2012 09 GDG San Francisco Hackday at Parisoma

1) No século XVI, Portugal introduziu a cana-de-açúcar no Brasil e usou índios e escravos africanos para cultivá-la, gerando riqueza para poucos às custas de atrocidades e danos ambientais. 2) Na década de 1970, greves de metalúrgicos levaram a conquistas trabalhistas e ao crescimento da indústria automobilística, porém também a problemas como poluição urbana. 3) Em 2004, fiscais foram assassinados após investigarem trabalho escra

Interbiz International Private Ltd., is a leader in providing solutions across the gamut of HRMS solutions. Our products have been consistently serving our customer’s needs effectively for over 10 years. Over 600 clients across top 20 industry verticals have been using 247HRM (Our Human Resource Management Solution) modules to address their critical HRMS applications. We have consistently upgraded 247HRM to keep up with the evolving needs of our customers. Our focus and strength has been single point data entry that flows through our entire suite of applications thus ensuring integrity of data ,reduction of paperwork & reduction in time spent on day to day HR processes to help you focus on your core needs. Our senior management is intimately involved in development and brings their extensive domain knowledge to play in turning out world class HRMS solutions. We have responded to our customer’s needs swiftly and reliably over the years we have been in business.

The document discusses making science more reproducible through provenance. It introduces the W3C PROV standard for representing provenance which describes entities, activities, and agents. Python libraries like prov can be used to capture provenance which can be stored in graph databases like Neo4j that are suitable for provenance graphs. Capturing provenance allows researchers to understand the origins and process that led to results and to verify or reproduce scientific findings.

Launched in 2009, Cisco’s Hierarchy Management Platform aimed at consolidating and improving master data management by creating a one-stop shop for Enterprise hierarchies. Fast forward seven years and the mission has expanded to something even more intriguing: utilizing cross-hierarchy relationships to simplify and automate Cisco’s functional processes. Enabled by Neo4j, these relationships (and graphical visualizations of these relationships) are fundamentally changing how Cisco conducts operations globally. This discussion is intended for technical and non-technical audiences, focusing primarily on Enterprise hierarchy strategy, hierarchy data capabilities, and unlocking actionable business insights.

Neo4j GraphTalks event on November 2016 included: 1) An introduction to graph databases and Neo4j by Bruno Ungermann from Neo4j. 2) Darko Krizic from PRODYNA AG presenting their experience implementing a global knowledge hub for product information using Neo4j. 3) An open networking session.

This document discusses data processing flows and the value of relationships in graph databases. It provides examples of how a graph database was used to process over 3 million files from a large data leak in just 1.5 weeks using Amazon instances. The document also lists several uses for graph databases, including fraud detection and identity access management.

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Dr. Andreas Weber Semantic PDM Neo4j

This document provides an introduction to NoSQL and Neo4j. It discusses how Neo4j is a graph database that is well-suited for storing connected data. It then demonstrates how to query the graph database using the Cypher query language, which uses a declarative pattern matching approach. Examples of real-world uses of Neo4j by companies are also presented to illustrate how it has been adopted for applications such as social networking, fraud detection, and knowledge graphs.

This is the presentation given by Michael Hunger and Peter Neubauer at the SF Data Mining group, see http://www.meetup.com/Data-Mining/events/80275492/

Given by Peter Neubuaer at OSON 2012: You know the drill – prototype, code, test, docs. The last part of the chain is either omitted or will rot in Wikis and manuals. At Neo4j, we made the painful switch from wiki-hell to a totally code – backed manual that is driven by unit tests, a documentation toolchain and part of our build artifacts. Graph images, code snippets, live REST calls and everything. And still not getting in the way of the developers. We are now writing test code that is fit for publishing as blog links to parts of the manual. And developers are looking at the manual to see if the tests make sense. Want that? Hell yeah

This presentation was introducing neo4j at http://www.meetup.com/PolyglotVancouver/events/68860272/, covering both Neo4j and some of the Manual toolchain powering docs.neo4j.org for the project (the manual source can be found at http://github.com/neo4j/manual ).

This is a presentation given at http://nosql-matters.org 2012 and at the JUG in Toulouse and Bordeaux. The links are referring to the great introduction to Cypher by Max De Marci, http://www.slideshare.net/maxdemarzi/cypher-12154713 and the Neo4j online Cypher Cookbook section, http://docs.neo4j.org/chunked/snapshot/cypher-cookbook.html

The document discusses building a developer community with limited resources. It describes Neo4j's experience creating a community through programs that support contributors, respond to issues, onboard new members, engage the core team, raise mindshare, and provide infrastructure. It also outlines Neo4j's documentation toolchain and lessons learned over time like empowering others to produce content and listening to all feedback channels.

This talk covers a basic intro of graphs, NOSQL and graph databases, followed b a number of domain examples and case studies, and a section on how graph databases can be interesting in the domain of insurance companies.

The document discusses Peter Neubauer's journey from founding Neo Technology in Sweden to growing it into a successful startup. It provides tips for startup life such as embracing change, persistence over the long term, focusing on users and community, and being prepared to pivot plans. The document also discusses using lean startup principles like building minimum viable products and getting early customer feedback to test ideas. Overall it presents lessons learned from growing Neo Technology from a small startup to a larger established company.

