Model-Driven Development of Semantic Mashup Applications with the Open-Source...InfoGrid.org
Talk at Enterprise Data World 2010 in San Francisco.
Outlines the difficulties in developing enterprise mash-up applications that aggregate data semantically and in real time. Gives an overview how the InfoGrid internet graph database can help.
Building a Graph-based Analytics PlatformKenny Bastani
Meetup is a valuable source of data for understanding trends around products or brands. Meetup does not support an analytics package to track group statistics overtime unless you are an administrator of a group. There are no third-party tools or websites that analyze Meetup trends to understand how communities grow.
In this talk I will present a graph-based analytics platform that uses the Meetup.com API to collect and analyze membership statistics over time.
This talk will cover:
How to poll and import periodic data from the Meetup.com API into Neo4j using Node.js.
How to track meetup group growth over time using a Neo4j graph database using Node.js.
How to apply tags to meetup groups and report combined growth of all groups over time.
How to build an interactive documented analytics API to support applications using Node.js and Neo4j.
How to build a business dashboard to visualize time-based statistics and reports using a Node.js based REST API that queries Neo4j.
The Neo4j Graph database was lacking a declarative query language.
We wanted to add a humane query language which is easy to read and understand. It borrows on other languages like SQL and SPARQL but brings it it's own flavor. Cypher uses ASCII ART to describe graph patterns that you're looking for.
We used Scala's parser combinator library in combination with functional approaches and lazy evaluation to develop the Cypher query language.
The talk describes the internals of the Cypher implementation.
The openCypher Project - An Open Graph Query LanguageNeo4j
We want to present the openCypher project, whose purpose is to make Cypher available to everyone – every data store, every tooling provider, every application developer. openCypher is a continual work in progress. Over the next few months, we will move more and more of the language artifacts over to GitHub to make it available for everyone.
openCypher is an open source project that delivers four key artifacts released under a permissive license: (i) the Cypher reference documentation, (ii) a Technology compatibility kit (TCK), (iii) Reference implementation (a fully functional implementation of key parts of the stack needed to support Cypher inside a data platform or tool) and (iv) the Cypher language specification.
We are also seeking to make the process of specifying and evolving the Cypher query language as open as possible, and are actively seeking comments and suggestions on how to improve the Cypher query language.
The purpose of this talk is to provide more details regarding the above-mentioned aspects.
We want to present the openCypher project, whose purpose is to make Cypher available to everyone – every data store, every tooling provider, every application developer. openCypher is a continual work in progress. Over the next few months, we will move more and more of the language artifacts over to GitHub to make it available for everyone.
openCypher is an open source project that delivers four key artifacts released under a permissive license: (i) the Cypher reference documentation, (ii) a Technology compatibility kit (TCK), (iii) Reference implementation (a fully functional implementation of key parts of the stack needed to support Cypher inside a data platform or tool) and (iv) the Cypher language specification.
We are also seeking to make the process of specifying and evolving the Cypher query language as open as possible, and are actively seeking comments and suggestions on how to improve the Cypher query language.
The purpose of this talk is to provide more details regarding the above-mentioned aspects.
Metadata and the Power of Pattern-FindingDATAVERSITY
According to Gartner, “through 2018, 80 percent of data lakes will not include effective metadata management capabilities, making them inefficient.” Tools within the Apache Spark ecosystem, such as SparkSQL, MlLib, and GraphX, are making ingesting, transforming, and querying data easier, but a missing link remains.
In order to harness the power of pattern-finding to discover unknown insights from the relationships between your historical Big Data and streaming Fast Data, a mature, proven metadata repository must be at the center of your organization’s data architecture.
In this webinar, Leon Guzenda, Chief Technical Marketing Officer at Objectivity, will discuss how to use metadata to not just follow paths, but also patterns, including more efficient shipping routes, recommendation engines, or ways to catch money laundering and other types of financial fraud. It will discuss the pros and cons of open source tools and how to leverage them with a metadata repository to reach the true potential of real-time relationship discovery.
MongoGraph - MongoDB Meets the Semantic WebDATAVERSITY
AllegroGraph is a fully ACID and highly scalable RDF triplestore that can be programmed with compiled, server side JavaScript. This allows programmers to easily manipulate individual triples and create their own intelligent graph or reasoning algorithms. However, one wish that has been expressed by many programmers is to work on the level of objects instead of individual triples, where an object would be defined as all the triples with the same subject. So we created a MongoDB interface where programmers can add, delete and modify JSON objects directly into MongoDB like substores. This gives us the best of both worlds. We get the beautiful simplicity of the MongoDB interface for working with objects and we get the all the properties of an advanced triplestore, in this case joins through SPARQL queries, automatic indexing of all attributes/values, ACID properties all packaged to deliver a simple entry into the world of the Semantic Web.
