= Manage ontologies and use semantic data in SharePoint with GRASP =
GRASP ("Graph for SharePoint") is the SharePoint solution that introduces ontologies and semantic data into SharePoint. Ontologies are uploaded and managed directly in SharePoint. This fosters collaboration among ontologists and ensures preservation and compliance with the ECM-strategy of your company.
= SPARQL queries in SharePoint =
Ontologies are uploaded into an attached triple store (RDF store) directly from within SharePoint. With the standard query language SPARQL you can query them and, thus, retrieve their data. Additionally, any semantic data can be processed in SharePoint that is accessible via a SPARQL endpoint or triple store. SPARQL query results are available in SharePoint web parts and SharePoint lists in order to generate insights that are important for your SharePoint users and workflows.
=Applications with GRASP=
GRASP is optimized for companies that pursue a SharePoint-based strategy and that want to extend this strategy to cover their ontologies or that want to utilize semantic data to improve business processes. Typical industries are: Pharma, Insurance, Manufacturing.
*Central ontology life-cycle management in SharePoint.
*Controlled and standardized user-access, back-up and recovery strategies for ontologies.
*Semantic data from ontologies and SPARQL endpoints become accessible to SharePoint users and workflows (requires Triplestore basic, OpenLink Virtuoso or TopBraid)
DataEd Online: Data Architecture and Data Modeling Differences — Achieving a ...DATAVERSITY
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<p>Many can be confused when it comes to data topics. Architecture, models, data — it can seem a bit overwhelming. This program offers a clear explanation of Data Modeling and Data Architecture with a focus on the power of their interdependence. Both Data Architecture and data models are made more useful by each other. Data models are a primary means to achieve a shared understanding of specific data challenges. They are literally the pages that intersect data assets and the organizational response. Data models, as documentation, are the currency of data coordination, used to verify integration, and are mandated input to any data systems evolution. Ideally, Data Architecture is the sum of the organizational data models. However, coverage is rarely complete. Anytime you are talking about architecture, it is important to include the complementary role of engineered data models. Developing these models often incorporates both forward and reverse perspectives. Only when working in a coordinated manner, can organizations take steps to better understand what they have and what they need to accomplish by employing Data Modeling and Data Architecture.</p>
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<p>This program's learning objectives include:</p>
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<ul><li>Understanding the role played by models</li><li>Incorporating the interrelated concepts of architecture/engineering</li><li>What is taught: forward engineering with a goal of building</li><li>What is also needed: reverse engineering with a goal of understanding</li><li>How increasing coordination requirements increase design simplicity</li></ul>
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Selling MDM to Leadership: Defining the WhyProfisee
It's one of the hardest things to do prior to beginning an MDM initiative, but understanding why you need MDM from a business point of view is critical to ensure the success of the project.
Tekslate.com is the Industry leader in providing Informatica Data Quality Training across the globe. Our online training methodology focus on hands on experience of Informatica Data Quality.
DataEd Online: Data Architecture and Data Modeling Differences — Achieving a ...DATAVERSITY
<!-- wp:paragraph -->
<p>Many can be confused when it comes to data topics. Architecture, models, data — it can seem a bit overwhelming. This program offers a clear explanation of Data Modeling and Data Architecture with a focus on the power of their interdependence. Both Data Architecture and data models are made more useful by each other. Data models are a primary means to achieve a shared understanding of specific data challenges. They are literally the pages that intersect data assets and the organizational response. Data models, as documentation, are the currency of data coordination, used to verify integration, and are mandated input to any data systems evolution. Ideally, Data Architecture is the sum of the organizational data models. However, coverage is rarely complete. Anytime you are talking about architecture, it is important to include the complementary role of engineered data models. Developing these models often incorporates both forward and reverse perspectives. Only when working in a coordinated manner, can organizations take steps to better understand what they have and what they need to accomplish by employing Data Modeling and Data Architecture.</p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>This program's learning objectives include:</p>
<!-- /wp:paragraph -->
<!-- wp:list -->
<ul><li>Understanding the role played by models</li><li>Incorporating the interrelated concepts of architecture/engineering</li><li>What is taught: forward engineering with a goal of building</li><li>What is also needed: reverse engineering with a goal of understanding</li><li>How increasing coordination requirements increase design simplicity</li></ul>
<!-- /wp:list -->
Selling MDM to Leadership: Defining the WhyProfisee
It's one of the hardest things to do prior to beginning an MDM initiative, but understanding why you need MDM from a business point of view is critical to ensure the success of the project.
