Introduction to graph databases in term of neo4jAbdullah Hamidi
The records in a graph database are called Nodes .
Nodes are connected through typed, directed Relationships.
Each single Node and Relationship can have named attributes referred to as Properties.
A Label is a name that organizes nodes into groups.
The flexibility of the graph model has allowed us to add new nodes and new relationships.
Relationships in a graph naturally form paths. Querying—or traversing—the graph involves following paths.
Scaling to billions of Edges in a Graph Database by Max Neunhoeffer at Big Da...Big Data Spain
The complexity and amount of data rises. Modern graph databases are designed to handle the complexity but still not for the amount of data.
https://www.bigdataspain.org/2017/talk/scaling-to-billions-of-edges-in-a-graph-database
Big Data Spain 2017
16th - 17th November Kinépolis Madrid
Introduction to graph databases, Neo4j and Spring Data - English 2015 EditionAleksander Stensby
English edition of my introduction to Neo4j and Spring Data talk - updated in February 2015 for the latest changes in Neo4j and Spring Data. The talk gives an introduction to graph databases, Neo4j and its query language Cypher. In addition, the talk covers Spring Data Neo4j.
Introduction to graph databases in term of neo4jAbdullah Hamidi
The records in a graph database are called Nodes .
Nodes are connected through typed, directed Relationships.
Each single Node and Relationship can have named attributes referred to as Properties.
A Label is a name that organizes nodes into groups.
The flexibility of the graph model has allowed us to add new nodes and new relationships.
Relationships in a graph naturally form paths. Querying—or traversing—the graph involves following paths.
Scaling to billions of Edges in a Graph Database by Max Neunhoeffer at Big Da...Big Data Spain
The complexity and amount of data rises. Modern graph databases are designed to handle the complexity but still not for the amount of data.
https://www.bigdataspain.org/2017/talk/scaling-to-billions-of-edges-in-a-graph-database
Big Data Spain 2017
16th - 17th November Kinépolis Madrid
Introduction to graph databases, Neo4j and Spring Data - English 2015 EditionAleksander Stensby
English edition of my introduction to Neo4j and Spring Data talk - updated in February 2015 for the latest changes in Neo4j and Spring Data. The talk gives an introduction to graph databases, Neo4j and its query language Cypher. In addition, the talk covers Spring Data Neo4j.
Prosody is an essential component of human speech. Prosody, broadly, describes all of the production qualities of speech that are not involved in conveying lexical information. Where the words are “what is said”, prosody is “how it is said”. Prosody of speech, plays an important role not only in communicating the syntax, semantics and pragmatics of spoken language, but also in conveying information about the speaker and their internal state (e.g. emotion or fatigue).
Understanding prosody is critical to understanding speech communication. Spoken language processing (SLP) technology that approaches human levels of competence will necessarily include automatic analysis of prosody. Despite the importance of prosody in spoken communication, researchers are often unable to reliably incorporate prosodic information into applications. One explanation is a lack of compact, consistent, and universal representations of prosodic information. This talk will describe the state of the art in prosodic analysis and its use in spoken language processing with a focus on the development of new representations of prosody.
Henrik Halén (Lead Rendering Programmer) at Electronic Arts presented "Style and Gameplay in the Mirror's Edge" at SIGGRAPH 2010's Stylized Rendering in Games. https://www.cs.williams.edu/~morgan/SRG10/
DiscoRank: optimizing discoverability on SoundCloudAmélie Anglade
These are the slides of the presentation I gave at the Realtime Conf EU on 23rd April 2013.
The full abstract of the talk can be found here: http://lanyrd.com/2013/realtime-conf-europe/scdtyf/
Analyze one year of radio station songs aired with Spark SQL, Spotify, and Da...Paul Leclercq
Paris Spark Meetup - May 2017
Video : https://www.youtube.com/watch?v=w5Zd-1wIJrU
AdHoc analysis of radio stations broadcasts stored in a parquet files with plain SQL, the dataframe API.
The aim was to notice radio stations habits, differences and if radio stations brainwashing is a thing
This talk's Databricks notebook can be found here : https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/6937750999095841/3645330882010081/6197123402747553/latest.html
A Talk on the Graph Database with tutorials
Introduction to the Graph databases and Cypher Query Language
Comparison of the SQL and the Cypher implementations
Introduction to Graph database, using K-pop as a database modelling case. From the idea of graph database, Neo4j installation, modelling, Cypher to business application.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Prosody is an essential component of human speech. Prosody, broadly, describes all of the production qualities of speech that are not involved in conveying lexical information. Where the words are “what is said”, prosody is “how it is said”. Prosody of speech, plays an important role not only in communicating the syntax, semantics and pragmatics of spoken language, but also in conveying information about the speaker and their internal state (e.g. emotion or fatigue).