Model-Driven Development of Semantic Mashup Applications with the Open-Source...InfoGrid.org
Talk at Enterprise Data World 2010 in San Francisco.
Outlines the difficulties in developing enterprise mash-up applications that aggregate data semantically and in real time. Gives an overview how the InfoGrid internet graph database can help.
Building a Graph-based Analytics PlatformKenny Bastani
Meetup is a valuable source of data for understanding trends around products or brands. Meetup does not support an analytics package to track group statistics overtime unless you are an administrator of a group. There are no third-party tools or websites that analyze Meetup trends to understand how communities grow.
In this talk I will present a graph-based analytics platform that uses the Meetup.com API to collect and analyze membership statistics over time.
This talk will cover:
How to poll and import periodic data from the Meetup.com API into Neo4j using Node.js.
How to track meetup group growth over time using a Neo4j graph database using Node.js.
How to apply tags to meetup groups and report combined growth of all groups over time.
How to build an interactive documented analytics API to support applications using Node.js and Neo4j.
How to build a business dashboard to visualize time-based statistics and reports using a Node.js based REST API that queries Neo4j.
The Neo4j Graph database was lacking a declarative query language.
We wanted to add a humane query language which is easy to read and understand. It borrows on other languages like SQL and SPARQL but brings it it's own flavor. Cypher uses ASCII ART to describe graph patterns that you're looking for.
We used Scala's parser combinator library in combination with functional approaches and lazy evaluation to develop the Cypher query language.
The talk describes the internals of the Cypher implementation.
The openCypher Project - An Open Graph Query LanguageNeo4j
We want to present the openCypher project, whose purpose is to make Cypher available to everyone – every data store, every tooling provider, every application developer. openCypher is a continual work in progress. Over the next few months, we will move more and more of the language artifacts over to GitHub to make it available for everyone.
openCypher is an open source project that delivers four key artifacts released under a permissive license: (i) the Cypher reference documentation, (ii) a Technology compatibility kit (TCK), (iii) Reference implementation (a fully functional implementation of key parts of the stack needed to support Cypher inside a data platform or tool) and (iv) the Cypher language specification.
We are also seeking to make the process of specifying and evolving the Cypher query language as open as possible, and are actively seeking comments and suggestions on how to improve the Cypher query language.
The purpose of this talk is to provide more details regarding the above-mentioned aspects.
We want to present the openCypher project, whose purpose is to make Cypher available to everyone – every data store, every tooling provider, every application developer. openCypher is a continual work in progress. Over the next few months, we will move more and more of the language artifacts over to GitHub to make it available for everyone.
openCypher is an open source project that delivers four key artifacts released under a permissive license: (i) the Cypher reference documentation, (ii) a Technology compatibility kit (TCK), (iii) Reference implementation (a fully functional implementation of key parts of the stack needed to support Cypher inside a data platform or tool) and (iv) the Cypher language specification.
We are also seeking to make the process of specifying and evolving the Cypher query language as open as possible, and are actively seeking comments and suggestions on how to improve the Cypher query language.
The purpose of this talk is to provide more details regarding the above-mentioned aspects.
Metadata and the Power of Pattern-FindingDATAVERSITY
According to Gartner, “through 2018, 80 percent of data lakes will not include effective metadata management capabilities, making them inefficient.” Tools within the Apache Spark ecosystem, such as SparkSQL, MlLib, and GraphX, are making ingesting, transforming, and querying data easier, but a missing link remains.
In order to harness the power of pattern-finding to discover unknown insights from the relationships between your historical Big Data and streaming Fast Data, a mature, proven metadata repository must be at the center of your organization’s data architecture.
In this webinar, Leon Guzenda, Chief Technical Marketing Officer at Objectivity, will discuss how to use metadata to not just follow paths, but also patterns, including more efficient shipping routes, recommendation engines, or ways to catch money laundering and other types of financial fraud. It will discuss the pros and cons of open source tools and how to leverage them with a metadata repository to reach the true potential of real-time relationship discovery.
