Peek into Neo4j Product Strategy and Roadmap
Anurag Tandon, VP Product Management, Neo4j
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.
GDG Cloud Southlake #16: Priyanka Vergadia: Scalable Data Analytics in Google...James Anderson
Do you know The Cloud Girl? She makes the cloud come alive with pictures and storytelling.
The Cloud Girl, Priyanka Vergadia, Chief Content Officer @Google, joins us to tell us about Scaleable Data Analytics in Google Cloud.
Maybe, with her explanation, we'll finally understand it!
Priyanka is a technical storyteller and content creator who has created over 300 videos, articles, podcasts, courses and tutorials which help developers learn Google Cloud fundamentals, solve their business challenges and pass certifications! Checkout her content on Google Cloud Tech Youtube channel.
Priyanka enjoys drawing and painting which she tries to bring to her advocacy.
Check out her website The Cloud Girl: https://thecloudgirl.dev/ and her new book: https://www.amazon.com/Visualizing-Google-Cloud-Illustrated-References/dp/1119816327
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!
Peek into Neo4j Product Strategy and Roadmap
Anurag Tandon, VP Product Management, Neo4j
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.
GDG Cloud Southlake #16: Priyanka Vergadia: Scalable Data Analytics in Google...James Anderson
Do you know The Cloud Girl? She makes the cloud come alive with pictures and storytelling.
The Cloud Girl, Priyanka Vergadia, Chief Content Officer @Google, joins us to tell us about Scaleable Data Analytics in Google Cloud.
Maybe, with her explanation, we'll finally understand it!
Priyanka is a technical storyteller and content creator who has created over 300 videos, articles, podcasts, courses and tutorials which help developers learn Google Cloud fundamentals, solve their business challenges and pass certifications! Checkout her content on Google Cloud Tech Youtube channel.
Priyanka enjoys drawing and painting which she tries to bring to her advocacy.
Check out her website The Cloud Girl: https://thecloudgirl.dev/ and her new book: https://www.amazon.com/Visualizing-Google-Cloud-Illustrated-References/dp/1119816327
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!
Enterprise guide to building a Data MeshSion Smith
Making Data Mesh simple, Open Source and available to all; without vendor lock-in, without complex tooling and to use an approach centered around ‘specifications’, existing tools and baking in a ‘domain’ model.
View IT operations as a flow of data (Sources of Truth) thru work-cells (automation processes) to deliver value to the customer.
There should be only one source of truth for every piece of configuration data.
Device configurations are poor source of truth.
The Enterprise Guide to Building a Data Mesh - Introducing SpecMeshIanFurlong4
For organisations to successfully adopt data mesh, setting up and maintaining infrastructure needs to be easy.
We believe the best way to achieve this is to leverage the learnings from building a ‘central nervous system‘, commonly used in modern data-streaming ecosystems. This approach formalises and automates of the manual parts of building a data mesh.
This presentation introduces SpecMesh; a methodology and supporting developer toolkit to enable business to build the foundations of their data mesh.
Solution Use Case Demo: The Power of Relationships in Your Big DataInfiniteGraph
In this security solution demo, we have integrated Oracle NoSQL DB with InfiniteGraph to demonstrate the power of using the right tools for the solution. By integrating the key value technology of Oracle with the InfiniteGraph distributed graph database, we are able to create new views of existing Call Detail Record (CDR) details to enable discovery of connections, paths and behaviors that may otherwise be missed.
Discover how to add value to your existing Big Data to increase revenues and performance!
OSMC 2023 | What’s new with Grafana Labs’s Open Source Observability stack by...NETWAYS
Open source is at the heart of what we do at Grafana Labs and there is so much happening! The intent of this talk to update everyone on the latest development when it comes to Grafana, Pyroscope, Faro, Loki, Mimir, Tempo and more. Everyone has had at least heard about Grafana but maybe some of the other projects mentioned above are new to you? Welcome to this talk 😉 Beside the update what is new we will also quickly introduce them during this talk.
Nicolas Rouyer, Senior Presales Consultant, Neo4j
L’innovation produit évolue rapidement chez Neo4j – découvrez comment la technologie des graphes peut vous fournir les outils nécessaires pour obtenir beaucoup plus de vos données !