Understanding prosody is critical to understanding speech communication. Spoken language processing (SLP) technology that approaches human levels of competence will necessarily include automatic analysis of prosody. Despite the importance of prosody in spoken communication, researchers are often unable to reliably incorporate prosodic information into applications. One explanation is a lack of compact, consistent, and universal representations of prosodic information. This talk will describe the state of the art in prosodic analysis and its use in spoken language processing with a focus on the development of new representations of prosody.
Henrik Halén (Lead Rendering Programmer) at Electronic Arts presented "Style and Gameplay in the Mirror's Edge" at SIGGRAPH 2010's Stylized Rendering in Games. https://www.cs.williams.edu/~morgan/SRG10/
DiscoRank: optimizing discoverability on SoundCloudAmélie Anglade
These are the slides of the presentation I gave at the Realtime Conf EU on 23rd April 2013.
The full abstract of the talk can be found here: http://lanyrd.com/2013/realtime-conf-europe/scdtyf/
Analyze one year of radio station songs aired with Spark SQL, Spotify, and Da...Paul Leclercq
Paris Spark Meetup - May 2017
Video : https://www.youtube.com/watch?v=w5Zd-1wIJrU
AdHoc analysis of radio stations broadcasts stored in a parquet files with plain SQL, the dataframe API.
The aim was to notice radio stations habits, differences and if radio stations brainwashing is a thing
This talk's Databricks notebook can be found here : https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/6937750999095841/3645330882010081/6197123402747553/latest.html
A Talk on the Graph Database with tutorials
Introduction to the Graph databases and Cypher Query Language
Comparison of the SQL and the Cypher implementations
Introduction to Graph database, using K-pop as a database modelling case. From the idea of graph database, Neo4j installation, modelling, Cypher to business application.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
10. What is Neo4j?
• A Graph Database
• A labelled property graph
• Nodes with properties and labels (both optional)
• Directed and named relationships with properties
(optional)
• ACID
• Schema free
• Scalable: Billions of nodes and relationships
• Fast: More than 2 million traversals per second
• Suited for highly connected and complex data
11. What is Neo4j
name:Neo
name: Agent
Smith
name:
Cypher
name:
Morpheus
name:TrinityLoves
Knows
Knows
{since: 1999}
Knows
Knows
Crew
Crew
Crew
Crew
MatrixMatrix
12. Cypher
• Declarative graph query language
• Based on English prose and neat
iconography
• Focuses on
• What to retrieve from the graph and not how to
retrieve it
• Pattern matching
• Your domain instead of database access
• Humane query language, suitable for
developers and operations professionals
13. Patterns and pictures
Neo Trinity
Loves
Neo loves Trinity
(Neo)-[:LOVES]->(Trinity)
Cypher
Agent
Smith
Knows
Cypher knows Agent Smith
(Cypher)-[:KNOWS]->(Agent Smith)
15. Example Query Structure
15
MATCH (u:User)-[:LISTENS_TO]->(a:Artist)
!
WHERE a.genre=“Rock”
!
WITH u, a, count(a) as artistCount
!
MATCH (a)-[r:PLAYING_IN]->(city)
!
WHERE r.ticketsAvailable=true
!
RETURN u,a,city.name as cityName
!
ORDER BY cityName LIMIT 5
16. MATCH
• Allows you to specify patterns that Cypher
will search for in the graph
16
23. Order By, Limit
23
MATCH (u:User)-[:LISTENS_TO]->(a:Artist)
!
WHERE a.genre=“Rock”
!
WITH u, a, count(a) as artistCount
!
MATCH (a)-[r:PLAYING_IN]->(city)
!
WHERE r.ticketsAvailable=true
!
RETURN u,a,city.name as cityName
!
ORDER BY cityName LIMIT 5
24. WITH
• Manipulate the result sequence before it is
passed on to the following query parts.
• The manipulations can be of the shape and/
or number of entries in the result set.
• Combines queries
24
27. What’s a Gist?
27
• A simple way to share snippets of code or
data
• Automatically versioned, forkable, usable
from Git
• Nicely rendered and presented
28. Okay, why?
• How do you share your graph model?
• Whiteboard?
• Document?
• How do you demonstrate queries?
• Need a live database?
• Modelling is incremental
28
29. What’s a GraphGist?
29
• An AsciiDoc file with:
• A graph domain model
• Descriptive text and pictures
• Example queries against the model
• Interactive and executable Cypher queries
• A Neo4j console for further exploration
• Nicely rendered and presented
30. GraphGist demos
• Trek and mountaineering routing
http://gist.neo4j.org/?09520d20fbe707951e1b
@shantaramw
• Organization learning
http://gist.neo4j.org/?8021754
@luannem
• Doctor Finder
http://gist.neo4j.org/?8748719
@fbiville
• Bombay Railway Routes
http://gist.neo4j.org/?8159102
@luannem 30