Neo4j Database Overview document discusses:
1. Key components and ingredients of Neo4j including index-free adjacency and ACID foundation.
2. How Neo4j fits into the larger data ecosystem and common integration patterns.
3. Latest innovations in Neo4j 3.3 including performance improvements, security enhancements, and developer productivity features.
These webinar slides are an introduction to Neo4j and Graph Databases. They discuss the primary use cases for Graph Databases and the properties of Neo4j which make those use cases possible. They also cover the high-level steps of modeling, importing, and querying your data using Cypher and touch on RDBMS to Graph.
These webinar slides are an introduction to Neo4j and Graph Databases. They discuss the primary use cases for Graph Databases and the properties of Neo4j which make those use cases possible. They also cover the high-level steps of modeling, importing, and querying your data using Cypher and touch on RDBMS to Graph.
With the introduction of the Neo4j Graph Platform and increased adoption of graph database technology across all industries, now is a better time than ever to get started with graphs.
Join us for this introduction to Neo4j and graph databases. We'll discuss the primary use cases for graph databases and explore the properties of Neo4j that make those use cases possible.
Network and IT Ops Series: Build Production Solutions Neo4j
Jeff Morris, Director, Neo4j:Are you building a breakthrough product or extending an existing one? Do you need introduce new capabilities based on insights from data relationships? If so, you should consider embedding a graph database.
For software providers building products to assure quality network operations or security, using an embedded graph database may open new customer opportunities. Watch this webinar to learn how you can easily differentiate your applications and take your solutions to market faster with a native graph database like Neo4j.
How Graph Databases efficiently store, manage and query connected data at s...jexp
Graph Databases try to make it easy for developers to leverage huge amounts of connected information for everything from routing to recommendations. Doing that poses a number of challenges on the implementation side. In this talk we want to look at the different storage, query and consistency approaches that are used behind the scenes. We’ll check out current and future solutions used in Neo4j and other graph databases for addressing global consistency, query and storage optimization, indexing and more and see which papers and research database developers take inspirations from.
Neo4j-Databridge: Enterprise-scale ETL for Neo4jNeo4j
Neo4j-Databridge is a fully-featured ETL tool specifically built for Neo4j, and designed for usability, expressive power and high performance. It has been created to help solve the most common problems faced by large enterprises when importing data into Neo4j - data locality, multiple data sources and formats, performance when loading very large data sets, bespoke data conversions, inclusion of non-tabular data, filtering, merging and de-duplication...
In this webinar, we’ll take a quick tour of the main features of Neo4j-Databridge and understand how it can to help to solve these problems and facilitate importing your data easily and quickly into Neo4j.
Spectator to Participant. Contributing to Cassandra (Patrick McFadin, DataSta...DataStax
Feeling the need to contribute something to Apache Cassandra? Maybe you want to help guide the future of your favorite database? Get off the sidelines and get in the game! It's easy to say but how do you even get started? I will outline some of the ways you can help contribute to Apache Cassandra from minor to major. If you don't have the time or ability to submit code, there are a lot of ways you can participate. What if you do want to write some code? I can walk you through the process of creating a patch and submitting for final approval. Got a great idea? I'll show you propose that to the community at large. Take it from me, participating is so much more fun than just watching the project from a distance. Time to jump in!
About the Speaker
Patrick McFadin Chief Evangelist, DataStax
Patrick McFadin is one of the leading experts of Apache Cassandra and data modeling techniques. As the Chief Evangelist for Apache Cassandra and consultant for DataStax, he has helped build some of the largest and exciting deployments in production. Previous to DataStax, he was Chief Architect at Hobsons and an Oracle DBA/Developer for over 15 years.
Securing and governing a multi-tenant data lake within the financial industryDataWorks Summit
Standard Bank South Africa is a Hortonworks client, with several multi-node clusters hosting Hortonworks Data Platform (HDP) and Hortonworks Data Flow (HDF). This presentation will discuss the technical detail of implementing security, governance and multi-tenancy on a "Data Lake" within the finance industry. The talk will address the team's experiences, challenges, failures and learnings that we took away from this behemoth of an adventure.
After introducing Standard Bank and the Hadoop admin team, the presentation will describe the security and governance journey Standard Bank has undergone since the project's inception in 2015, as well as the roadmap for the future ahead.