This presentation was part of the Cloudify and XLAB Research Webinar about DevOps for Data Intensive Applications.
In this webinar we discussed how to leverage automation for your big data applications, using DICE tools based on the Cloudify Open Source Orchestration.
We want to make sure that developers use the time to develop their big data applications and not have to worry about deployment and operations, and have the shortest time to delivery possible.
We also cover using the DICE deployment tools for automated deployment of Spark, Storm, Cassandra or Hadoop.
Mysql User Camp : 20-June-14 : Mysql New features and NoSQL SupportMysql User Camp
This slide was presented at Mysql User Camp Event on 20-June-14 at Oracle bangalore. This presentation gives a good insight about New Features in Mysql 5.7 DMR 4 and Nosql Support in Mysql.
Atelier - Architecture d’applications de Graphes - GraphSummit ParisNeo4j
Atelier - Architecture d’applications de Graphes
Participez à cet atelier pratique animé par des experts de Neo4j qui vous guideront pour découvrir l’intelligence contextuelle. En utilisant un jeu de données réel, nous construirons étape par étape une solution de graphes ; de la construction du modèle de données de graphes à l’exécution de requêtes et à la visualisation des données. L’approche sera applicable à de multiples cas d’usages et industries.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Enterprise guide to building a Data MeshSion Smith
Making Data Mesh simple, Open Source and available to all; without vendor lock-in, without complex tooling and to use an approach centered around ‘specifications’, existing tools and baking in a ‘domain’ model.
View IT operations as a flow of data (Sources of Truth) thru work-cells (automation processes) to deliver value to the customer.
There should be only one source of truth for every piece of configuration data.
Device configurations are poor source of truth.
The Enterprise Guide to Building a Data Mesh - Introducing SpecMeshIanFurlong4
For organisations to successfully adopt data mesh, setting up and maintaining infrastructure needs to be easy.
We believe the best way to achieve this is to leverage the learnings from building a ‘central nervous system‘, commonly used in modern data-streaming ecosystems. This approach formalises and automates of the manual parts of building a data mesh.
This presentation introduces SpecMesh; a methodology and supporting developer toolkit to enable business to build the foundations of their data mesh.
Solution Use Case Demo: The Power of Relationships in Your Big DataInfiniteGraph
In this security solution demo, we have integrated Oracle NoSQL DB with InfiniteGraph to demonstrate the power of using the right tools for the solution. By integrating the key value technology of Oracle with the InfiniteGraph distributed graph database, we are able to create new views of existing Call Detail Record (CDR) details to enable discovery of connections, paths and behaviors that may otherwise be missed.
Discover how to add value to your existing Big Data to increase revenues and performance!
OSMC 2023 | What’s new with Grafana Labs’s Open Source Observability stack by...NETWAYS
Open source is at the heart of what we do at Grafana Labs and there is so much happening! The intent of this talk to update everyone on the latest development when it comes to Grafana, Pyroscope, Faro, Loki, Mimir, Tempo and more. Everyone has had at least heard about Grafana but maybe some of the other projects mentioned above are new to you? Welcome to this talk 😉 Beside the update what is new we will also quickly introduce them during this talk.
Nicolas Rouyer, Senior Presales Consultant, Neo4j
L’innovation produit évolue rapidement chez Neo4j – découvrez comment la technologie des graphes peut vous fournir les outils nécessaires pour obtenir beaucoup plus de vos données !
This presentation was part of the Cloudify and XLAB Research Webinar about DevOps for Data Intensive Applications.
In this webinar we discussed how to leverage automation for your big data applications, using DICE tools based on the Cloudify Open Source Orchestration.
We want to make sure that developers use the time to develop their big data applications and not have to worry about deployment and operations, and have the shortest time to delivery possible.
We also cover using the DICE deployment tools for automated deployment of Spark, Storm, Cassandra or Hadoop.
Mysql User Camp : 20-June-14 : Mysql New features and NoSQL SupportMysql User Camp
This slide was presented at Mysql User Camp Event on 20-June-14 at Oracle bangalore. This presentation gives a good insight about New Features in Mysql 5.7 DMR 4 and Nosql Support in Mysql.
