. Step 9: Monitor Repository Performance for a Month 15 This is where GraphDB’s performance will be closely monitored and the product will be tweaked for optimal performance with the new setup and potential new user behavior and workflow.
  • 18. Step 10: Free Support for a Month 16 In this final stage of the migration process, we will be tackling all issues and incidents for a month to make sure the setup is stable and performant.
  • 19. 17 Take the first step today! Call us and tell us about your specific business case so that we can assist you in solving your data challenges. ontotext.com/migration-service-processes/
  • 20. www.ontotext.com You can also reach us via email at info@ontotext.com and directly by calling 1-866-972-6686 (North America), or +359 2 974 61 60 (Europe) Ready to know more and do more with data?