The document describes the Anaeko Data Agility Server (A-DAS), which addresses the challenge of consolidating access to multiple incompatible data sources. A-DAS enables unified views of disparate structured and unstructured data without changing the underlying sources. It uses a light-touch approach to integrate new sources easily and adapt flexibly to changes. A-DAS provides real-time, standardized access to data through RESTful interfaces for applications like data services, reporting, and master data management.
Microsoft® SQL Azure™ Database is a cloud-based relational database service built for Windows® Azure platform. It provides a highly available, scalable, multi-tenant database service hosted by Microsoft in the cloud. SQL Azure Database enables easy provisioning and deployment of multiple databases. Developers do not have to install, setup, patch or manage any software. High Availability and fault tolerance is built-in and no physical administration is required. SQL Azure supports Transact-SQL (T-SQL). Customers can leverage existing tools and knowledge in T-SQL based familiar relational
data model for building applications.
The Whats, Whys and Hows of Database as a ServicePeak 10
Companies have long used relational database management systems (RDBMS) to power their mission-critical applications. However, these systems have proven to be cumbersome to manage as more and more applications with database back-ends are deployed. They can’t automatically scale their resources in response to varying workload demands, licensing costs continue to escalate, and ongoing administration including monitoring, backups, and event remediation is onerous.
The Journey Toward the Software-Defined Data CenterCognizant
Computing's evolution toward a software-defined data center (SDDC) -- an extension of the cloud delivery model of infrastructure as a service (IaaS) -- is complex and multifaceted, involving multiple layers of virtualization: servers, storage, and networking. We provide a detailed adoption roadmap to guide your efforts.
Introduccion a SQL Server Master Data ServicesEduardo Castro
En esta presentación hacemos una introducción a SQL Server 2008 R2 Master Data Services.
Saludos,
Ing. Eduardo Castro Martínez, PhD – Microsoft SQL Server MVP
http://mswindowscr.org
http://comunidadwindows.org
Costa Rica
Technorati Tags: SQL Server
LiveJournal Tags: SQL Server
del.icio.us Tags: SQL Server
http://ecastrom.blogspot.com
http://ecastrom.wordpress.com
http://ecastrom.spaces.live.com
http://universosql.blogspot.com
http://todosobresql.blogspot.com
http://todosobresqlserver.wordpress.com
http://mswindowscr.org/blogs/sql/default.aspx
http://citicr.org/blogs/noticias/default.aspx
http://sqlserverpedia.blogspot.com/
Microsoft® SQL Azure™ Database is a cloud-based relational database service built for Windows® Azure platform. It provides a highly available, scalable, multi-tenant database service hosted by Microsoft in the cloud. SQL Azure Database enables easy provisioning and deployment of multiple databases. Developers do not have to install, setup, patch or manage any software. High Availability and fault tolerance is built-in and no physical administration is required. SQL Azure supports Transact-SQL (T-SQL). Customers can leverage existing tools and knowledge in T-SQL based familiar relational
data model for building applications.
The Whats, Whys and Hows of Database as a ServicePeak 10
Companies have long used relational database management systems (RDBMS) to power their mission-critical applications. However, these systems have proven to be cumbersome to manage as more and more applications with database back-ends are deployed. They can’t automatically scale their resources in response to varying workload demands, licensing costs continue to escalate, and ongoing administration including monitoring, backups, and event remediation is onerous.
The Journey Toward the Software-Defined Data CenterCognizant
Computing's evolution toward a software-defined data center (SDDC) -- an extension of the cloud delivery model of infrastructure as a service (IaaS) -- is complex and multifaceted, involving multiple layers of virtualization: servers, storage, and networking. We provide a detailed adoption roadmap to guide your efforts.
Introduccion a SQL Server Master Data ServicesEduardo Castro
En esta presentación hacemos una introducción a SQL Server 2008 R2 Master Data Services.