Atelier - Architecture d’applications de Graphes - GraphSummit ParisNeo4j
Atelier - Architecture d’applications de Graphes
Participez à cet atelier pratique animé par des experts de Neo4j qui vous guideront pour découvrir l’intelligence contextuelle. En utilisant un jeu de données réel, nous construirons étape par étape une solution de graphes ; de la construction du modèle de données de graphes à l’exécution de requêtes et à la visualisation des données. L’approche sera applicable à de multiples cas d’usages et industries.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
SOPRA STERIA - GraphRAG : repousser les limitations du RAG via l’utilisation ...Neo4j
Romain CAMPOURCY – Architecte Solution, Sopra Steria
Patrick MEYER – Architecte IA Groupe, Sopra Steria
La Génération de Récupération Augmentée (RAG) permet la réponse à des questions d’utilisateur sur un domaine métier à l’aide de grands modèles de langage. Cette technique fonctionne correctement lorsque la documentation est simple mais trouve des limitations dès que les sources sont complexes. Au travers d’un projet que nous avons réalisé, nous vous présenterons l’approche GraphRAG, une nouvelle approche qui utilise une base Neo4j générée pour améliorer la compréhension des documents et la synthèse d’informations. Cette méthode surpasse l’approche RAG en fournissant des réponses plus holistiques et précises.
ADEO - Knowledge Graph pour le e-commerce, entre challenges et opportunités ...Neo4j
Charles Gouwy, Business Product Leader, Adeo Services (Groupe Leroy Merlin)
Alors que leur Knowledge Graph est déjà intégré sur l’ensemble des expériences d’achat de leur plateforme e-commerce depuis plus de 3 ans, nous verrons quelles sont les nouvelles opportunités et challenges qui s’ouvrent encore à eux grâce à leur utilisation d’une base de donnée de graphes et l’émergence de l’IA.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GraphAware - Transforming policing with graph-based intelligence analysisNeo4j
Petr Matuska, Sales & Sales Engineering Lead, GraphAware
Western Australia Police Force’s adoption of Neo4j and the GraphAware Hume graph analytics platform marks a significant advancement in data-driven policing. Facing the challenges of growing volumes of valuable data scattered in disconnected silos, the organisation successfully implemented Neo4j database and Hume, consolidating data from various sources into a dynamic knowledge graph. The result was a connected view of intelligence, making it easier for analysts to solve crime faster. The partnership between Neo4j and GraphAware in this project demonstrates the transformative impact of graph technology on law enforcement’s ability to leverage growing volumes of valuable data to prevent crime and protect communities.
GraphSummit Stockholm - Neo4j - Knowledge Graphs and Product UpdatesNeo4j
David Pond, Lead Product Manager, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Shirley Bacso, Data Architect, Ingka Digital
“Linked Metadata by Design” represents the integration of the outcomes from human collaboration, starting from the design phase of data product development. This knowledge is captured in the Data Knowledge Graph. It not only enables data products to be robust and compliant but also well-understood and effectively utilized.
Your enemies use GenAI too - staying ahead of fraud with Neo4jNeo4j
Delivered by Michael Down at Gartner Data & Analytics Summit London 2024 - Your enemies use GenAI too: Staying ahead of fraud with Neo4j.
Fraudsters exploit the latest technologies like generative AI to stay undetected. Static applications can’t adapt quickly enough. Learn why you should build flexible fraud detection apps on Neo4j’s native graph database combined with advanced data science algorithms. Uncover complex fraud patterns in real-time and shut down schemes before they cause damage.
BT & Neo4j _ How Knowledge Graphs help BT deliver Digital Transformation.pptxNeo4j
Delivered by Sreenath Gopalakrishna, Director of Software Engineering at BT, and Dr Jim Webber, Chief Scientist at Neo4j, at Gartner Data & Analytics Summit London 2024 this presentation examines how knowledge graphs and GenAI combine in real-world solutions.
BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Future innovation plans include the exploration of uses of EKG + Generative AI.