MongoGraph - MongoDB Meets the Semantic WebDATAVERSITY
AllegroGraph is a fully ACID and highly scalable RDF triplestore that can be programmed with compiled, server side JavaScript. This allows programmers to easily manipulate individual triples and create their own intelligent graph or reasoning algorithms. However, one wish that has been expressed by many programmers is to work on the level of objects instead of individual triples, where an object would be defined as all the triples with the same subject. So we created a MongoDB interface where programmers can add, delete and modify JSON objects directly into MongoDB like substores. This gives us the best of both worlds. We get the beautiful simplicity of the MongoDB interface for working with objects and we get the all the properties of an advanced triplestore, in this case joins through SPARQL queries, automatic indexing of all attributes/values, ACID properties all packaged to deliver a simple entry into the world of the Semantic Web.
Graphs are a perfect solution to organize information and to determine the relatedness of content. Neo4j Developer Evangelist Kenny Bastani will discuss using Neo4j to perform document classification and text classification using a graph database. Kenny will demonstrate how to build a scalable architecture for classifying natural language text using a graph-based algorithm called Hierarchical Pattern Recognition. This approach encompasses a set of techniques familiar to Deep Learning practitioners.
The trend nowadays is to represent the relationships between entities in a graph structure. Neo4j is a NOSQL graph database, which allows for fast and effective queries on connected data. Implementation of own algorithms is possible, which can improve the functionality of built in API. We make use of the graph database to model and recommend movies and other media content.
This tutorial will provide you with a basic understanding of graph database technology and the ability to quickly begin development of a graph database application. You will have the capability to recognize graph-based problems and present the benefits of using graph technology for problem resolution.
The tutorial will give you an understanding of:
• Graph theory - origins and concepts
• Benefits of graph databases
• Different types of graph databases
• Typical graph database API
• Programming basics
• Use cases
Bring your laptops for a hands-on opportunity to practice some sample codes. A basic understanding of Java programming is a recommended prerequisite to understand this course. This session is led by the InfiniteGraph technical team and the demonstration code will be drawn from InfiniteGraph examples, however the broader educational presentation is product-neutral and not a commercial presentation of their products.
To participate in the hands-on portion of the graph tutorial users must have:
• Java programming experience
• Java Developer Kit (JDK)
• Current InfiniteGraph installed on laptop. (To download visit www.objectivity.com/infinitegraph)
• HelloGraph test – Upon installing IG, run HelloGraph to test the install. (HelloGraph can be found online at http://wiki.infinitegraph.com/2.1/w/index.php?title=Download_Sample_Code)
Leon Guzenda was one of the founding members of Objectivity in 1988 and one of the original architects of Objectivity/DB. He currently works with Objectivity's major customers to help them effectively develop and deploy complex applications and systems that use the industry's highest-performing, most reliable DBMS technology, Objectivity/DB. He also liaises with technology partners and industry groups to help ensure that Objectivity/DB remains at the forefront of database and distributed computing technology. Leon has more than 35 years experience in the software industry. At Automation Technology Products, he managed the development of the ODBMS for the Cimplex solid modeling and numerical control system. Before that, he was Principal Project Director for International Computers Ltd. in the United Kingdom, delivering major projects for NATO and leading multinationals. He was also design and development manager for ICL's 2900 IDMS product. He spent the first 7 years of his career working in defense and government systems. Leon has a B.S. degree in Electronic Engineering from the University of Wales.
Natural Language Processing with Graph Databases and Neo4jWilliam Lyon
Originally presented at DataDay Texas in Austin, this presentation shows how a graph database such as Neo4j can be used for common natural language processing tasks, such as building a word adjacency graph, mining word associations, summarization and keyword extraction and content recommendation.
Recent natural language processing advancements have propelled search engine and information retrieval innovations into the public spotlight. People want to be able to interact with their devices in a natural way. In this talk I will be introducing you to natural language search using a Neo4j graph database. I will show you how to interact with an abstract graph data structure using natural language and how this approach is key to future innovations in the way we interact with our devices.
Importing Data into Neo4j quickly and easily - StackOverflowNeo4j
In this GraphConnect presentation Mark and Michael show several ways to import large amounts of highly connected data from different formats into Neo4j. Both Cypher's LOAD CSV as well as the bulk importer is demonstrated along with many tips.
We use the well know StackOverflow Q&A site data which is interestingly very graphy.
These webinar slides are an introduction to Neo4j and Graph Databases. They discuss the primary use cases for Graph Databases and the properties of Neo4j which make those use cases possible. They also cover the high-level steps of modeling, importing, and querying your data using Cypher and touch on RDBMS to Graph.
The Importance of MDM - Eternal Management of the Data MindDATAVERSITY
Despite its immaterial nature, data has a tendency to pile up as time goes on, and can quickly be rendered unusable or obsolete without careful maintenance and streamlining of processes for its management. This presentation will provide you with an understanding of reference and master data management (MDM), one such method for keeping mass amounts of business data organized and functional towards achieving business goals.