Tekslate.com is the Industry leader in providing Informatica Data Quality Training across the globe. Our online training methodology focus on hands on experience of Informatica Data Quality.
Compiladores são programas que realizam a tradução de um código fonte escrito em uma linguagem para um programa equivalente em outra linguagem (linguagem objeto). Um compilador pode ser dividido em duas etapas: Análise, também chamada de front end, composta pelas análises léxica, sintática e semântica e pela geração de código intermediário; e Síntese (back end), composta pela geração do código objeto. No front end podem ocorrer diferentes tipos de erros e, para cada um desses, existem técnicas adequadas para sua recuperação. Neste seminário, será abordada uma técnica de recuperação de erros sintáticos chamada de modalidade do desespero ou modo pânico.
Data Governance Best Practices, Assessments, and RoadmapsDATAVERSITY
When starting or evaluating the present state of your Data Governance program, it is important to focus on best practices such that you don’t take a ready, fire, aim approach. Best practices need to be practical and doable to be selected for your organization, and the program must be at risk if the best practice is not achieved.
Join Bob Seiner for an important webinar focused on industry best practice around standing up formal Data Governance. Learn how to assess your organization against the practices and deliver an effective roadmap based on the results of conducting the assessment.
In this webinar, Bob will focus on:
- Criteria to select the appropriate best practices for your organization
- How to define the best practices for ultimate impact
- Assessing against selected best practices
- Focusing the recommendations on program success
- Delivering a roadmap for your Data Governance program
Creating an Effective MDM Strategy for SalesforcePerficient, Inc.
As Salesforce has grown from a simple, standalone tool to a platform that touches every customer interaction, the data has grown more complex. This problem happens for many reasons including user error, adding other cloud apps requiring data integration, and business mergers and acquisitions that create multiple instances of Salesforce within an organization.
A master data management (MDM) strategy is critical to helping companies solve challenges like providing enterprise analytics and creating a 360-degree view of the customer. With Informatica Cloud, companies are learning to address the challenges and explore alternatives including a cost-effective cloud MDM versus a full-blown MDM solution.
During this webinar, our experts demonstrated the Informatica cloud MDM solution in action and showed how with an effective strategy, you can:
-Support the business case for MDM consolidation of multiple instances
-Create a customer 360-degree view in the cloud
-Understand the use case, reference architecture, and why companies are choosing cloud-based MDM
DI&A Slides: Data Lake vs. Data WarehouseDATAVERSITY
Modern data analysis is moving beyond the Data Warehouse to the Data Lake where analysts are able to take advantage of emerging technologies to manage complex analytics on large data volumes and diverse data types. Yet, for some business problems, a Data Warehouse may still be the right solution.
If you’re on the fence, join this webinar as we compare and contrast Data Lakes and Data Warehouses, identifying situations where one approach may be better than the other and highlighting how the two can work together.
Get tips, takeaways and best practices about:
- The benefits and problems of a Data Warehouse
- How a Data Lake can solve the problems of a Data Warehouse
- Data Lake Architecture
- How Data Warehouses and Data Lakes can work together
Common Service and Common Data Model by Henry McCallumKTL Solutions
These are two topics that are most interesting, but many people don’t know about them. The Common Data Service (CMS) is confusing for many, and honestly, a more technical approach that Microsoft was reluctant about publishing at first. It’s a hidden gem. The CMS allows you to securely store and manage data within a set of standard and custom entities. After your data is stored, you would then have the ability to do much more with your data such as customize entities, leverage productivity, and secure your data. It’s the middle factor between foundation, customer service, sales, purchasing, and people. Flow is Microsoft’s long promised cross platform workflow engine. Join us as Henry dives into how these two connector tools showcase Microsoft’s solutions and can help synchronize your day to day activities.