Presentation structure:
1. Team introduction with background information
2. Environment overview (Where we are - Current)
-----Security
---------Authentication through Kerberos and LDAP/ AD
---------Authorization through Ranger and Centrify
---------Transparent Data Encryption (TDE) at rest
-----Governance
---------Centralized auditing
---------Ranger policies and data steward ownership
-----Multi-Tenancy
---------Data lake Vs. data analytics platform
---------Edge nodes Vs. API framework through Knox
3. How did we get to this stage? (Past)
-----Challenges faced (Kerberos, AD integration, SSL)
-----How we overcame these challenges
4. Future challenges we foresee (Future)
-----How we are planning to prepare for them
Speakers
Ian Pillay, Hadoop Administrator, Standard Bank
Brad Smith, Hadoop Administrator, Standard Bank
Neo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4jNeo4j
The Neo4j graph database is the fastest growing database engine in the market and has hundreds of customer references across Europe and globally, solving significant technology problems for large Enterprises in Finance, Telco, Retail, Utilities, Logistics and Internet sectors. Typical use cases are Recommendations, Fraud Detection, MDM, Network and Software Analysis and Optimization, Identity and Access Management.
With the introduction of the Neo4j Graph Platform and increased adoption of graph database technology across all industries, now is a better time than ever to get started with graphs.
Join us for this introduction to Neo4j and graph databases. We'll discuss the primary use cases for graph databases and explore the properties of Neo4j that make those use cases possible.
Network and IT Ops Series: Build Production Solutions Neo4j
Jeff Morris, Director, Neo4j:Are you building a breakthrough product or extending an existing one? Do you need introduce new capabilities based on insights from data relationships? If so, you should consider embedding a graph database.
For software providers building products to assure quality network operations or security, using an embedded graph database may open new customer opportunities. Watch this webinar to learn how you can easily differentiate your applications and take your solutions to market faster with a native graph database like Neo4j.
How Graph Databases efficiently store, manage and query connected data at s...jexp
Graph Databases try to make it easy for developers to leverage huge amounts of connected information for everything from routing to recommendations. Doing that poses a number of challenges on the implementation side. In this talk we want to look at the different storage, query and consistency approaches that are used behind the scenes. We’ll check out current and future solutions used in Neo4j and other graph databases for addressing global consistency, query and storage optimization, indexing and more and see which papers and research database developers take inspirations from.
Neo4j-Databridge: Enterprise-scale ETL for Neo4jNeo4j
Neo4j-Databridge is a fully-featured ETL tool specifically built for Neo4j, and designed for usability, expressive power and high performance. It has been created to help solve the most common problems faced by large enterprises when importing data into Neo4j - data locality, multiple data sources and formats, performance when loading very large data sets, bespoke data conversions, inclusion of non-tabular data, filtering, merging and de-duplication...
In this webinar, we’ll take a quick tour of the main features of Neo4j-Databridge and understand how it can to help to solve these problems and facilitate importing your data easily and quickly into Neo4j.
Spectator to Participant. Contributing to Cassandra (Patrick McFadin, DataSta...DataStax
Feeling the need to contribute something to Apache Cassandra? Maybe you want to help guide the future of your favorite database? Get off the sidelines and get in the game! It's easy to say but how do you even get started? I will outline some of the ways you can help contribute to Apache Cassandra from minor to major. If you don't have the time or ability to submit code, there are a lot of ways you can participate. What if you do want to write some code? I can walk you through the process of creating a patch and submitting for final approval. Got a great idea? I'll show you propose that to the community at large. Take it from me, participating is so much more fun than just watching the project from a distance. Time to jump in!
About the Speaker
Patrick McFadin Chief Evangelist, DataStax
Patrick McFadin is one of the leading experts of Apache Cassandra and data modeling techniques. As the Chief Evangelist for Apache Cassandra and consultant for DataStax, he has helped build some of the largest and exciting deployments in production. Previous to DataStax, he was Chief Architect at Hobsons and an Oracle DBA/Developer for over 15 years.
