Reltio: Powering Enterprise Data-driven Applications with Cassandra

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Cassandra's flexibility and scalability make it an ideal foundation for a modern data management architecture. Come hear how Reltio is using Cassandra, in combination with graph technologies and Spark to deliver a new breed of data-driven applications. In this presentation you'll find out: - How we ended up selecting Cassandra - The unique characteristics of data-driven applications - The best practices we learned by combining Cassandra, graph technology, Spark and more

Tecnología

Powering Enterprise Data-driven Applications with Cassandra

“ 2
Be Right Faster
with
Reliable Data,
Relevant Insights,
Recommended Actions
TM
#DataManagement
#BigData
#ML
© 2015. All Rights Reserved.

Anastasia Zamyshlyaeva
VP Platform Product Management and Co-founder @ Reltio
• 2011 – started working with C*
• 2012 – selected C* as the persistence store for creating a hybrid
Columnar & Graph data-store
• Since 2012 – Running in Production to support:
– 24/7 uptime with 99.995% availability
– Multi-Tenancy across customers
– both Operational and Analytical workloads
stasia@reltio.com
www.linkedin.com/in/azamyshlyaeva
© 2015. All Rights Reserved. 3

“If you focus on the smallest details,
you never get the big picture right”
~ Leroy Hood
© 2015. All Rights Reserved. 4

© 2015. All Rights Reserved. 8
Sales
Web site
Support
Supply
Marketing

© 2015. All Rights Reserved. 9
Sales
Web site
Supply
MarketingSupport

© 2015. All Rights Reserved. 10
Sales
Web site
Supply
MarketingSupport

Enterprise Applications Ecosystem
11© 2015. All Rights Reserved.
Is data up-to-date?
Is data
correct?
?
? ?Is data complete?

© 2015. All Rights Reserved. 13
Sales
Web site
Data Unification Application
Supply
(based on Relational Databases)
• Fixed structure
• No big data
• Expensive
• Hard to support graphs and complex attributes
• Single point of failure (often) MarketingSupport

© 2015. All Rights Reserved. 14
Sales
Web site
Supply
MarketingSupport (based on Cassandra)

Why Cassandra?
üHigh performance
üFault tolerance
üLinear scalability
üMulti-datacenter
© 2015. All Rights Reserved. 15

Reltio Metadata-driven
Model and Operations
© 2015. All Rights Reserved. 16
Doctors and
Hospitals
Schema
configure
UI, REST API,
Analytics

© 2015. All Rights Reserved. 17
Oil & Gas
Schema
Reltio Metadata-driven
Model and Operations
UI, REST API,
Analyticsconfigure

© 2015. All Rights Reserved. 18
Asset
Catalog
Schema
Reltio Metadata-driven
Model and Operations
UI, REST API,
Analyticsconfigure
AMan

Cassandra is a primary datastore
© 2015. All Rights Reserved. 19

© 2015. All Rights Reserved. 20
ID: doc1
Type: Individual
Name: John
Email: john@gmail.com
john@yahoo.com
Address: CA, shipping
NY, billing
Entity type: Individual
- Name: String
- Email: List
- Address: Complex
- State: String
- Type: List
Metadata Entity
doc1
<Name>.1 …
John
Simple metadata-driven attributes in Cassandra (Thrift API)
Metadata-driven Documents in Columnar storage

ID: doc1
Type: Individual
Name: John
Email: john@gmail.com
john@yahoo.com
Address: CA, shipping
NY, billing
Entity type: Individual
- Name: String
- Email: List
- Address: Complex
- State: String
- Type: List
© 2015. All Rights Reserved. 21
Entity
doc1
… <Email>.1 <Email>.2 …
… john@gmail.com john@yahoo.com
Multi-value metadata-driven attributes in Cassandra (Thrift API)
Metadata
Metadata-driven Documents in Columnar storage

ID: doc1
Type: Individual
Name: John
Email: john@gmail.com
john@yahoo.com
Address: CA, shipping (1)
NY, billing (2)
© 2015. All Rights Reserved. 22
Entity
doc1
… <Address>.1.<State>.1 <Address>.1.<Type>.1 <Address>.2.<State>.1 …
… CA billing NY
Complex metadata-driven attributes in Cassandra (Thrift API)
Metadata
Metadata-driven Documents in Columnar storage
Entity type: Individual
- Name: String
- Email: List
- Address: Complex
- State: String
- Type: List