Data Warehouse or Data Lake, Which Do I Choose?DATAVERSITY
Today’s data-driven companies have a choice to make – where do we store our data? As the move to the cloud continues to be a driving factor, the choice becomes either the data warehouse (Snowflake et al) or the data lake (AWS S3 et al). There are pro’s and con’s for each approach. While the data warehouse will give you strong data management with analytics, they don’t do well with semi-structured and unstructured data with tightly coupled storage and compute, not to mention expensive vendor lock-in. On the other hand, data lakes allow you to store all kinds of data and are extremely affordable, but they’re only meant for storage and by themselves provide no direct value to an organization.
Enter the Open Data Lakehouse, the next evolution of the data stack that gives you the openness and flexibility of the data lake with the key aspects of the data warehouse like management and transaction support.
In this webinar, you’ll hear from Ali LeClerc who will discuss the data landscape and why many companies are moving to an open data lakehouse. Ali will share more perspective on how you should think about what fits best based on your use case and workloads, and how some real world customers are using Presto, a SQL query engine, to bring analytics to the data lakehouse.
Oracle Data Integrator 12c - Getting StartedMichael Rainey
I think it’s time for a fresh look at Oracle Data Integrator 12c. What is ODI? How has it evolved over the years and where is it going? And, of course, how do you get started with Oracle Data Integrator? I plan to share what I love about ODI, how to get started building your first ODI project, and what makes Oracle Data Integrator 12c the premier ETL and data warehousing tool on the market. It’s time to get back to the basics!
Presented at UTOUG Training Days 2017.
Enabling a Data Mesh Architecture with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3rwWhyv
The Data Mesh architectural design was first proposed in 2019 by Zhamak Dehghani, principal technology consultant at Thoughtworks, a technology company that is closely associated with the development of distributed agile methodology. A data mesh is a distributed, de-centralized data infrastructure in which multiple autonomous domains manage and expose their own data, called “data products,” to the rest of the organization.
Organizations leverage data mesh architecture when they experience shortcomings in highly centralized architectures, such as the lack domain-specific expertise in data teams, the inflexibility of centralized data repositories in meeting the specific needs of different departments within large organizations, and the slow nature of centralized data infrastructures in provisioning data and responding to changes.
In this session, Pablo Alvarez, Global Director of Product Management at Denodo, explains how data virtualization is your best bet for implementing an effective data mesh architecture.
You will learn:
- How data mesh architecture not only enables better performance and agility, but also self-service data access
- The requirements for “data products” in the data mesh world, and how data virtualization supports them
- How data virtualization enables domains in a data mesh to be truly autonomous
- Why a data lake is not automatically a data mesh
- How to implement a simple, functional data mesh architecture using data virtualization
Dynamic Column Masking and Row-Level Filtering in HDPHortonworks
As enterprises around the world bring more of their sensitive data into Hadoop data lakes, balancing the need for democratization of access to data without sacrificing strong security principles becomes paramount. In this webinar, Srikanth Venkat, director of product management for security & governance will demonstrate two new data protection capabilities in Apache Ranger – dynamic column masking and row level filtering of data stored in Apache Hive. These features have been introduced as part of HDP 2.5 platform release.
Compiladores são programas que realizam a tradução de um código fonte escrito em uma linguagem para um programa equivalente em outra linguagem (linguagem objeto). Um compilador pode ser dividido em duas etapas: Análise, também chamada de front end, composta pelas análises léxica, sintática e semântica e pela geração de código intermediário; e Síntese (back end), composta pela geração do código objeto. No front end podem ocorrer diferentes tipos de erros e, para cada um desses, existem técnicas adequadas para sua recuperação. Neste seminário, será abordada uma técnica de recuperação de erros sintáticos chamada de modalidade do desespero ou modo pânico.
Data Governance Best Practices, Assessments, and RoadmapsDATAVERSITY
When starting or evaluating the present state of your Data Governance program, it is important to focus on best practices such that you don’t take a ready, fire, aim approach. Best practices need to be practical and doable to be selected for your organization, and the program must be at risk if the best practice is not achieved.