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!

The document appears to be discussing graph databases and Neo4j. It provides examples of modeling data as nodes and relationships in Neo4j and writing Cypher queries to retrieve and update data in the graph.

Neo4j is a Java-based graph database that is embeddable, ACID compliant, and has been in operation since 2003. It uses an indexing framework and supports high availability clustering. The document provides code examples for creating nodes and relationships in Neo4j and traversing the graph to find connections between nodes. It also discusses several potential applications of Neo4j, including network management, master data management, social networks, and fraud detection.

In the Telecommunications sector, there are a lot of complex data sets and problems that are well suited for graph models and the use of graph databases like Neo4j. This talk gives just some ideas on where Neo4j currently is used within the TelCo sector. If you recognize problem areas that you have, don't hesitate to contact me at peter at neotechnology dot com, we are eager to learn more and help!

Neo4j Spatial provides spatial/GIS capabilities for Neo4j, allowing it to store and query geospatial data. It aims to make GIS more accessible and allow for complex spatial mapping and analytics by connecting location data to other domain data stored in the graph. Features include support for OpenStreetMap data, dynamic layers, and topological queries and persistence of spatial relationships directly in the graph.

This document discusses graph databases and provides examples of how the Neo4j graph database can be used. It shows how Neo4j supports social, spatial, financial and other types of connected data. It also summarizes Neo4j's REST API, support for object-oriented programming, routing algorithms, multiple indexes, recommendation systems, and other use cases. The document advocates for graph databases for any problem involving multiple relationships and connections between entities.

Graph databases are a type of NoSQL database that uses nodes and relationships to represent and store data. Nodes can have properties and be connected to other nodes via relationships. This allows for complex queries of connected data. Neo4j is an example of a graph database that uses these concepts to store and query data. Code examples are shown for how to programmatically create nodes and relationships in Neo4j and traverse the graph to find connected nodes.

These fighter aircraft have uses outside of traditional combat situations. They are essential in defending India's territorial integrity, averting dangers, and delivering aid to those in need during natural calamities. Additionally, the IAF improves its interoperability and fortifies international military alliances by working together and conducting joint exercises with other air forces.

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

How do we build an IoT product, and make it profitable? Talk from the IoT meetup in March 2024. https://www.meetup.com/iot-sweden/events/299487375/

Presented at Gartner Data & Analytics, London Maty 2024. 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. Join this session to hear their story, the lessons they learned along the way and how their future innovation plans include the exploration of uses of EKG + Generative AI.

This presentation, delivered at the Postgres Bangalore (PGBLR) Meetup-2 on June 29th, 2024, dives deep into connection pooling for PostgreSQL databases. Aakash M, a PostgreSQL Tech Lead at Mydbops, explores the challenges of managing numerous connections and explains how connection pooling optimizes performance and resource utilization. Key Takeaways: * Understand why connection pooling is essential for high-traffic applications * Explore various connection poolers available for PostgreSQL, including pgbouncer * Learn the configuration options and functionalities of pgbouncer * Discover best practices for monitoring and troubleshooting connection pooling setups * Gain insights into real-world use cases and considerations for production environments This presentation is ideal for: * Database administrators (DBAs) * Developers working with PostgreSQL * DevOps engineers * Anyone interested in optimizing PostgreSQL performance Contact info@mydbops.com for PostgreSQL Managed, Consulting and Remote DBA Services

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

The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries: 1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes. 2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions. 3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines. 4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors. 5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering. 6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands. 7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems. 8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering. 9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively. Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.

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Recent advancements in the NIST-JARVIS infrastructure: JARVIS-Overview, JARVIS-DFT, AtomGPT, ALIGNN, JARVIS-Leaderboard

Manual Method of Product Research | Helium10 | MBS RETRIEVER

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)

Kief Morris rethinks the infrastructure code delivery lifecycle, advocating for a shift towards composable infrastructure systems. We should shift to designing around deployable components rather than code modules, use more useful levels of abstraction, and drive design and deployment from applications rather than bottom-up, monolithic architecture and delivery.

Slide of the tutorial entitled "Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends" held at UMAP'24: 32nd ACM Conference on User Modeling, Adaptation and Personalization (July 1, 2024 | Cagliari, Italy)

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.

Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.

Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment. How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.

The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2023 and the first deals of 2024.

Quantum Communications Q&A with Gemini LLM. These are based on Shannon's Noisy channel Theorem and offers how the classical theory applies to the quantum world.

Cybersecurity is a major concern in today's connected digital world. Threats to organizations are constantly evolving and have the potential to compromise sensitive information, disrupt operations, and lead to significant financial losses. Traditional cybersecurity techniques often fall short against modern attackers. Therefore, advanced techniques for cyber security analysis and anomaly detection are essential for protecting digital assets. This blog explores these cutting-edge methods, providing a comprehensive overview of their application and importance.

Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality. Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality. Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality. Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank? ** Episode Overview ** In this first episode of our quality series, Kristen Hansen and the panel discuss: ⦿ What do we mean when we say patent quality? ⦿ Why is patent quality important? ⦿ How to balance quality and budget ⦿ The importance of searching, continuations, and draftsperson domain expertise ⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications https://www.aurorapatents.com/patently-strategic-podcast.html