Securing and governing a multi-tenant data lake within the financial industryDataWorks Summit
Standard Bank South Africa is a Hortonworks client, with several multi-node clusters hosting Hortonworks Data Platform (HDP) and Hortonworks Data Flow (HDF). This presentation will discuss the technical detail of implementing security, governance and multi-tenancy on a "Data Lake" within the finance industry. The talk will address the team's experiences, challenges, failures and learnings that we took away from this behemoth of an adventure.
After introducing Standard Bank and the Hadoop admin team, the presentation will describe the security and governance journey Standard Bank has undergone since the project's inception in 2015, as well as the roadmap for the future ahead.
Presentation structure:
1. Team introduction with background information
2. Environment overview (Where we are - Current)
-----Security
---------Authentication through Kerberos and LDAP/ AD
---------Authorization through Ranger and Centrify
---------Transparent Data Encryption (TDE) at rest
-----Governance
---------Centralized auditing
---------Ranger policies and data steward ownership
-----Multi-Tenancy
---------Data lake Vs. data analytics platform
---------Edge nodes Vs. API framework through Knox
3. How did we get to this stage? (Past)
-----Challenges faced (Kerberos, AD integration, SSL)
-----How we overcame these challenges
4. Future challenges we foresee (Future)
-----How we are planning to prepare for them
Speakers
Ian Pillay, Hadoop Administrator, Standard Bank
Brad Smith, Hadoop Administrator, Standard Bank
Neo4j GraphTalks Oslo - Graph Your Business - Rik Van Bruggen, Neo4jNeo4j
The Neo4j graph database is the fastest growing database engine in the market and has hundreds of customer references across Europe and globally, solving significant technology problems for large Enterprises in Finance, Telco, Retail, Utilities, Logistics and Internet sectors. Typical use cases are Recommendations, Fraud Detection, MDM, Network and Software Analysis and Optimization, Identity and Access Management.
Peek into Neo4j Product Strategy and Roadmap
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Get a sneak peek into recent product enhancements and some exciting announcements. We will discuss the three main pillars of ongoing product strategy at Neo4j and briefly touch on important 2024 initiatives.
Intel and Cloudera: Accelerating Enterprise Big Data SuccessCloudera, Inc.
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The Cisco Open SDN Controller is a commercial distribution of OpenDaylight that delivers business agility through automation of standards-based network infrastructure.
Built as a highly scalable software-defined networking (SDN) platform, the Open SDN Controller abstracts away the complexity of managing heterogeneous networks to improve service delivery and reduce operating costs.
The controller exposes REST APIs to allow other applications to take advantage capabilities of the controller and unlock the power of the underlying network infrastructure, and JAVA APIs to allow for the creation of new network services.
This session will present the basic constructs of the controller and the capabilities of the REST and JAVA APIs to demonstrate how the Open SDN Controller abstracts away the complexity of managing heterogeneous networks to improve service delivery and reduce operating costs.
Los patrones están en todos lados. Los patrones de diseño han existido desde hace mucho tiempo para las arquitecturas tradicionales (monolíticas). Los patrones nos permiten tener un abanico de opciones de diseño predeterminadas, que se pueden aplicar según cada problema de negocio y tecnológico, dándonos una ventaja en el diseño de la solución, dado que son estructuras que han sido probadas durante el tiempo en forma repetitiva, hasta consolidarse como un patrón. Sin embargo, los patrones de diseño han cambiado con la llegada de la nube y el enfoque de microservicios. En esta oportunidad vamos a discutir en profundidad estos patrones de diseño y su aplicabilidad.
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In this open marketing meeting, we discuss the major features for the Grizzly release, coming April 4, as well as a preview of the Summit and upcoming upcoming events.
Solving enterprise challenges through scale out storage & big compute finalAvere Systems
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The slides were from a webinar presented January 24, 2017. The audience learned:
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- Best practices for efficient use of cloud compute and storage resources
- Overcoming the need for file systems within a hybrid cloud environment
- Understand how to eliminate latency between cloud and data center architectures
- Learn how to best manage simulation, analytics, and big data workloads in dynamic environments
- Look at market dynamics drawing companies to new storage models over the next several years
Presenters communicated a foundation to build infrastructure to support ongoing demand growth.
A Connections-first Approach to Supply Chain OptimizationNeo4j
Supply chain optimization is an unusual balancing act that requires finesse, skill and timely data. Every supply chain’s the key questions to be answered are:
What to Buy? -- what are the factors in determining your optimal product mix and set of suppliers.
