URL Funnel Optimisation: How to get budget for SEO - Michal Magdziarz, CEO, D...DeepCrawl
In his talk, DeepCrawl CEO, Michal Magdziarz breaks down the disconnect between SEOs and CEOs. He explains why he believes SEOs are still fighting to justify more budget and resource and provides actionable insights as to how they can prove the impact they have on the wider business.
Applying graph analytics on data stored in relational databases can provide tremendous value in many application domains. We discuss the importance of leveraging these analyses, and the challenges in enabling them. We present a tool, called GraphGen, that allows users to visually explore, and rapidly analyze (using NetworkX) different graph structures present in their databases.
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...InfluxData
IBM has been innovating to create new products for its clients and the world for over a century. Customers look to IBM Power Systems to address their hybrid multicloud infrastructure needs. Larger POWER9 servers can have up to 192 CPU cores, 64 TB of memory, dozens of PB of SAN storage, and typically run a mixture of AIX (UNIX) and Enterprise Linux (RHEL or SLES) workloads. As part of its sales process, IBM is always benchmarking its new hardware and software which clients use to monitor their systems. Discover how IBM and its clients are using InfluxDB and Grafana to collect, store and visualize performance data, which is used to monitor and tune for peak performance in ever-changing workload environments.
Join this webinar featuring Nigel Griffiths from IBM, Ronald McCollam from Grafana Labs, and Russ Savage from InfluxData to learn how you can use InfluxDB and Grafana to improve large production workloads. Learn about the latest product updates from InfluxData and Grafana Labs.
URL Funnel Optimisation: How to get budget for SEO - Michal Magdziarz, CEO, D...DeepCrawl
In his talk, DeepCrawl CEO, Michal Magdziarz breaks down the disconnect between SEOs and CEOs. He explains why he believes SEOs are still fighting to justify more budget and resource and provides actionable insights as to how they can prove the impact they have on the wider business.
Applying graph analytics on data stored in relational databases can provide tremendous value in many application domains. We discuss the importance of leveraging these analyses, and the challenges in enabling them. We present a tool, called GraphGen, that allows users to visually explore, and rapidly analyze (using NetworkX) different graph structures present in their databases.
Discover How IBM Uses InfluxDB and Grafana to Help Clients Monitor Large Prod...InfluxData
IBM has been innovating to create new products for its clients and the world for over a century. Customers look to IBM Power Systems to address their hybrid multicloud infrastructure needs. Larger POWER9 servers can have up to 192 CPU cores, 64 TB of memory, dozens of PB of SAN storage, and typically run a mixture of AIX (UNIX) and Enterprise Linux (RHEL or SLES) workloads. As part of its sales process, IBM is always benchmarking its new hardware and software which clients use to monitor their systems. Discover how IBM and its clients are using InfluxDB and Grafana to collect, store and visualize performance data, which is used to monitor and tune for peak performance in ever-changing workload environments.
Join this webinar featuring Nigel Griffiths from IBM, Ronald McCollam from Grafana Labs, and Russ Savage from InfluxData to learn how you can use InfluxDB and Grafana to improve large production workloads. Learn about the latest product updates from InfluxData and Grafana Labs.
10 Big Data Technologies you Didn't Know About Jesus Rodriguez
This session covers 9 new and exciting big data technologies that are starting to become relevant in the enterprise. The session focuses on technologies that are still not mainstream but that have the potential to influence the next generation of enterprise big data solutions
Implementing OpenAPI and GraphQL services with gRPCTim Burks
Behind every API there's code. REST and GraphQL are powerful interface abstractions but are not so great for writing code (we’re still looking for the programming language where every command is a GET, POST, PUT, or DELETE). When programmers work, they are usually making function calls, and an RPC framework like gRPC allows those functions to be written in a mixture of languages and distributed among many servers. This means that gRPC can be a great way to implement REST and GraphQL APIs at scale. We’ll share open source projects from Google that can be used to implement OpenAPI and GraphQL services with gRPC and give you hands-on experience with both.
Presented at the 2019 API Specifications Conference.
https://asc2019.sched.com/event/T6u9/workshop-implementing-openapi-and-graphql-services-with-grpc-tim-burks-google
Neo4j : la voie du succès avec les bases de données de graphes et la Graph Da...Neo4j
GraphSummit Paris
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.
In this slide, we go through the Google Dapper, OpenTracing, Jaeger to OpenTelemetry. By reading and studying the history of Dapper, we could lean the experience and design theory of a large-scale distributed tracing system and then know how it affects other solutions, like OpenTracing and Jaeger.
We also discuss the difference between the OpenTracing and Jaeger and also demonstrate how Jaeger works and looks like.