Join Bob Seiner for an important webinar focused on industry best practice around standing up formal Data Governance. Learn how to assess your organization against the practices and deliver an effective roadmap based on the results of conducting the assessment.
In this webinar, Bob will focus on:
- Criteria to select the appropriate best practices for your organization
- How to define the best practices for ultimate impact
- Assessing against selected best practices
- Focusing the recommendations on program success
- Delivering a roadmap for your Data Governance program
Creating an Effective MDM Strategy for SalesforcePerficient, Inc.
As Salesforce has grown from a simple, standalone tool to a platform that touches every customer interaction, the data has grown more complex. This problem happens for many reasons including user error, adding other cloud apps requiring data integration, and business mergers and acquisitions that create multiple instances of Salesforce within an organization.
A master data management (MDM) strategy is critical to helping companies solve challenges like providing enterprise analytics and creating a 360-degree view of the customer. With Informatica Cloud, companies are learning to address the challenges and explore alternatives including a cost-effective cloud MDM versus a full-blown MDM solution.
During this webinar, our experts demonstrated the Informatica cloud MDM solution in action and showed how with an effective strategy, you can:
-Support the business case for MDM consolidation of multiple instances
-Create a customer 360-degree view in the cloud
-Understand the use case, reference architecture, and why companies are choosing cloud-based MDM
DI&A Slides: Data Lake vs. Data WarehouseDATAVERSITY
Modern data analysis is moving beyond the Data Warehouse to the Data Lake where analysts are able to take advantage of emerging technologies to manage complex analytics on large data volumes and diverse data types. Yet, for some business problems, a Data Warehouse may still be the right solution.
If you’re on the fence, join this webinar as we compare and contrast Data Lakes and Data Warehouses, identifying situations where one approach may be better than the other and highlighting how the two can work together.
Get tips, takeaways and best practices about:
- The benefits and problems of a Data Warehouse
- How a Data Lake can solve the problems of a Data Warehouse
- Data Lake Architecture
- How Data Warehouses and Data Lakes can work together
Common Service and Common Data Model by Henry McCallumKTL Solutions
These are two topics that are most interesting, but many people don’t know about them. The Common Data Service (CMS) is confusing for many, and honestly, a more technical approach that Microsoft was reluctant about publishing at first. It’s a hidden gem. The CMS allows you to securely store and manage data within a set of standard and custom entities. After your data is stored, you would then have the ability to do much more with your data such as customize entities, leverage productivity, and secure your data. It’s the middle factor between foundation, customer service, sales, purchasing, and people. Flow is Microsoft’s long promised cross platform workflow engine. Join us as Henry dives into how these two connector tools showcase Microsoft’s solutions and can help synchronize your day to day activities.
Data Warehouse or Data Lake, Which Do I Choose?DATAVERSITY
Today’s data-driven companies have a choice to make – where do we store our data? As the move to the cloud continues to be a driving factor, the choice becomes either the data warehouse (Snowflake et al) or the data lake (AWS S3 et al). There are pro’s and con’s for each approach. While the data warehouse will give you strong data management with analytics, they don’t do well with semi-structured and unstructured data with tightly coupled storage and compute, not to mention expensive vendor lock-in. On the other hand, data lakes allow you to store all kinds of data and are extremely affordable, but they’re only meant for storage and by themselves provide no direct value to an organization.
Enter the Open Data Lakehouse, the next evolution of the data stack that gives you the openness and flexibility of the data lake with the key aspects of the data warehouse like management and transaction support.
In this webinar, you’ll hear from Ali LeClerc who will discuss the data landscape and why many companies are moving to an open data lakehouse. Ali will share more perspective on how you should think about what fits best based on your use case and workloads, and how some real world customers are using Presto, a SQL query engine, to bring analytics to the data lakehouse.