How much to Buy? -- what are the most and least popular items at any given time interval
When to Buy? -- long lags in delivery timing may tax limit your flexibility and influence your inventory management practices.
We will illustrate an API-based solution that utilizes a Graph database platform to add demonstrable value to Supply Planning.
What's New in Syncsort's Trillium Line of Data Quality Software - TSS Enterpr...Precisely
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View this customer education webinar on-demand where you will learn more about the latest improvements in the market-leading data quality solution – Syncsort’s TSS Enterprise, and how it can help you receive a quicker ROI from your Syncsort Trillium investment.
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• Syncsort’s Collibra integration for a stronger data governance capability
• Added support for Amazon EMR to Syncsort Trillium Quality for Big Data
• The NEW real-time data quality function
Don’t have TSS? View this webinar on-demand to see what you may be missing by not having market-leading data quality solutions. Whether you need to de-duplicate millions of records on Spark, want to fix data errors in real-time in your CRM or build geo-location and address verification into your web application – we’ve got what you’re looking for!
DEVNET-1140 InterCloud Mapreduce and Spark Workload Migration and Sharing: Fi...Cisco DevNet
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451 Research: Data Is the Key to Friction in DevOpsDelphix
You’ve moved to agile. You’re “all in” on the cloud. And yet, you know there’s a ton of velocity in your DevOps projects left on the table.
Jay Lyman, Principal Analyst with 451 Research, hosts a webinar with DevOps pioneers Patrick Lightbody, SVP of Product at Delphix and Nick Suwyn, Principal Systems Engineer at Choice Hotels, to explore how DevOps teams in the global enterprise have successfully check marked code management, configuration management and build management with various industry standard tools to combat the challenges brought upon by “data friction.” Jay will unveil his latest research on the state of DevOps and share thoughts on why there’s still tremendous inertia for companies in this space.
Learn more about the tools, techniques and technologies for working productively with data at any scale. This presentation introduces the family of data analytics tools on AWS which you can use to collect, compute and collaborate around data, from gigabytes to petabytes. We'll discuss Amazon Elastic MapReduce, Hadoop, structured and unstructured data, and the EC2 instance types which enable high performance analytics.
Jon Einkauf, Senior Product Manager, Elastic MapReduce, AWS
Alan Priestley, Marketing Manager, Intel and Bob Harris, CTO, Channel 4
Discover Neo4j Aura_ The Future of Graph Database-as-a-Service Workshop_3.13.24Neo4j
Join us for an exclusive workshop exploring the transformative benefits of Neo4j Aura, a cloud-native Database-as-a-Service (DBaaS). Neo4j Aura is revolutionizing data management and analysis, empowering organizations to unlock deeper insights, streamline operations, drive innovation, and return completeness of answers like never before.
Secure your spot for this comprehensive workshop as we dive into the revolutionary world of Neo4j's Aura that is transforming how organizations harness the potential of their interconnected data.
This workshop will:
Discuss the advantages and benefits of using a graph database-as-a-service, like the ease of deployment and enterprise-grade security and compliance measures
Highlight AuraDS - a managed service for running data science algorithms and workloads for Neo4j
Uncover the importance of grounding LLMs with knowledge graphs
Share integration and migration tips when transitioning or adding Aura Enterprise
Don't miss this opportunity to discover how Neo4j Aura can transform your approach to data relationships and unlock the true power of interconnected data!