After, we talked about the future of OpenTracing, the new organization called OpenTelemetry, what's its goal and how to do that.
Making Machine Learning Easy with H2O and WebFluxTrayan Iliev
Machine learning is becoming a must for many business domains and applications. H2O is a best-of-breed, open source, distributed machine learning library written in Java. The presentation shows how to create and train machine learning models easily using H2O Flow web interface, including Deep Learning Neural Networks (DNNs). The session provides a tutorial how to develop and deploy fullstack-reactive face recognition demo using React + RxJS WebSocket front-end, OpenCV, Caffe CNN for image segmentation, OpenFace CNN for feature extraction, H20 Flow for face recognition interactive model training and export as POJO. The trained POJO model is incorporated in a real-time streaming web service implemented using Spring 5 Web Flux and Spring Boot. All demo is 100% Java!
Introduction to Nebula Graph, an Open-Source Distributed Graph DatabaseNebula Graph
This deck introduces Nebula Graph, the open-source distributed graph database, in a thorough manner. The agenda includes:
1. The founder and CEO, Sherman Ye, who is a graph database forerunner once working for Facebook and Ant Financial
2. The development team of Nebula Graph, who collectively has years of experience in the graph database field
3. What is a graph database
4. Why Nebula Graph is open sourced
5. The architecture of Nebula Graph
6. The advantages of Nebula Graph as a distributed graph database:
1) In architecture - shared-nothing distributed architecture and the separation of storage and computation for real horizontal scalability
2) In data amount that can be processed - From one of our users in their production environment: 150TB, one trillion edges/connections, an hourly update of 10 billion connections
3) In performance - Meituan, Tencent Cloud, and 360 Digitech have all conducted benchmarking test of Nebula Graph against other competitors such as Neo4j, Dgraph, and JanusGraph. You can see the results in the deck.
7. Adopters. Currently Nebula Graph has been deployed by internet giants like Tencent, Meituan, and Xiaohongshu in their production environments for various use cases: real-time recommendation, risk control, knowledge graph, etc.
8. Roadmap of Nebula Graph
🚀 What Are GPTs?
GPTs are tailor-made ChatGPT versions that you can craft to suit your specific needs. Whether it's for learning new skills, aiding in education, or assisting in unique work tasks, these custom GPTs are designed to be versatile and incredibly user-friendly.
✨ Create Your Own AI Assistant - No Coding Required! The best part? You don't need to be a tech wizard to create your GPT. The process is as simple as starting a conversation - guiding the AI, feeding it extra knowledge, and choosing its capabilities, like web searching, crafting images, or data analysis.
More Related Content
Similar to Graph protocol for accessing information about blockchains and d apps
10 Big Data Technologies you Didn't Know About Jesus Rodriguez
This session covers 9 new and exciting big data technologies that are starting to become relevant in the enterprise. The session focuses on technologies that are still not mainstream but that have the potential to influence the next generation of enterprise big data solutions
Implementing OpenAPI and GraphQL services with gRPCTim Burks
Behind every API there's code. REST and GraphQL are powerful interface abstractions but are not so great for writing code (we’re still looking for the programming language where every command is a GET, POST, PUT, or DELETE). When programmers work, they are usually making function calls, and an RPC framework like gRPC allows those functions to be written in a mixture of languages and distributed among many servers. This means that gRPC can be a great way to implement REST and GraphQL APIs at scale. We’ll share open source projects from Google that can be used to implement OpenAPI and GraphQL services with gRPC and give you hands-on experience with both.
Presented at the 2019 API Specifications Conference.
https://asc2019.sched.com/event/T6u9/workshop-implementing-openapi-and-graphql-services-with-grpc-tim-burks-google
Neo4j : la voie du succès avec les bases de données de graphes et la Graph Da...Neo4j
GraphSummit Paris
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.
In this slide, we go through the Google Dapper, OpenTracing, Jaeger to OpenTelemetry. By reading and studying the history of Dapper, we could lean the experience and design theory of a large-scale distributed tracing system and then know how it affects other solutions, like OpenTracing and Jaeger.
We also discuss the difference between the OpenTracing and Jaeger and also demonstrate how Jaeger works and looks like.
After, we talked about the future of OpenTracing, the new organization called OpenTelemetry, what's its goal and how to do that.
Making Machine Learning Easy with H2O and WebFluxTrayan Iliev
Machine learning is becoming a must for many business domains and applications. H2O is a best-of-breed, open source, distributed machine learning library written in Java. The presentation shows how to create and train machine learning models easily using H2O Flow web interface, including Deep Learning Neural Networks (DNNs). The session provides a tutorial how to develop and deploy fullstack-reactive face recognition demo using React + RxJS WebSocket front-end, OpenCV, Caffe CNN for image segmentation, OpenFace CNN for feature extraction, H20 Flow for face recognition interactive model training and export as POJO. The trained POJO model is incorporated in a real-time streaming web service implemented using Spring 5 Web Flux and Spring Boot. All demo is 100% Java!