Oracle Data Integrator 12c - Getting StartedMichael Rainey
I think it’s time for a fresh look at Oracle Data Integrator 12c. What is ODI? How has it evolved over the years and where is it going? And, of course, how do you get started with Oracle Data Integrator? I plan to share what I love about ODI, how to get started building your first ODI project, and what makes Oracle Data Integrator 12c the premier ETL and data warehousing tool on the market. It’s time to get back to the basics!
Presented at UTOUG Training Days 2017.
Enabling a Data Mesh Architecture with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3rwWhyv
The Data Mesh architectural design was first proposed in 2019 by Zhamak Dehghani, principal technology consultant at Thoughtworks, a technology company that is closely associated with the development of distributed agile methodology. A data mesh is a distributed, de-centralized data infrastructure in which multiple autonomous domains manage and expose their own data, called “data products,” to the rest of the organization.
Organizations leverage data mesh architecture when they experience shortcomings in highly centralized architectures, such as the lack domain-specific expertise in data teams, the inflexibility of centralized data repositories in meeting the specific needs of different departments within large organizations, and the slow nature of centralized data infrastructures in provisioning data and responding to changes.
In this session, Pablo Alvarez, Global Director of Product Management at Denodo, explains how data virtualization is your best bet for implementing an effective data mesh architecture.
You will learn:
- How data mesh architecture not only enables better performance and agility, but also self-service data access
- The requirements for “data products” in the data mesh world, and how data virtualization supports them
- How data virtualization enables domains in a data mesh to be truly autonomous
- Why a data lake is not automatically a data mesh
- How to implement a simple, functional data mesh architecture using data virtualization
Dynamic Column Masking and Row-Level Filtering in HDPHortonworks
As enterprises around the world bring more of their sensitive data into Hadoop data lakes, balancing the need for democratization of access to data without sacrificing strong security principles becomes paramount. In this webinar, Srikanth Venkat, director of product management for security & governance will demonstrate two new data protection capabilities in Apache Ranger – dynamic column masking and row level filtering of data stored in Apache Hive. These features have been introduced as part of HDP 2.5 platform release.
Developer Cloud Service New Features
- Agile Dashboard : new reports
- Code Editor in cloud
- Build Software Template (독립된 VM)
- Build Pipeline (pipeline 구성 및 가시화)
- Builder 추가
OOW16 - Oracle Enterprise Manager 13c Cloud Control for Managing Oracle E-Bus...vasuballa
Oracle Application Management Suite for Oracle E-Business Suite delivers capabilities to facilitate management of Oracle E-Business Suite environments running in the Oracle Cloud and on-premises using a single pane of glass. Learn about key new features provided in the latest release available with Oracle Enterprise Manager 13c. Features covered include deploying patches and customization across all environments, comparing configurations between instances, provisioning a new instance to the Oracle Cloud, migrating an existing instance to the cloud, enforcing compliance standards, and automated cloning.
So you've just inherited several COBOL programs from a newly retired co-worker. These programs are huge, and you have only a slight idea what they do, or what they touch. How do you go about discovering how they work? This is where IBM Rational Developer for System Z (RDz) and IBM Rational Asset Analyzer (RAA) can help you understand what your source does, what it affects, and what risks are at play in changing those systems.
This was presented at the 2013 IBM Innovate Conference in Orlando, Florida.
Discover and Manage Oracle's Cloud Services @on-premise using Enterprise Manager, Oracle. Monitor and Manage private and public cloud DB services with a single pane of glass ( Enterprise Manager, Oracle).
Learn how to move, restore on-premise databases into Oracle cloud (and back).
GRASP ("Graph for SharePoint") is the SharePoint solution that brings professional terminology management to the SharePoint term store. You can import and update terminologies from external systems (in SKOS, TBX) that can be deployed into termstores. You can revise terminologies directly and collaboratively in SharePoint. You can create working copies of terminologies that are modified directly in SharePoint by your users before they take effect in the managed metadata. You can create complex models, e.g. medical terminologies, that include poly-hierarchies. Poly-hierarchies are considered in the SharePoint search. Regular users can browse terminologies outside the termstore manager in a convenient terminology browser.
SharePoint Synonym search- and entity extraction-dictionary are generated from the termstore.
GRASP is the term store management tool!