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Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
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This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
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Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
4. Key Architecture Components
1
Index-Free Adjacency
In memory and on flash/disk
2
vs
ACID Foundation
Required for safe writes
3
Full-Stack Clustering
Causal consistency
5
Graph Engine
Cost-Based Optimizer, Graph
Statistics, Cypher Runtime, …
6
Hardware Optimizations
For next-gen infrastructure
Language, Drivers, Tooling
Developer Experience,
Graph Efficiency, Type Safety
4
5. At Write Time:
data is connected
as it is stored
At Read Time:
Lightning-fast retrieval of data and
relationships via pointer chasing
Index-Free Adjacency:
6. Connectedness and Size of Data Set
ResponseTime
Relational and
Other NoSQL
Databases
0 to 2 hops
0 to 3 degrees
Thousands of connections
1000x
Advantage
Tens to hundreds of hops
Thousands of degrees
Billions of connections
Neo4j
“Minutes to
milliseconds”
“Minutes to Milliseconds” Real-Time Query Performance
7. 24
Cypher Query Language
Example HR Query in SQL
The Same Query using Cypher
MATCH (boss)-[:MANAGES*0..3]->(sub),
(sub)-[:MANAGES*1..3]->(report)
WHERE boss.name = “John Doe”
RETURN sub.name AS Subordinate,
count(report) AS Total
Project ImpactLess time writing queries
• More time understanding the answers
• Leaving time to ask the next question
Less time debugging queries:
• More time writing the next piece of code
• Improved quality of overall code base
Code that’s easier to read:
• Faster ramp-up for new project members
• Improved maintainability & troubleshooting
8. Graph Transactions Over
ACID Consistency
Graph Transactions Over
Non Graph-ACID DBMSs
25
Maintains Integrity Over Time
Guaranteed Graph Consistency
Becomes Corrupt Over Time
Not Good Enough for Graphs
ACID Graph Writes
A Requirement for for Graph Transactions
9. Common Integration Patterns Inside the Enterprise
From Disparate Silos
To Cross-Silo Connections
From Tabular Data
To Connected Data
From Data Lake Analytics
to Real-Time Operations
18. `
RR
RR RR
RRRRRR
READ REPLICAS
London
`
C C
RR RR RR
RRRRRR
READ REPLICAS
New York
Encryption
Multi-Data Center Clustering
(Neo4j 3.2)
Intra-Cluster Encryption
(Neo4j 3.3)
24. • DB Engines curve
• eBay Shopbot
Excluded because Emil is likely to cover them in the intro
25. Neo4j - The Graph Company
720+
7/10
12/25
8/10
53K+
100+
270+
450+
Adoption
Top Retail Firms
Top Financial Firms
Top Software Vendors
Customers Partners
• Creator of the Neo4j Graph Platform
• ~200 employees
• HQ in Silicon Valley, other offices include
London, Munich, Paris and Malmö (Sweden)
• $80M in funding from Fidelity, Sunstone,
Conor, Creandum, and Greenbridge Capital
• Over 10M+ downloads,
• 270+ enterprise subscription customers with
over half with >$1B in revenue
Ecosystem
Startups in program
Enterprise customers
Partners
Meet up members
Events per year
Industry’s Largest Dedicated Investment in Graphs
26. 2010 2011 2012 2013 2015 2017
Invented Cypher -
Leading language
for graph queries
First open source GA
version of a property
graph database
O’Reilly Graph
Database —
first definitive
book for graph
professionals
Introduced
labels to
simplify graph
modeling
openCypher Project
— open sourced
Cypher to create the
de facto standard
Launched
industry’s
first Graph
Platform
Neo4j — The Graph Technology Pioneer
2014
Visual Graph
Query Browser
2016
Causal
Consistency
for Graphs
27. 100 Best in Show 2014
ODBMS Magic Quadrant 2014
Who’s Who in NOSQL DBMSs 2013
Neo4j Awards and Headlines
Technology of the Year 2013 2014
Bossie Award for Big Data 2013
100 Companies that
Matter the Most in Data
2013
Big Data 100 in Data
Management 2013
“The leading system
among Graph DBMSs
is Neo4j” 2014
Neo's GraphConnect shows graph
databases coming into their own
Matt Aslett 2013 Neo Technology – The Rise
of the Graph Database –
Robin Bloor 2013
O’Reilly
Publications –
Graph Databases
authored by Neo
Technology staff
28. Knowledge Graphs
Provide Rich
Context for AI
AI Visibility
Human-Friendly
Graph Visualization
Graph Enhanced AI Models
Faster, More
Accurate Development
Graph Execution of AI
Operationalize Real-Time OLAP
and Monitoring
Graph Analytics
Enrich AI Inputs with
Graph Algorithms
Graph System of Record
Maintain a Source of
Connected AI Truth
Graph-Boosted Artificial Intelligence
The Next Phase in AI: Leveraging Connections in Data
29. Performance & High Availability:
Neo4j Causal Clustering
