Persistent graphs in Python with Neo4j

Este documento introduz o banco de dados orientado a grafos Neo4j. Explica que os bancos de dados orientados a grafos representam dados e esquemas como grafos, tornando consultas como menor caminho mais simples. Também descreve os principais conceitos do Neo4j como nós, rótulos, relacionamentos e propriedades e demonstra exemplos básicos de consultas Cypher e integração com C#.

This document discusses polyglot persistence with Neo4j and provides tools and integrations for combining Neo4j with other databases. It introduces the Neo4j Doc Manager for syncing documents from MongoDB to Neo4j, the official Neo4j Docker image, and the Neo4j Cassandra Data Import Tool. It also discusses Neo4j 3.0 features like Bolt, stored procedures, and drivers.

Compelling location-based services require more than simple “what’s near me?” operations. The Open Street Map dataset is a perfect example of a rich geographically-based wiki that can be used for much more than map rendering. With the newly released Neo4j Spatial, any data can be adapted to complex queries with geographic components like “Select all streets in the Municipality of NYC where at least 2 of my friends are walking right now”. The talk will demonstrate the important benefits of modeling geodata in a graph, the main components needed to expose data to geo stacks like map servers, and explain how the Open Street Map dataset is modeled in Neo4j. I’ll show how using Neo4j unlocks the full potential of the OSM data far beyond just rendering maps. There will also be some cool examples of Neo4j Spatial, from Telecomms network planning, Web-based AJAX GIS systems, topology editing and routing to REST and Web Feature Service endpoints, all in a single stack. This is Location-based Services on steroids!

O documento discute bancos de dados de grafos, que armazenam dados em vértices e arestas ao invés de tabelas. Ele explica que os bancos de dados de grafos são do tipo noSQL e index-free. Também fornece exemplos de uso de bancos de grafos e lista alguns produtos populares de bancos de grafos no mercado.

This presentation gives an overview on OrientDB and Neo4j. It also compares some specific querys, their speed and the overall functionality of both databases. The querys might not be optimized in both cases. At least they have the same outcome and are both written as querys. For sure in Neo4j you should do this in Java code. But that is way harder to write, so this presentation is more like a direkt comparision instead of really getting the best results. Also it's done with real data and at the end round about 200 GB of data.

The document provides an overview of different NoSQL database types, including key-value stores, document databases, column-oriented databases, graph databases, and caches. It discusses examples of databases for each type and common use cases. The document also covers querying graph databases, polyglot persistence using multiple database types, and concludes with when each database type is best suited and when not to use a NoSQL database.

Presented at JavaOne 2013, Tuesday September 24. "Data Modeling Patterns" co-created with Ian Robinson. "Pitfalls and Anti-Patterns" created by Ian Robinson.

This document provides an overview of tools available in the Java Development Kit (JDK) that allow for powerful introspection and manipulation of the Java Virtual Machine (JVM) and running applications. It discusses the java.lang.instrument API for injecting Java agents, the Java Debugging Interface (JDI) for debugging, the JVM Tool Interface (JVMTI) for heap and frame introspection, and examples of using these tools to build interactive debuggers, inject code at runtime, and test concurrency. Code samples and links to further resources are also provided.

The document provides an overview of the internal workings of Neo4j. It describes how the graph data is stored on disk as linked lists of fixed size records and how two levels of caching work - a low-level filesystem cache and a high-level object cache that stores node and relationship data in a structure optimized for traversals. It also explains how traversals are implemented using relationship expanders and evaluators to iteratively expand paths through the graph, and how Cypher builds on this but uses graph pattern matching rather than the full traversal system.

This document discusses different NoSQL database technologies for various application requirements. It describes graph databases like Neo4j, document databases like MongoDB, and column family databases like Cassandra. It then provides examples of using each for a blog system, Twitter clone, and social network. Graph databases are well-suited for the social network due to focusing on entity relationships. Document databases work well for the blog by embedding comments in blog posts. A column family database is a good fit for the Twitter clone to handle high write loads through denormalization across column families.

The document discusses models for concurrent programming. It summarizes common misconceptions about threads and concurrency, and outlines some of the core abstractions and tools available in Java for writing concurrent programs, including threads, monitors, volatile variables, java.util.concurrent classes like ConcurrentHashMap, and java.util.concurrent.locks classes like ReentrantLock. It also discusses some models not currently supported in Java like parallel arrays, transactional memory, actors, and Clojure's approach to concurrency using immutable data structures, refs, and atoms.