Workshop: Enabling GenAI Breakthroughs with Knowledge Graphs - GraphSummit MilanNeo4j
Look beyond the hype and unlock practical techniques to responsibly activate intelligence across your organization’s data with GenAI. Explore how to use knowledge graphs to increase accuracy, transparency, and explainability within generative AI systems. You’ll depart with hands-on experience combining relationships and LLMs for increased domain-specific context and enhanced reasoning.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdfJay Das
With the advent of artificial intelligence or AI tools, project management processes are undergoing a transformative shift. By using tools like ChatGPT, and Bard organizations can empower their leaders and managers to plan, execute, and monitor projects more effectively.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
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.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
2. Safe Harbour Roadmap Disclaimer
The information presented here is Neo4j, Inc. confidential and does
not constitute, and should not be construed as, a promise or
commitment by Neo4j to develop, market or deliver any particular
product, feature or function.
Neo4j reserves the right to change its product plans or roadmap at
any time, without obligation to notify any person of such changes.
The timing and content of Neo4j’s future product releases could
differ materially from the expectations discussed herein.
Neo4j Inc. All rights reserved 2023
2
4. Neo4j Inc. All rights reserved 2023
4
A Modern, Enterprise Data Platform
Graph Applications
(System of Record Applications)
Application Stack
Real-time Messaging & Processing
(Clickstream, IOT, CDC etc.)
Developer
Intelligent apps
Data Analyst
Query and analyze
Biz Analyst
Visual Analytics
Data Scientist
Algorithms and features
Data engineer
Get clean, useful data
ML Engineer
ML Ops
Data Platform
AI/ML Ops
BI Platforms
Graph Analytics & Analytical Apps
(Real-time applications, visualizations
and algorithms)
Powered by
5. Neo4j Inc. All rights reserved 2023
5
A Data Platform designed for the Cloud
Fully-managed SaaS
Consumption-based pricing
Cloud-native
Self-service deployment
No access to underlying
infrastructure and systems
White-glove managed service
by Neo4j experts
Fully customizable deployment
model and service levels
Operate In own data centers
or Virtual Private Cloud
For private and hybrid
cloud, or on-prem
Bring your own license
Full control of your environment
Run in any cloud, in your account
Graph-as-a-Service Self-hosted
Cloud Managed Services
6. Neo4j Inc. All rights reserved 2023
6
Neo4j Database built for
Operational and Analytical Workloads
Graph Transactions,
Storage & Querying
Graph Analytics, ML,
& Data Science
Intelligent Operational Systems Better Predictions for Analytics
7. Neo4j Inc. All rights reserved 2023
7
Neo4j Database built for
Operational and Analytical Workloads
Enterprise
Trust &
Security
Runs on Cloud
(Azure, Google and AWS)
and on-premises
Scale: Autonomous Clustering
& Composite Databases (Fabric)
Hybrid
Workloads
Native Graph
Architecture
Powers
Graph Data
Science
Comprehensive
Toolset &
Ecosystem
connectivity
Large
Community
growing 80%
yoy
Supports all
data shapes &
relationships
9. Neo4j 5 Continuous Release Support Model
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5.LTS.0
Fixes ONLY
Fixes
Frequent
5.0.0
5.LTS+n.0
Features
LTS in June 2024
Final Features
Released
End of
Support
Nov 2027
Upgrade to the latest version to receive latest
fixes from Support
-New features and fixes released in each Minor releases
-Frequent Minor releases aligned between Aura and self-managed
-Ensure two-way migration
-Supports any-to-any upgrade e.g. 5.0 → 5.4
-Long Term Support for a minimum period of 3.5 yrs
10. The Journey so far
5.0
Asyncio Python functions-Python Panda dataframes support-
ElementID object and function-Notifications-Graph Pattern Matching
with inline rel patterns and label expressions- COUNT {} - EXISTS {}
RANGE and POINT indexes-FULLTEXT indexes for lists-faster k-hop
queries-SLOTTED runtime in CE-Incremental offline import-Write
operations in PIPELINED runtime-Autonomous Clustering-
Composite databases
Immutable privileges-Server Side Routing enabled by
default-neo4j-admin interface-CREATE DATABASE from
URI-New backup with differential load-strict validation configuration
-Namespaces for metrics-log4j controlled logs Cypher Shell logging
& impersonation
5.1 Online analyzer in FULLTEXT queries
Id type support for incremental import-Trigram analyzer for TEXT
indexes-Server Side Routing support for reads
5.2 graph.propertiesByName() for composite databases DRYRUN command for Autonomous Clustering Helm Charts for Neo4j 5
5.3 New version of shortest path-subquery support for COUNT and EXISTS