• Architected to guarantee graph consistency
Inside instances and across the cluster
• No single points of failure
• Seamless integration with Drivers, Bolt
Protocol and Cluster
No external load balancer required
• Optimized for maximum query throughput
and response time
• Choice of application guarantees
“Read your own writes” vs. “Read any”
ENTERPRISE HIGH AVAILABILITY & SCALABILITY FEATURES
30. Neo4j Causal Clustering
Multi-Data Center Capability*
Causal Clusters can now span data centers
• Clusters can be subdivided into groups and spread across
DCs
• Read-time choice of consistency at global scale:
“Read Any”, “Read-your-own-Writes”
Tiered Subclusters boost performance
• Speeds local reads and writes
• Replica servers pull from nearest
replicas minimizing WAN traffic
Topology-aware stack insulates developers & apps from
the many complexities of clustering
Improved Cloud Delivery via RPM, Azure and AWS EC2
47
dc1 group
dc2 group
*Included in Neo4j’s Enterprise Bundle
31. Productivity & Governance:
Schema Constraints
• Database-enforced schema
• Node Keys: enforce data uniqueness across a specified set of properties
• Property Existence Constraints: ensure that specified properties always exist for
given nodes & relationships
• Improves developer productivity & data quality
• Avoids need to encode data rules into the application
• Helps ensure data consistency within large teams
• Eases data integration across other enterprise systems
ENTERPRISE SCHEMA & GOVERNANCE FEATURES
32. Multiple users -> flexible authentication options
Active Directory/LDAP or Native users
Role-based authorization
Assign permissions to users and groups
List and terminate running queries
Users can manage their own queries
Admins can manage all queries
Access controls for user-defined procedures
Enables subgraph access control
Support for extended features
Kerberos add-on (available in Neo4j 3.2)
OGM-Based Property-Level Encryption*
Enables
Sarbanes-Oxley,
HIPAA, PCI-DSS, et al
Neo4j Security Foundation
Safeguards Data & Addresses Compliance
49
Neo4j Advantage – Security*Source: https://neo4j.com/blog/neo4j-data-encryption-ogm/
34. Background
• Large Nordic Telecom Provider
• 1M Broadband routers deployed in Sweden
• Half of subscribership are over 55yrs old
• Each household connects 10 devices
• Goal to improve customer experience
Business Problem
• Broadband router enhancement to improve
customer experience
• Context-based in home services
• How to build smart home platform that allows
vendors to build new “home-centric” apps
Solution and Benefits
• New Features deployed to 1M homes
• API-based platform for easy apps that:
• Automatically assemble Spotify playlists
based on who is in the house
• Notify parents when children get home
• Build smart shopping lists
TELIA ZONE TELECOMMUNICATIONS
Smart Home / Internet of Things51
EE Customer since 2016 Q4
35. Background
• SF-based C2C rental platform
• Dataportal democratizes data access for
growing number of employees while improving
discoverability and trust
• Data strewn everywhere—in silos, in segmented
departments, nothing was universally accessible
Business Problem
• Data-driven culture hampered by variety and
dependability of data, tribal knowledge and
word-of-mouth distribution
• Needed visibility into information usage, context,
lineage and popularity across company of 3,000+
Solution and Benefits
• Offers search with context & metadata, user &
team-centric pages for origin & lineage
• Nodes are resources: data tables, dashboards,
reports, users, teams, business outcomes, etc.
• Relationships reflect consumption, production,
association, etc.
• Neo4j, Elasticsearch, Python
Airbnb Dataportal TRAVEL TECHNOLOGY
Knowledge Graph, Metadata Management52
CE users since 2017
36.
37. “Graph analysis is possibly the single most
effective competitive differentiator for
organizations pursuing data-driven operations
and decisions after the design of data capture.”
“In a recent Forrester survey, 51% of global data
and analytics technology decision makers either
are implementing, have already implemented, or
are upgrading their graph databases."
“We expect the graph database market to grow
significantly as organizations look to new
approaches in dealing with silos of data.”
Source: Vendor Landscape: Graph Databases, October 6, 2017
“By the end of 2018, 70% of leading organizations
will have one or more pilot or proof-of-concept
efforts underway utilizing graph databases.”
Source: Making Big Data Normal with Graph Analysis for the Masses, 2015
Source: IT Market Clock for Database Management Systems, 2014