MDM’s guiding principles include the establishment and implementation of authoritative data sources and effective means of delivering data to various business processes, as well as increases to the quality of information used in organizational analytical functions (such as BI).
To that end, attendees of this webinar will learn how to:
- Structure their data management processes around these principles
- Incorporate data quality engineering into the planning of reference and MDM
- Understand why MDM is so critical to their organization’s overall data strategy
This presentation provides a brief overview on becoming a member of the Node.js Foundation. For more information, visit https://nodejs.org/en/foundation/members/.
Relational databases were conceived to digitize paper forms and automate well-structured business processes, and still have their uses. But RDBMS cannot model or store data and its relationships without complexity, which means performance degrades with the increasing number and levels of data relationships and data size. Additionally, new types of data and data relationships require schema redesign that increases time to market.
A native graph database like Neo4j naturally stores, manages, analyzes, and uses data within the context of connections meaning Neo4j provides faster query performance and vastly improved flexibility in handling complex hierarchies than SQL.
This webinar explains why companies are shifting away from RDBMS towards graphs to unlock the business value in their data relationships.
Squire: A polyglot application combining Neo4j, MongoDB, Ruby and Scala @ FOS...Alberto Perdomo
Squire is an app for iPad that provides suggestions of movies and TV shows, based on the user’s preferences. There are also some social features, for instance a user can suggest a movie or TV show to one of his/her contacts.
We have developed the backend and web services that support the Squire iPad app. The recommendations system was written in Scala and everything else was developed in Ruby. This architecture tries to combine the best features of the different languages. The Ruby API is easy to maintain, while the recommendations engine written in Scala and Neo4j is powerful, fast and able to handle heavy computations in a reasonable time.
Graphs are a perfect solution to organize information and to determine the relatedness of content. Neo4j Developer Evangelist Kenny Bastani will discuss using Neo4j to perform document classification and text classification using a graph database. Kenny will demonstrate how to build a scalable architecture for classifying natural language text using a graph-based algorithm called Hierarchical Pattern Recognition. This approach encompasses a set of techniques familiar to Deep Learning practitioners.
The trend nowadays is to represent the relationships between entities in a graph structure. Neo4j is a NOSQL graph database, which allows for fast and effective queries on connected data. Implementation of own algorithms is possible, which can improve the functionality of built in API. We make use of the graph database to model and recommend movies and other media content.
This tutorial will provide you with a basic understanding of graph database technology and the ability to quickly begin development of a graph database application. You will have the capability to recognize graph-based problems and present the benefits of using graph technology for problem resolution.
The tutorial will give you an understanding of:
• Graph theory - origins and concepts
• Benefits of graph databases
• Different types of graph databases
• Typical graph database API
• Programming basics
• Use cases
Bring your laptops for a hands-on opportunity to practice some sample codes. A basic understanding of Java programming is a recommended prerequisite to understand this course. This session is led by the InfiniteGraph technical team and the demonstration code will be drawn from InfiniteGraph examples, however the broader educational presentation is product-neutral and not a commercial presentation of their products.
To participate in the hands-on portion of the graph tutorial users must have:
• Java programming experience
• Java Developer Kit (JDK)
• Current InfiniteGraph installed on laptop. (To download visit www.objectivity.com/infinitegraph)
• HelloGraph test – Upon installing IG, run HelloGraph to test the install. (HelloGraph can be found online at http://wiki.infinitegraph.com/2.1/w/index.php?title=Download_Sample_Code)
Leon Guzenda was one of the founding members of Objectivity in 1988 and one of the original architects of Objectivity/DB. He currently works with Objectivity's major customers to help them effectively develop and deploy complex applications and systems that use the industry's highest-performing, most reliable DBMS technology, Objectivity/DB. He also liaises with technology partners and industry groups to help ensure that Objectivity/DB remains at the forefront of database and distributed computing technology. Leon has more than 35 years experience in the software industry. At Automation Technology Products, he managed the development of the ODBMS for the Cimplex solid modeling and numerical control system. Before that, he was Principal Project Director for International Computers Ltd. in the United Kingdom, delivering major projects for NATO and leading multinationals. He was also design and development manager for ICL's 2900 IDMS product. He spent the first 7 years of his career working in defense and government systems. Leon has a B.S. degree in Electronic Engineering from the University of Wales.