for non-updating queries
Multiple ID columns for CSV import-Improved searches by
ElementID-Improved routing procedures
Extended SHOW DATABASES-extended min password length-
automated quarantine databases
5.4 Warnings for queries with relationship type expressions that can
never be fulfilled-IntersectionNodeByLabelsScan operator
Command completion scripts for neo4j and neo4j-admin-New
licensing acceptance for trial and commercial
5.5 Simplified query API in the official language drivers-plan count store
lookup for relationship endpoints
ALTER DATABASE can update the topology from a single primary to
many primaries
neo4j-admin copy can perform in-place compact/clean-up of a
database-neo4j-admin server validate-config
5.6
Support for bookmarks and CALL {} IN TRANSACTIONS in HTTP Cypher
Transactional API-NotificationCode class including severity level,
category, title and code-COLLECT subqueries
Server tags SHOW SETTINGS Cypher command
5.7 Relationship property uniqueness and relationship key constraints-
error and status output for CALL IN TRANSACTIONS
ALTER DATABASE…WAIT-improved shared cache for multidatabases-
:param and :params in Cypher Shell with Cypher map based syntax
5.8 db.logs.query.annotation_data_as_json_enabled to configure the
output format of annotation data in the query log to be JSON
Automated clustering upgrade-Improved configuration file validation
5.9 Quantified path patterns extended to match against repetitions of
complex subpaths.
Combine time-based transaction log pruning strategy with max size
limit
5.10 Property type constraint: node and relationship properties can now
be restricted to be of a specific type.
Property type constraints include support for list types-<SCALAR
TYPE> NOT NULL variants to the Type Predicate Expression
Clusters can be configured to automatically enable new members
that join the cluster
5.11 HNSW Vector Search Indexes
Expand property type constraints with support for union types and
Type Predicate Expressions to allow for multiple types to be
checked at once
SHOW DATABASE now reports databases starting and stopping-New
index metrics: <prefix>.index.<indexType>.(queried|populated) -
:sysinfo command to Cypher Shell
5.12
Improved argument validation in vector index procedures-
db.nameFromElementId to resolve the database name for a given
element id in Fabric
Track memory of de-referenced nodes and relationships in
ProduceResult-:sysinfo command to Cypher Shell
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11. Graph Pattern Matching
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Part of the upcoming GQL standard.
It extends the expressivity of graph navigation
(the ASCII art expression after MATCH statements).
Simpler alternative syntax
to navigate and traverse
your graph.
We are working on:
✔ Quantified Path Pattern
✱ Shortest Path for QPPs
✱ MATCH modes: Repeatable Elements
MATCH (:Station { name:'Denmark Hill' })<-[:CALLS_AT]-(d:Stop)
( (:Stop)-[:NEXT]->(:Stop) ){1,3}
(a:Stop)-[:CALLS_AT]->(:Station { name:'Clapham Junction' })
RETURN d.departs AS departureTime, a.arrives AS arrivalTime
12. GQL Standard
GQL is the upcoming ISO standard for
Graph query languages, inspired by
Cypher.
The most 'user-desired' GQL features
have been in development for some
time (Graph Pattern Matching is an
example).
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14. Very Large Graphs: LDBC Trillion Entity Graph
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LDBC social forum data set-3 Billion users, 1110 forums, scaled horizontally across 1129 servers
● Full dataset is 280 TB with 1 trillion relationships
● 1128 forum shards (250GB each), 1 person shard
(850GB), 3 Neo4j Fabric processors (16 vCPU-
64GB RAM)
● Forum shards contains 900 million relationships
and 182 million nodes
● Person shard contains 3 billion people and 16
billion relationships between them
● Query response times range from 12-66ms
https://github.com/neo4j/trillion-graph
15. Unbounded Scalability To Harness All Data
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Autonomous Clustering
Easy, Automated Horizontal Scale-Out
Fabric
Federated Queries and Sharded Graphs
Elastic policy-driven scale up and down on demand for extreme
performance, guaranteed availability with consistency
Scale clusters to 100s of machines
High Availability with automated failover
0 downtime upgrades
Query multiple business graphs
Chain queries for sophisticated real-time analysis
Hybrid cloud queries
17. What if…
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…you can…
Run faster queries
Use less memory
Get faster property access
Make improvements faster
Christian Gloor-CC BY-SA 2.0
18. Introducing Block Format
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Faster queries-read queries improvements
and even benefits on write performance.