More info about GRASP: http://www.diqa-pm.de/en/Professional_terminology_management_in_SharePoint
More info about DIQA: http://www.diqa-pm.de/en/About_DIQA
Return on Investment:
GRASP is a standard product that requires no customization or project effort. It is deployed easily on your SharePoint farm and immediately reduces the time needed to build terminologies. Existing terminologies in Excel-sheets can be migrated with minimal effort.
Pentaho Big Data Analytics with Vertica and HadoopMark Kromer
Overview of the Pentaho Big Data Analytics Suite from the Pentaho + Vertica presentation at Big Data Techcon 2014 in Boston for the session called "The Ultimate Selfie | Picture Yourself with the Fastest Analytics on Hadoop with HP Vertica and Pentaho"
This presentation given during DITA-OT Conference at Munich 2016, shows how SAP has integrated the DITA Open Toolkit to create a large-scale production infrastructure able to build 60 000+ outputs daily for SAP product documentation.
OOW16 - Testing Oracle E-Business Suite Best Practices [CON6713]vasuballa
This session provides an overview of how the Oracle Quality Assurance team tests Oracle E-Business Suite. It covers the main areas that you should consider during functional testing, approaches for new feature and regression testing, how to reduce the test script generation and execution time, experiences on capturing and presenting metrics to showcase the ROI of the testing investment, leveraging automation for testing Oracle E-Business Suite applications, and more.
Similar to GRASP 1.1 - Ontologies and Semantic Data in SharePoint (20)
[DE]
Die DIQA Projektmanagement GmbH aus Karlsruhe wird der Baudirektion des Kanton Zürich ein Portal liefern, das den drei Ressorts Inventarisation, Dokumentation und Bauberatung die effiziente Bewirtschaftung der Daten und textuellen Beschreibungen zu ca. 5.700 historischen Bauten ermöglicht. Die neue Applikation soll in 2015 in Betrieb genommen werden.
[EN]
About 5700 historical monuments, like farm houses, mills, churches, bridges, or parks, are located in the Canton of Zurich. They are registered and supervised by the canton's Built Heritage service (Denkmalpflege Kanton Zürich). The department's staff includes architects, historians and archeologists who will be supported by the new information portal in their daily tasks. The portal will help to manage the register of monuments, to document the history and current condition of the included monuments, to develop rules for the protection and standards for their conservation and to inform monument owners and the general public.
DIQA Projektmanagement GmbH, Karlsruhe will develop this portal based on Semantic MediaWiki.
Knowlege Management is a complex undertaking that must meet special requirements and needs for each new project. Flexible platforms covering different aspects of this "knowledge sharing" goal are needed as the technological underpinning.
This talk presents two platforms and their individual features
* Semantic MediaWiki
* Microsoft SharePoint
Concrete examples from professional practice illustrate their strength and weaknesses.
----
KM ist ein komplexes Unterfangen, das in jedem Unternehmen spezielle Anforderungen und Bedürfnisse erfüllen muss. Um diese Aufgabe mit technischen Mitteln zu unterstützen, bedarf es flexibler Plattformen, die unterschiedlichste Aspekte dieses "Knowledge Sharing" abdecken können.
In diesem Vortrag werden zwei dieser Plattformen und ihre individuellen Möglichkeiten vorgestellt
* Semantic MediaWiki
* Microsoft SharePoint
und anhand von konkreten Beispielen aus der beruflichen Praxis illustriert.
The "SharePoint Findability" solution from DIQA provides reliable products and a proven method to find documents quicker and more efficiently. We employ Semantic Web technologies in order to actively guide users in the search process, to offer alternative search possibilities and to provide comprehensive ways to navigate in search hits.
In this slide deck:
* features
* walkthrough
* advantages over standard SharePoint search
DataWiki is a versatile semantic enterprise wiki that supports communities of knowledge workers to easily formalise their expert knowledge. The socially curated knowledge base is enriched with data from external enterprise databases and made available to the Wiki users (semantic data integration).
DataWiki is a standard product from DIQA (www.diqa-pm.com).
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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.
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!
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.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
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.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
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.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.