Introduction to Nebula Graph, an Open-Source Distributed Graph DatabaseNebula Graph
This deck introduces Nebula Graph, the open-source distributed graph database, in a thorough manner. The agenda includes:
1. The founder and CEO, Sherman Ye, who is a graph database forerunner once working for Facebook and Ant Financial
2. The development team of Nebula Graph, who collectively has years of experience in the graph database field
3. What is a graph database
4. Why Nebula Graph is open sourced
5. The architecture of Nebula Graph
6. The advantages of Nebula Graph as a distributed graph database:
1) In architecture - shared-nothing distributed architecture and the separation of storage and computation for real horizontal scalability
2) In data amount that can be processed - From one of our users in their production environment: 150TB, one trillion edges/connections, an hourly update of 10 billion connections
3) In performance - Meituan, Tencent Cloud, and 360 Digitech have all conducted benchmarking test of Nebula Graph against other competitors such as Neo4j, Dgraph, and JanusGraph. You can see the results in the deck.
7. Adopters. Currently Nebula Graph has been deployed by internet giants like Tencent, Meituan, and Xiaohongshu in their production environments for various use cases: real-time recommendation, risk control, knowledge graph, etc.
8. Roadmap of Nebula Graph
🚀 What Are GPTs?
GPTs are tailor-made ChatGPT versions that you can craft to suit your specific needs. Whether it's for learning new skills, aiding in education, or assisting in unique work tasks, these custom GPTs are designed to be versatile and incredibly user-friendly.
✨ Create Your Own AI Assistant - No Coding Required! The best part? You don't need to be a tech wizard to create your GPT. The process is as simple as starting a conversation - guiding the AI, feeding it extra knowledge, and choosing its capabilities, like web searching, crafting images, or data analysis.
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In this presentation, we will delve into the exciting applications of Generative AI across various business domains. Leveraging the capabilities of artificial intelligence and machine learning, Generative AI allows for dynamic, context-aware user interfaces that adapt in real-time to provide personalized user experiences. We will explore how this transformative technology can streamline design processes, facilitate user engagement, and open the doors to new forms of interactivity.
Non-fungible tokens (NFTs) are unique digital assets that are verified on a blockchain network, allowing for the creation and ownership of one-of-a-kind digital items, such as artwork, music, videos, and other types of digital content. They are important because they provide a way for digital creators to monetize their work and establish ownership, scarcity, and authenticity of their creations. NFTs have also gained popularity as a form of investment and collectible item, with some NFTs selling for millions of dollars.
This slide deck includes the following sections:
Introduction: Provide a brief overview of what NFTs are and their significance in the digital world.
How NFTs work: Explain the process of creating and verifying NFTs on a blockchain network, including the use of smart contracts and cryptographic hashing.
Types of NFTs: Describe the various types of NFTs that can be created, such as digital artwork, music, videos, and other types of digital content.
Benefits of NFTs: Highlight the benefits of NFTs, including the ability to establish ownership, scarcity, and authenticity of digital assets, as well as their potential as a new source of revenue for creators.
Market trends: Provide an overview of the current state of the NFT market, including recent sales and trends in various industries, such as art, sports, and gaming.
Potential use cases: Discuss potential use cases for NFTs beyond the current market, such as in the areas of identity verification, supply chain management, and digital voting.
Challenges and risks: Acknowledge the challenges and risks associated with NFTs, such as environmental concerns related to blockchain networks and the potential for fraudulent activity.
Conclusion: Summarize the key takeaways of the presentation and emphasize the growing importance of NFTs in the digital world.
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In order to help our clients to plan and execute digital transformation, we need to understand foundational elements, including smart contracts and languages that are popular in developing smart contracts.
In this presentation, we share an overview of what a smart contract is and how it functions, look into the real-world examples of smart contracts, and tools that are used to develop smart contracts. We look into Solidity, a powerful programming language that enables developers to create complex and sophisticated smart contract applications on Ethereum-compatible blockchains.
There is no expectation of prior knowledge of blockchain technology or smart contracts development and we are expecting to have a lively and engaging session.
Ethereum and other blockchains are finding their way into the enterprise world. We look into common use cases, blockchains, and standard approaches to deploy and access enterprise blockchains
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IPFS
Filecoin
Arweave
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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.
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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
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1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
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Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
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Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
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GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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
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Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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.