Natural Language Processing with Graph Databases and Neo4jWilliam Lyon
Originally presented at DataDay Texas in Austin, this presentation shows how a graph database such as Neo4j can be used for common natural language processing tasks, such as building a word adjacency graph, mining word associations, summarization and keyword extraction and content recommendation.
Recent natural language processing advancements have propelled search engine and information retrieval innovations into the public spotlight. People want to be able to interact with their devices in a natural way. In this talk I will be introducing you to natural language search using a Neo4j graph database. I will show you how to interact with an abstract graph data structure using natural language and how this approach is key to future innovations in the way we interact with our devices.
Importing Data into Neo4j quickly and easily - StackOverflowNeo4j
In this GraphConnect presentation Mark and Michael show several ways to import large amounts of highly connected data from different formats into Neo4j. Both Cypher's LOAD CSV as well as the bulk importer is demonstrated along with many tips.
We use the well know StackOverflow Q&A site data which is interestingly very graphy.
These webinar slides are an introduction to Neo4j and Graph Databases. They discuss the primary use cases for Graph Databases and the properties of Neo4j which make those use cases possible. They also cover the high-level steps of modeling, importing, and querying your data using Cypher and touch on RDBMS to Graph.
The Importance of MDM - Eternal Management of the Data MindDATAVERSITY
Despite its immaterial nature, data has a tendency to pile up as time goes on, and can quickly be rendered unusable or obsolete without careful maintenance and streamlining of processes for its management. This presentation will provide you with an understanding of reference and master data management (MDM), one such method for keeping mass amounts of business data organized and functional towards achieving business goals.
MDM’s guiding principles include the establishment and implementation of authoritative data sources and effective means of delivering data to various business processes, as well as increases to the quality of information used in organizational analytical functions (such as BI).
To that end, attendees of this webinar will learn how to:
- Structure their data management processes around these principles
- Incorporate data quality engineering into the planning of reference and MDM
- Understand why MDM is so critical to their organization’s overall data strategy
This presentation provides a brief overview on becoming a member of the Node.js Foundation. For more information, visit https://nodejs.org/en/foundation/members/.
Relational databases were conceived to digitize paper forms and automate well-structured business processes, and still have their uses. But RDBMS cannot model or store data and its relationships without complexity, which means performance degrades with the increasing number and levels of data relationships and data size. Additionally, new types of data and data relationships require schema redesign that increases time to market.
A native graph database like Neo4j naturally stores, manages, analyzes, and uses data within the context of connections meaning Neo4j provides faster query performance and vastly improved flexibility in handling complex hierarchies than SQL.
This webinar explains why companies are shifting away from RDBMS towards graphs to unlock the business value in their data relationships.
Squire: A polyglot application combining Neo4j, MongoDB, Ruby and Scala @ FOS...Alberto Perdomo
Squire is an app for iPad that provides suggestions of movies and TV shows, based on the user’s preferences. There are also some social features, for instance a user can suggest a movie or TV show to one of his/her contacts.
We have developed the backend and web services that support the Squire iPad app. The recommendations system was written in Scala and everything else was developed in Ruby. This architecture tries to combine the best features of the different languages. The Ruby API is easy to maintain, while the recommendations engine written in Scala and Neo4j is powerful, fast and able to handle heavy computations in a reasonable time.
Plugins de autenticación en Rails - Lightning talk Las Palmas On Rails 09/02/...Alberto Perdomo
En esta microcharla hablé sobre los distintos plugins de autenticación que hay disponibles para Rails, cada uno con sus peculiaridades, ventajas y desventajas. Al final de lo que se trata es escoger la herramienta más adecuada.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
16. alberto@graphenedb.com | @albertoperdomo
Property Graph
A
B
C
rated: 0.6
directed
Type: Cast Member
Name: George Lucas
Born_At: 1944-05-14
Type: Movie
Title: Star Wars Episode IV - A New Hope
Release: 1977
Type: User
Name: Adam
Age: 34
Country: USA
wrote
Example: IMDB
23. alberto@graphenedb.com | @albertoperdomo
Graph DB: Definition
๏Any system that provides index-free
adjacency[1]
๏Linear cost to retrieve adjacent nodes:
depends on the number of local neighbours
[1] http://www.slideshare.net/slidarko/problemsolving-using-graph-traversals-searching-scoring-ranking-and-recommendation
40. alberto@graphenedb.com | @albertoperdomo
Geospatial problems
๏Travelling Salesman
๏Route for delivery of parcels
๏Optimize route for duration, distance,
traffic flow, etc.
๏Must not be physical path, example:
connecting people