© 2015. All Rights Reserved. 23
Metadata-driven Documents – CQL wide rows
CREATE TABLE ENTITIES(
doc_id int,
attribute_name String,
attribute_value String,
…
PRIMARY KEY (doc_id, attribute_name)
);
SELECT * -- select all addresses
FROM ENTITIES
WHERE doc_id = 1
AND attribute_name >= Address.0
AND attribute_name <= Address.9;

© 2015. All Rights Reserved. 24
John
Dunder
Mifflin
Dwight
Copy
Paper
Employee Individual
ProductOrganization Cassandra
- Records storage
across datacenters
Reltio
- Metadata-driven graphs
- Rich model for entities, relations
- Partitioning
- Effective joins
- Graph operations
Hybrid Graphs - linked entities with infinite attribution

25
Reltio de-duplication
John Smith
Jon Smith

© 2015. All Rights Reserved. 26
Cassandra+ = Hybrid searchElasticsearch*
* excluded documents
Hybrid Search – without documents!
0
0.5
1
1.5
Data volume in
Elasticsearch index (Tb)
0
1000
2000
Elasticsearch indexing
performance (OPS)
0
10
20
30
Search performance on
large documents (sec)
- Elasticsearch
- Hybrid search: Elasticsearch + Cassandra

Reltio Cloud Data Components
© 2015. All Rights Reserved.
Spark
AWS
AWS Redshift
Cassandra
Elasticsearch

Reltio Use Cases
© 2015. All Rights Reserved. 28
AManag

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Hear about how Coursera uses Cassandra as the core of its scalable online education platform. I'll discuss the strengths of Cassandra that we leverage, as well as some limitations that you might run into as well in practice. In the second part of this talk, we'll dive into how best to effectively use the Datastax Java drivers. We'll dig into how the driver is architected, and use this understanding to develop best practices to follow. I'll also share a couple of interesting bug we've run into at Coursera.

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In an era where artificial intelligence (AI) stands at the forefront of business innovation, Information Architecture (IA) is at the core of functionality. See “There’s No AI Without IA” – (from 2016 but even more relevant today) Understanding and leveraging how Information Architecture (IA) supports AI synergies between knowledge engineering and prompt engineering is critical for senior leaders looking to successfully deploy AI for internal and externally facing knowledge processes. This webinar be a high-level overview of the methodologies that can elevate AI-driven knowledge processes supporting both employees and customers. Core Insights Include: Strategic Knowledge Engineering: Delve into how structuring AI's knowledge base is required to prevent hallucinations, enable contextual retrieval of accurate information. This will include discussion of gold standard libraries of use cases support testing various LLMs and structures and configurations of knowledge base. Precision in Prompt Engineering: Learn the art of crafting prompts that direct AI to deliver targeted, relevant responses, thereby optimizing customer experiences and business outcomes. Unified Approach for Enhanced AI Performance: Explore the intersection of knowledge and prompt engineering to develop AI systems that are not only more responsive but also aligned with overarching business strategies. Guiding Principles for Implementation: Equip yourself with best practices, ethical guidelines, and strategic considerations for embedding these technologies into your business ecosystem effectively. This webinar is designed to empower business and technology leaders with the knowledge to harness the full potential of AI, ensuring their organizations not only keep pace with digital transformation but lead the charge. Join us to map a roadmap to fully leverage Information Architecture (IA) and AI chart a course towards a future where AI is a key pillar of strategic innovation and business success.

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Choosing the right accounts payable services provider is a strategic decision that can significantly impact your business's financial performance and operational efficiency. By considering factors such as expertise, range of services, technology infrastructure, scalability, cost, and reputation, businesses can make informed decisions and select a provider that aligns with their unique needs and objectives. Partnering with the right provider can streamline accounts payable processes, drive cost savings, and position your business for long-term success. https://katprotech.com/accounts-payable-and-purchase-order-automation/

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What are drone anti-jamming systems? The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs. To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones. So what is so unique about this amazing system?

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Microsoft's Threat Matrix for Kubernetes helps organizations understand the attack surface a Kubernetes deployment introduces to their environments. This ensures that adequate detections and mitigations are in place. By covering over 40 different attacker techniques, defenders can learn about Kubernetes-specific mitigations and controls to deploy to their environments. In this session, we will explore the MS-TA9013 Host Path Mount technique, which is commonly used by attackers to perform privilege escalation in a Kubernetes cluster. Attendees will learn how attackers and defenders can: * Escape the container's host volume mount to gain persistence on an underlying node * Move laterally from the underlying node into the customer's cloud environment * Analyze Kubernetes audit logs to detect pods deployed with a hostPath mount * Deploy an admission controller that prevents new pods from using a hostPath mount

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Explore 'The Codex of Business: Writing Software for Real-World Solutions,' a compelling SlideShare presentation that delves into digital transformation in healthcare. Discover through a detailed case study how Agile methodologies empower healthcare providers to develop, iterate, and refine digital solutions that address real-world challenges. Learn how strategic planning, user feedback, and continuous improvement drive success in deploying technologies that enhance patient care and operational efficiency. Ideal for healthcare professionals, IT specialists, and digital transformation advocates seeking actionable insights and practical examples of technology making a real difference.