Saludos,
Ing. Eduardo Castro Martínez, PhD – Microsoft SQL Server MVP
http://mswindowscr.org
http://comunidadwindows.org
Costa Rica
Technorati Tags: SQL Server
LiveJournal Tags: SQL Server
del.icio.us Tags: SQL Server
http://ecastrom.blogspot.com
http://ecastrom.wordpress.com
http://ecastrom.spaces.live.com
http://universosql.blogspot.com
http://todosobresql.blogspot.com
http://todosobresqlserver.wordpress.com
http://mswindowscr.org/blogs/sql/default.aspx
http://citicr.org/blogs/noticias/default.aspx
http://sqlserverpedia.blogspot.com/
SQL Azure is a cloud-based relational database platform built on Microsoft® SQL Server® technologies. With SQL Azure, you can easily provision and deploy relational database solutions to the cloud. Trends in Data Management Organizations are seeing a proliferation of data as requirements to access and manage information increase
Challenges Management and Opportunities of Cloud DBAinventy
Research Inventy provides an outlet for research findings and reviews in areas of Engineering, Computer Science found to be relevant for national and international development, Research Inventy is an open access, peer reviewed international journal with a primary objective to provide research and applications related to Engineering. In its publications, to stimulate new research ideas and foster practical application from the research findings. The journal publishes original research of such high quality as to attract contributions from the relevant local and international communities.
Microsoft SQL Server 2012 Master Data ServicesMark Ginnebaugh
Author: Mark Gschwind, DesignMind
San Francisco, California
Master Data Services had a major upgrade in the SQL Server 2012 release. BI Consultant Mark Gschwind takes you through the new Excel interface, the new Silverlight look and feel, and integration improvements.
Knowing how to use this tool can be a valuable addition to your repertoire as a BI professional, allowing you to address data quality and other challenges.
Mark will show how to create a model, add columns and rows, manage security, and create hierarchies. He demos the new Excel interface and discuss how to allow you to manage master data yourself. He'll touch on how to integrate with a DW, migrating from Dev to Production.
You'll learn:
* How to let users manage dimensions and hierarchies for your DW
* How to create workflows to improve data quality in your DW
* Tips from real-life implementations to help you achieve a successful implementation
Mark Gschwind, Partner at DesignMind, is an expert on data warehousing, OLAP, and ERP migration. He has authored three enterprise data warehouses and over 80 OLAP cubes for 46 clients in a wide range of industries. Mark has certifications in SQL Server and Oracle Essbase.
Microsoft® SQL Server® 2008 R2 delivers several breakthrough capabilities that will enable your organization to scale database operations with confidence and improve IT and developer efficiency, as well as enable highly scalable and well-managed business intelligence on a self-service basis for your users.
Microsoft master data services mds overviewEugene Zozulya
Master data management (MDM) is a technology discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets.
Master data management tools can be used to support master data management by removing duplicates, standardizing data (mass maintaining), and incorporating rules to eliminate incorrect data from entering the system in order to create an authoritative source of master data.
Microsoft Master Data Services (MDS) is the SQL Server solution for master data management. Master data management (MDM) describes the efforts made by an organization to discover and define non-transactional lists of data, with the goal of compiling maintainable master lists. An MDM project generally includes an evaluation and restructuring of internal business processes along with the implementation of MDM technology. The result of a successful MDM solution is reliable, centralized data that can be analyzed, resulting in better business decisions.
Other Master Data Services features include hierarchies, granular security, transactions, data versioning, and business rules.
Master Data Services includes the following components and tools:
- Master Data Services Configuration Manager, a tool you use to create and configure Master Data Services databases and web applications.
- Master Data Manager, a web application you use to perform administrative tasks (like creating a model or business rule), and that users access to update data.
- MDSModelDeploy.exe, a tool you use to create packages of your model objects and data so you can deploy them to other environments.
- Master Data Services web service, which developers can use to extend or develop custom solutions for Master Data Services.
Learn more about ER/Studio Data Architect and try it free at: http://embt.co/ERStudioDA
With round-trip database support, data architects using ER/Studio Data Architect have the power to easily reverse-engineer, compare and merge, and visually document data assets residing in diverse locations from data centers to mobile platforms. Enterprise data can be more effectively leveraged as a corporate asset, while compliance is supported for business standards and mandatory regulations -- essential factors in an organizational data governance program. A range of data sources are supported ranging from those residing on the cloud to data sources residing on mobile phones. A variety of database platforms, including traditional RDBMS and big data technologies such as MongoDB and Hadoop Hive, can be imported and integrated into shared models and metadata definitions.
This session was about Master Data Services and what it also could be used as - the client wanted an application to validate and submit warehouse inventories.