Graph databases are well suited for complex, interconnected data. Neo4j is a graph database that represents data as nodes connected by relationships. It allows for complex queries and traversals of graph structures. Unlike relational databases, graph databases can directly model real world networks and relationships without needing to flatten the data.

This document summarizes Tobias Ivarsson's work on developing a new "Advanced Compiler" for Jython. It provides an overview of the compiler project, performance figures comparing Jython and CPython on benchmark tests, discusses mismatches between Python and the JVM, and how performance is being improved. The new compiler adds analysis and intermediate representation steps to better represent Python code on the JVM. Benchmark results show initial Jython performance lagging CPython but improving with JIT warmup and continued compiler optimizations.

This document summarizes Tobias Ivarsson's presentation on the "Advanced Compiler" project for Jython. It discusses performance benchmarks that show Jython is currently slower than CPython. It also analyzes mismatches between Python and the JVM, such as late binding, call frames, and exception handling. However, it argues the new compiler provides an enabling platform for optimizations like call frame analysis, inline caching of builtins, and exception handler restructuring to improve performance. It concludes the project is not just about compilation but moving Jython forward to better leverage future JVMs.

Presentation from JavaOne 2009 on how Dynamic languages can be better suited for writing concurrent applications.

This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator. Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/ Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.

Stream processing is a crucial component of modern data infrastructure, but constructing an efficient and scalable stream processing system can be challenging. Decoupling compute and storage architecture has emerged as an effective solution to these challenges, but it can introduce high latency issues, especially when dealing with complex continuous queries that necessitate managing extra-large internal states. In this talk, we focus on addressing the high latency issues associated with S3 storage in stream processing systems that employ a decoupled compute and storage architecture. We delve into the root causes of latency in this context and explore various techniques to minimize the impact of S3 latency on stream processing performance. Our proposed approach is to implement a tiered storage mechanism that leverages a blend of high-performance and low-cost storage tiers to reduce data movement between the compute and storage layers while maintaining efficient processing. Throughout the talk, we will present experimental results that demonstrate the effectiveness of our approach in mitigating the impact of S3 latency on stream processing. By the end of the talk, attendees will have gained insights into how to optimize their stream processing systems for reduced latency and improved cost-efficiency.

This is a powerpoint that features Microsoft Teams Devices and everything that is new including updates to its software and devices for May 2024

Six months into 2024, and it is clear the privacy ecosystem takes no days off!! Regulators continue to implement and enforce new regulations, businesses strive to meet requirements, and technology advances like AI have privacy professionals scratching their heads about managing risk. What can we learn about the first six months of data privacy trends and events in 2024? How should this inform your privacy program management for the rest of the year? Join TrustArc, Goodwin, and Snyk privacy experts as they discuss the changes we’ve seen in the first half of 2024 and gain insight into the concrete, actionable steps you can take to up-level your privacy program in the second half of the year. This webinar will review: - Key changes to privacy regulations in 2024 - Key themes in privacy and data governance in 2024 - How to maximize your privacy program in the second half of 2024

An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)

Java Servlet programs

Invited Remote Lecture to SC21 The International Conference for High Performance Computing, Networking, Storage, and Analysis St. Louis, Missouri November 18, 2021

Manual Method of Product Research | Helium10 | MBS RETRIEVER

Your comprehensive guide to RPA in healthcare for 2024. Explore the benefits, use cases, and emerging trends of robotic process automation. Understand the challenges and prepare for the future of healthcare automation

Support en anglais diffusé lors de l'événement 100% IA organisé dans les locaux parisiens d'Iguane Solutions, le mardi 2 juillet 2024 : - Présentation de notre plateforme IA plug and play : ses fonctionnalités avancées, telles que son interface utilisateur intuitive, son copilot puissant et des outils de monitoring performants. - REX client : Cyril Janssens, CTO d’ easybourse, partage son expérience d’utilisation de notre plateforme IA plug & play.

CIO Council Cal Poly Humboldt September 22, 2023

Solar Storms (Geo Magnetic Storms) are the motion of accelerated charged particles in the solar environment with high velocities due to the coronal mass ejection (CME).