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As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

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Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies

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The Raspberry Pi 5 was announced on October 2023. This new version of the popular embedded device comes with a new iteration of Broadcom’s VideoCore GPU platform, and was released with a fully open source driver stack, developed by Igalia. The presentation will discuss some of the major changes required to support this new Video Core iteration, the challenges we faced in the process and the solutions we provided in order to deliver conformant OpenGL ES and Vulkan drivers. The talk will also cover the next steps for the open source Raspberry Pi 5 graphics stack. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://eoss24.sched.com/event/1aBEx

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Reltio: Powering Enterprise Data-driven Applications with Cassandra

1. Powering Enterprise Data-driven Applications with Cassandra

3. Anastasia Zamyshlyaeva VP Platform Product Management and Co-founder @ Reltio • 2011 – started working with C* • 2012 – selected C* as the persistence store for creating a hybrid Columnar & Graph data-store • Since 2012 – Running in Production to support: – 24/7 uptime with 99.995% availability – Multi-Tenancy across customers – both Operational and Analytical workloads stasia@reltio.com www.linkedin.com/in/azamyshlyaeva © 2015. All Rights Reserved. 3

13. © 2015. All Rights Reserved. 13 Sales Web site Data Unification Application Supply (based on Relational Databases) • Fixed structure • No big data • Expensive • Hard to support graphs and complex attributes • Single point of failure (often) MarketingSupport

20. © 2015. All Rights Reserved. 20 ID: doc1 Type: Individual Name: John Email: john@gmail.com john@yahoo.com Address: CA, shipping NY, billing Entity type: Individual - Name: String - Email: List - Address: Complex - State: String - Type: List Metadata Entity doc1 <Name>.1 … John Simple metadata-driven attributes in Cassandra (Thrift API) Metadata-driven Documents in Columnar storage

21. ID: doc1 Type: Individual Name: John Email: john@gmail.com john@yahoo.com Address: CA, shipping NY, billing Entity type: Individual - Name: String - Email: List - Address: Complex - State: String - Type: List © 2015. All Rights Reserved. 21 Entity doc1 … <Email>.1 <Email>.2 … … john@gmail.com john@yahoo.com Multi-value metadata-driven attributes in Cassandra (Thrift API) Metadata Metadata-driven Documents in Columnar storage

22. ID: doc1 Type: Individual Name: John Email: john@gmail.com john@yahoo.com Address: CA, shipping (1) NY, billing (2) © 2015. All Rights Reserved. 22 Entity doc1 … <Address>.1.<State>.1 <Address>.1.<Type>.1 <Address>.2.<State>.1 … … CA billing NY Complex metadata-driven attributes in Cassandra (Thrift API) Metadata Metadata-driven Documents in Columnar storage Entity type: Individual - Name: String - Email: List - Address: Complex - State: String - Type: List

23. © 2015. All Rights Reserved. 23 Metadata-driven Documents – CQL wide rows CREATE TABLE ENTITIES( doc_id int, attribute_name String, attribute_value String, … PRIMARY KEY (doc_id, attribute_name) ); SELECT * -- select all addresses FROM ENTITIES WHERE doc_id = 1 AND attribute_name >= Address.0 AND attribute_name <= Address.9;

24. © 2015. All Rights Reserved. 24 John Dunder Mifflin Dwight Copy Paper Employee Individual ProductOrganization Cassandra - Records storage across datacenters Reltio - Metadata-driven graphs - Rich model for entities, relations - Partitioning - Effective joins - Graph operations Hybrid Graphs - linked entities with infinite attribution

25. 25 Reltio de-duplication John Smith Jon Smith

26. © 2015. All Rights Reserved. 26 Cassandra+ = Hybrid searchElasticsearch* * excluded documents Hybrid Search – without documents! 0 0.5 1 1.5 Data volume in Elasticsearch index (Tb) 0 1000 2000 Elasticsearch indexing performance (OPS) 0 10 20 30 Search performance on large documents (sec) - Elasticsearch - Hybrid search: Elasticsearch + Cassandra

29. Thank you

Reltio: Powering Enterprise Data-driven Applications with Cassandra

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