Presentation on how to assess. design, plan, implement and deploy Database-as-a-Service (DBaaS) in the Cloud using ITIL Governance and Service Management Principles
Personalized Pens by Action Screen Printing. For more apparel, promotional items, gift ideas and specials follow our Facebook page. facebook.com/screenprintembroidrypromotions
SQL Azure is a cloud-based relational database platform built on Microsoft® SQL Server® technologies. With SQL Azure, you can easily provision and deploy relational database solutions to the cloud. Trends in Data Management Organizations are seeing a proliferation of data as requirements to access and manage information increase
Challenges Management and Opportunities of Cloud DBAinventy
Research Inventy provides an outlet for research findings and reviews in areas of Engineering, Computer Science found to be relevant for national and international development, Research Inventy is an open access, peer reviewed international journal with a primary objective to provide research and applications related to Engineering. In its publications, to stimulate new research ideas and foster practical application from the research findings. The journal publishes original research of such high quality as to attract contributions from the relevant local and international communities.
Microsoft SQL Server 2012 Master Data ServicesMark Ginnebaugh
Author: Mark Gschwind, DesignMind
San Francisco, California
Master Data Services had a major upgrade in the SQL Server 2012 release. BI Consultant Mark Gschwind takes you through the new Excel interface, the new Silverlight look and feel, and integration improvements.
Knowing how to use this tool can be a valuable addition to your repertoire as a BI professional, allowing you to address data quality and other challenges.
Mark will show how to create a model, add columns and rows, manage security, and create hierarchies. He demos the new Excel interface and discuss how to allow you to manage master data yourself. He'll touch on how to integrate with a DW, migrating from Dev to Production.
You'll learn:
* How to let users manage dimensions and hierarchies for your DW
* How to create workflows to improve data quality in your DW
* Tips from real-life implementations to help you achieve a successful implementation
Mark Gschwind, Partner at DesignMind, is an expert on data warehousing, OLAP, and ERP migration. He has authored three enterprise data warehouses and over 80 OLAP cubes for 46 clients in a wide range of industries. Mark has certifications in SQL Server and Oracle Essbase.
Microsoft® SQL Server® 2008 R2 delivers several breakthrough capabilities that will enable your organization to scale database operations with confidence and improve IT and developer efficiency, as well as enable highly scalable and well-managed business intelligence on a self-service basis for your users.
Microsoft master data services mds overviewEugene Zozulya
Master data management (MDM) is a technology discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets.
Master data management tools can be used to support master data management by removing duplicates, standardizing data (mass maintaining), and incorporating rules to eliminate incorrect data from entering the system in order to create an authoritative source of master data.
Microsoft Master Data Services (MDS) is the SQL Server solution for master data management. Master data management (MDM) describes the efforts made by an organization to discover and define non-transactional lists of data, with the goal of compiling maintainable master lists. An MDM project generally includes an evaluation and restructuring of internal business processes along with the implementation of MDM technology. The result of a successful MDM solution is reliable, centralized data that can be analyzed, resulting in better business decisions.
Other Master Data Services features include hierarchies, granular security, transactions, data versioning, and business rules.
Master Data Services includes the following components and tools:
- Master Data Services Configuration Manager, a tool you use to create and configure Master Data Services databases and web applications.
- Master Data Manager, a web application you use to perform administrative tasks (like creating a model or business rule), and that users access to update data.
- MDSModelDeploy.exe, a tool you use to create packages of your model objects and data so you can deploy them to other environments.
- Master Data Services web service, which developers can use to extend or develop custom solutions for Master Data Services.
Learn more about ER/Studio Data Architect and try it free at: http://embt.co/ERStudioDA
With round-trip database support, data architects using ER/Studio Data Architect have the power to easily reverse-engineer, compare and merge, and visually document data assets residing in diverse locations from data centers to mobile platforms. Enterprise data can be more effectively leveraged as a corporate asset, while compliance is supported for business standards and mandatory regulations -- essential factors in an organizational data governance program. A range of data sources are supported ranging from those residing on the cloud to data sources residing on mobile phones. A variety of database platforms, including traditional RDBMS and big data technologies such as MongoDB and Hadoop Hive, can be imported and integrated into shared models and metadata definitions.
This session was about Master Data Services and what it also could be used as - the client wanted an application to validate and submit warehouse inventories.