2. What is THE Graph?
The Graph (GRT) seeks to facilitate the seamless exchange of data between
blockchains and applications. The platform is among the first decentralized indexing
and querying software available in the market
The Graph is the indexing and query layer of the
decentralized web. Developers build and publish open APIs,
called subgraphs, that applications can query using
GraphQL. The Graph currently supports indexing data from
Ethereum, IPFS, and PoA with more networks coming soon.
To date, over 10,000 subgraphs have been deployed by
~16,000 developers for applications, such as Uniswap,
Synthetix, Aragon, Gnosis, Balancer, Livepeer, DAOstack,
AAVE, Decentraland, and many others.
The Graph is a query protocol for blockchain data
using GraphQL
3. Q: What problem(s) solved by the
GRAPH?
Traditional way
• https://etherscan.io/
The Blockchain Way
• https://thegraph.com/explorer
A: Access to Blockchain Data
4. Vocabulary
•Graph is a decentralized protocol for indexing and querying data
from blockchains
Graph
•A subgraph defines which data The Graph will index from Ethereum,
and how it will store it. Once deployed, it will form a part of a global
graph of blockchain data.
Subgraph
•GraphQL is a query language for your API, and a server-side runtime
for executing queries using a type system you define for your data.
GraphQL isn't tied to any specific database or storage engine and is
instead backed by your existing code and data.
GraphQL
•Graph (GRT) coin is the native token of the network. Its main use is
coordinating the work on The Graph. GRT is an ERC20 token.
GRT Coin
8. Who is using graph?
DeFi makes up 57% of queried
subgraphs. Meanwhile, 11% of subgraphs serve NFT
marketplaces, arts, and gaming. 7% of subgraphs are
related to cross-chain use cases like synthetic bitcoin
and protocol bridges, signifying an increase in
interoperability between dapps
9. 1 Billion Monthly Queries
10,000+ cryptocurrencies
10% of Google Search Request
11. The Graph Foundation
The Graph Foundation oversees The Graph Network. The
Graph Foundation is overseen by the Technical Council.
Edge & Node is one of the many organizations within The
Graph ecosystem.
Represent: Indexers, Users, Researchers, Backers and Initial Team
Grants
1. The Graph Foundation Operations
2. Grants and Ecosystem Funding
3. Protocol Upgrades
4. Protocol Parameterization
5. Emergency Protocol Operations
14. ROLES AND RESPONSIBILITIES
Consumer
•End-users of The Graph that query subgraphs and pay query fees
Developer
•Create subgraph
Indexer
•Index Data & Serve Queries
•Run Nodes
•Earn query fee
Curator
•Assess and signal Indexers on the subgraphs that should be indexed
•Deposit GRP into bounding curve
•10% of all query fees goes to the Curators
Delegator
•Delegating GRT to Indexers
•Earn a portion of query fees and indexing
21. Query with API
1. Get API KEY
https://thegraph.com/studio/apikeys/
2. Get Query URL
https://gateway.thegraph.com/api/{KEY}/subgraphs/id/0x4bb4c1b0745ef7b4642feeccd0740dec417ca0a0-0
https://thegraph.com/blog/announcing-the-graph-foundation
https://www.notion.so/The-Graph-Foundation-e822e66d7b614fdd899a647f5db51a68
https://streamingfastio.medium.com/the-graph-foundation-awards-60-million-grant-to-streamingfast-to-join-the-graph-as-a-core-e36be45f8d49
Indexers, Users, Researchers, Backers and Initial Team
There were more than 2K Curators from over 90 different countries and over 170 Indexers from more than 50 countries in The Graph’s testnet. The Graph community is globally distributed, with over 4,500 GRT holders from more than 99 different countries world-wide. Delegation can happen by anyone who holds GRT. Today, there are over 5K Delegators on The Graph Network.
https://thegraph.com/explorersubgraph?id=0x4bb4c1b0745ef7b4642feeccd0740dec417ca0a0-0&view=Playground
pairs(first: 5) {
id
name
totalSupply
}
{
dayDatas(first: 5) {
id
txCount
factory {
id
volumeUSD
}
}
}
pairs(orderBy: totalSupply, orderDirection: asc, first: 5) {
id
name
totalSupply
}
{
pairs(orderBy: volumeUSD, orderDirection: desc, skip: 10) {
id
name
totalSupply
volumeUSD
}
}
pairs(where:{id: "0x34d7d7aaf50ad4944b70b320acb24c95fa2def7c"})
{
id
name
totalSupply
volumeUSD
}
{
tokenDayDatas(orderBy: volumeUSD, orderDirection: desc)
{
id
date
token{
id
symbol
}
volumeUSD
priceUSD
}
}