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Amazon Neptune -
visually more options
What is
Amazon Neptune?
Amazon Neptune is a service that uses graph structures
with nodes, access points and properties to present and
store data in the form of graphs.
You can use it in applications made for:
▪ e-commerce recommendation engines,
▪ fraud detection,
▪ building knowledge charts,
▪ network security analysis.
Amazon Neptune - visually more options
Advantages of
Amazon Neptune
Supports for Open Graph APIs
Support tools such as Gremlin or SPARQL, while allowing
the selection of the chart model, properties and language
of open source queries, while ensuring high efficiency of
their operation.
It’s highly efficient and scaled
Works on the basis of a specially designed, powerful
database engine, optimized for storing billions of
relationships and checking latency in milliseconds.
It’s highly available and durable
It has the function of automatic healing and damage-resistant mass
storage created for the cloud, which creates up to six copies of data in
three different accessibility zones (Availability Zones). In addition, it
constantly backs up data to the Amazon S3 service and transparently
recovers lost data during a disaster.
It’s on a high level of security
It allows for multi-level data protection and access to them thanks to
network isolation thanks to the use of a virtual private network (VPC)
and the possibility of encrypting data in rest (using the AWS KMS
service).
How much does it
cost?
Amazon Neptune is a service billed in the pay-per-use
model, i.e. payments only for the resources used. This
allows you to free yourself from the unnecessary
start-up costs and complexity of planning the purchase
of database capacity in advance.
Detailed calculations for each of the regions can be
found in the Pricing tab.
Where can I use
Amazon Neptune?
Social Networking
Thanks to Amazon Neptune you can quickly and easily
process large interactions sets to create social applications.
Thanks to its functionality, allows prioritizing the order of
updates displayed to the user.
Source: Amazon Web Services
Recommendation Engines
Amazon Neptune allows you to use the highly available
database more efficiently to create product
recommendations. Recommendations are based on a
comparison of similar shopping histories among users or
mutual friends.
Source: Amazon Web Services
Fraud Detection
Functionality particularly important for the financial and
service industry. It allows you to monitor transactions in near
real time. By creating graphical queries, in order to quickly
detect patterns of relationships, the effectiveness of fraud
detection increases.
Source: Amazon Web Services
Knowledge Graphs
Education is another area where you can apply this database
model. Using knowledge charts, you can easily update
information or expand and check complex regulatory rules
models. An example is the Wikidata portal.
Source: Amazon Web Services
Life Sciences
With Amazon Neptune, you can also store data such as
disease models and genetic patterns. With its help, you can
easily model relationships and chemical reactions that can be
used in scientific publications.
Source: Amazon Web Services
Network / IT operations
Amazon Neptune gives you the ability to store and process
events to manage and secure your network. Using the
service, you can easily understand how anomaly can affect
the network (creating a query for a chart pattern using event
attributes).
Source: Amazon Web Services
Any questions?
We can help you!
Feel free to contact us
kontakt@lcloud.pl
www.lcloud.pl
Thank you for your time!
Presentation prepared on basis of: https://aws.amazon.com/neptune/ .
Don’t forget to
to our channel
and check out our social media!

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Amazon Neptune - visually more options

  • 3. Amazon Neptune is a service that uses graph structures with nodes, access points and properties to present and store data in the form of graphs. You can use it in applications made for: ▪ e-commerce recommendation engines, ▪ fraud detection, ▪ building knowledge charts, ▪ network security analysis.
  • 6. Supports for Open Graph APIs Support tools such as Gremlin or SPARQL, while allowing the selection of the chart model, properties and language of open source queries, while ensuring high efficiency of their operation.
  • 7. It’s highly efficient and scaled Works on the basis of a specially designed, powerful database engine, optimized for storing billions of relationships and checking latency in milliseconds.
  • 8. It’s highly available and durable It has the function of automatic healing and damage-resistant mass storage created for the cloud, which creates up to six copies of data in three different accessibility zones (Availability Zones). In addition, it constantly backs up data to the Amazon S3 service and transparently recovers lost data during a disaster.
  • 9. It’s on a high level of security It allows for multi-level data protection and access to them thanks to network isolation thanks to the use of a virtual private network (VPC) and the possibility of encrypting data in rest (using the AWS KMS service).
  • 10. How much does it cost?
  • 11. Amazon Neptune is a service billed in the pay-per-use model, i.e. payments only for the resources used. This allows you to free yourself from the unnecessary start-up costs and complexity of planning the purchase of database capacity in advance. Detailed calculations for each of the regions can be found in the Pricing tab.
  • 12. Where can I use Amazon Neptune?
  • 13. Social Networking Thanks to Amazon Neptune you can quickly and easily process large interactions sets to create social applications. Thanks to its functionality, allows prioritizing the order of updates displayed to the user. Source: Amazon Web Services
  • 14. Recommendation Engines Amazon Neptune allows you to use the highly available database more efficiently to create product recommendations. Recommendations are based on a comparison of similar shopping histories among users or mutual friends. Source: Amazon Web Services
  • 15. Fraud Detection Functionality particularly important for the financial and service industry. It allows you to monitor transactions in near real time. By creating graphical queries, in order to quickly detect patterns of relationships, the effectiveness of fraud detection increases. Source: Amazon Web Services
  • 16. Knowledge Graphs Education is another area where you can apply this database model. Using knowledge charts, you can easily update information or expand and check complex regulatory rules models. An example is the Wikidata portal. Source: Amazon Web Services
  • 17. Life Sciences With Amazon Neptune, you can also store data such as disease models and genetic patterns. With its help, you can easily model relationships and chemical reactions that can be used in scientific publications. Source: Amazon Web Services
  • 18. Network / IT operations Amazon Neptune gives you the ability to store and process events to manage and secure your network. Using the service, you can easily understand how anomaly can affect the network (creating a query for a chart pattern using event attributes). Source: Amazon Web Services
  • 19. Any questions? We can help you! Feel free to contact us kontakt@lcloud.pl www.lcloud.pl Thank you for your time! Presentation prepared on basis of: https://aws.amazon.com/neptune/ .
  • 20. Don’t forget to to our channel and check out our social media!