Memory efficient — optimized collocation of
data with improvements on systems where
the working set doesn’t fit into memory. Few
pages need to be loaded to serve a query.
Faster property access — properties are
stored in blocks with their Node/Relationship,
reducing the amount of pointer chasing
required to access them.
• Data is colocated
• Uses dynamic records and tree structures to
handle “growing” data
Small store
Dynamic store
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How CDC works
Tx Logs
App e.g. Demo Go App
CALL Cdc.query("A3V16ZaL6lU7mppHLFkWrl…A0A")
Neo4j Driver e.g. Go Driver
Tx1
Poll every 500ms
{ "id": "A3V16ZaL6lU7mppppHLFkWrl…A0AA",
"txId": 12,
"seq": 0,
"metadata": {
"executingUser": "neo4j",
"authenticatedUser": "neo4j",
"captureMode": "FULL",
"connectionClient": "127.0.0.1:51320",
"serverId": "e605bd8f",
"connectionType": "bolt",
"connectionServer": "127.0.0.1:51316",
"txStartTime": "2023-03-03T11:58:30.429Z",
"txCommitTime": "2023-03-03T11:58:30.526Z" },
"event": {
"elementId": "4:b7e35973-0aff-42fa-873b-5de31868cb4a:1",
"keys": { "userId": "1001",
"name": "John",
"lastName": "Doe" }
}
}
Application updates the graph
e.g. adds a new user John Doe.
Event written to the transaction log.
23. Cypher Parallel Runtime
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Distribute
long-running
analytical query plans
across multiple
concurrent threads.
Dramatic speedup of
analytical queries
Users can configure the
number of cores available to
the Parallel Runtime-leaving
remaining cores for
transactional workloads &
other runtimes.
Works best on servers with
low concurrency.
Parallel Runtime drastically
reduces the response times for
analytical and other long-running
read-only queries.
Particularly suited to ‘graph
global’ analytical queries, i.e., that
do not specify a starting node and
result in large graph traversals.
Typically benefits
long-running, analytical
queries in low-concurrency
environments.
Fast-running queries are
unlikely to perform better (and
may run slower) on Parallel
Runtime.
Can be used on servers
with mixed (analytical
& transactional
workloads)
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CYPHER runtime = parallel
MATCH (:Station { name: 'Denmark Hill' })<-[:CALLS_AT]-(d:Stop)
((:Stop)-[:NEXT]->(:Stop))+
(a:Stop)-[:CALLS_AT]->(:Station { name: 'Clapham Junction' })
RETURN count(*)
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Tests and use cases
CYPHER runtime = parallel
MATCH (u:User)-[:POSTED]->(q:Question)-[:TAGGED]->(t:Tag)
WHERE $datetime <= q.createdAt
< $datetime + duration({months: $months})
RETURN t.name AS name, count(DISTINCT u) AS users,
max(q.score) AS score,
round(avg(count{(q)<-[:ANSWERED]-()}),2) AS avgAnswers,
count(DISTINCT q) AS questions
ORDER BY questions DESC LIMIT 20
Benchmark Query
pipelined
(8 cpu)
parallel
(8 cpu)
parallel
(16 cpu)
parallel
(32 cpu)
parallel
(48 cpu)
parallel
(64 cpu)
parallel
(96 cpu)
"User_Engagement_Per_Tag" 58781 6229 3194 1671 1562 806 574
Speedup 9x 18x 35x 38x 73x 103x
On Stackoverflow, which tags correlate with the best (highest scoring) user engagement?
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Thursday, October 26 2023
Join us for NODES 2023
a free 24-hour online conference for developers, data scientists,
architects, and data analysts across the globe. Whether you’re a
beginner or an expert, you’ll find inspiring content on the latest
innovations in graph technology for your applications and ML
models–so you can build your skills and stay ahead of the curve.
Save your seat-https://neo4j.com/event/nodes-2023