Presentation on how to assess. design, plan, implement and deploy Database-as-a-Service (DBaaS) in the Cloud using ITIL Governance and Service Management Principles
Personalized Pens by Action Screen Printing. For more apparel, promotional items, gift ideas and specials follow our Facebook page. facebook.com/screenprintembroidrypromotions
Presentation about the PMO Local Interest Group Latin America, a Subgroup from PMI\'s SIGPMO, given by PMOLIG-Brazil/NE coordinator Gerhard Tekes at the 1st international Project Management Congress in Manaus-AM-Brazil at 21st of Oct 2009 at the PMO Round Table
Action Screen Print & Embroidery Holiday Apparel, Caps and Bags Catalog is full of great corporate gift ideas. Reward your employees and clients this Holiday Season. For more apparel, promotional items, gift ideas and specials follow our Facebook page. facebook.com/screenprintembroidrypromotions
Action Screen Print & Embroidery Holiday Gift GuideTom Thornton
The Holidays will be upon us soon. Our Holiday Gift Guide is full of great ideas for holiday gifts for employees and your favorite clients. Give me a call or drop me an email for a personalized quote.
Holiday Specials Catalog 2014. Gift ideas for employees and clients. Call for a personalized quote. For more apparel, promotional items, gift ideas and specials follow our Facebook page. facebook.com/screenprintembroidrypromotions
The RSHP Gala Ball was a fantastic successful charity ball to celebrate RSHP\'s 30th anniversary year. The ball raised £25,000 for RSHP, a local independent homeless charity in Reading
This catalog is full of great promotional ideas including flash drives, web keys, chargers and powerbanks. These customized items are a great way to promote your business using the latest in technology.
Tri-Mountain Apparel at Action Screen Print & EmbroideryTom Thornton
Great high quality apparel! The 2015 Tri-Mountain catalog is out. Have your company logo screen printed or embroidered on these on these great shirts, jackets, and more! Contact me for a personal quote.
Follow my Facebook page for other great screen printed and embroidered apparel and promotional items. facebook.com/screenprintembroiderypromotions
Data Driven Advanced Analytics using Denodo Platform on AWSDenodo
Watch full webinar here: https://buff.ly/3JC8gCS
Accelerating cloud adoption and modernizing analytics in the cloud has become a necessity to facilitate timely, insightful, and impactful decision making. However, with the widespread data in an organization across disparate hybrid cloud data sources poses a challenge with real time and well governed analytics. Data Virtualization is a modern data integration technique in which a single semantic layer can be built to help drive data democratization and speed up the analytics in an efficient and cost-effective manner.
Watch this session to learn:
- How various AWS services (Redshift, S3, RDS) can be quickly integrated using Denodo Platform’s logical data management by implementing a logical data fabric (LDF)
- How LDF helps you manage and deliver your data for data science and analytics programs, supporting your business users.
- How governed Data Services layer enables self-service analytics in your complex AWS data landscape
Data Ninja Webinar Series: Realizing the Promise of Data LakesDenodo
Watch the full webinar: Data Ninja Webinar Series by Denodo: https://goo.gl/QDVCjV
The expanding volume and variety of data originating from sources that are both internal and external to the enterprise are challenging businesses in harnessing their big data for actionable insights. In their attempts to overcome big data challenges, organizations are exploring data lakes as consolidated repositories of massive volumes of raw, detailed data of various types and formats. But creating a physical data lake presents its own hurdles.
Attend this session to learn how to effectively manage data lakes for improved agility in data access and enhanced governance.
This is session 5 of the Data Ninja Webinar Series organized by Denodo. If you want to learn more about some of the solutions enabled by data virtualization, click here to watch the entire series: https://goo.gl/8XFd1O
Fast Data Strategy Houston Roadshow PresentationDenodo
Fast Data Strategy Houston Roadshow focused on the next industrial revolution on the horizon, driven by the application of big data, IoT and Cloud technologies.
• Denodo’s innovative customer, Anadarko, elaborated on how data virtualization serves as the key component in their prescriptive and predictive analytics initiatives, driven by multi-structured data ranging from customer data to equipment data.
• Denodo’s session, Unleashing the Power of Data, described the complexity of the modern data ecosystem and how to overcome challenges and successfully harness insights.
• Our Partner Noah Consulting, an expert analytics solutions provider in the energy industry, explained how your peers are innovating using new business models and reducing cost in areas such as Asset Management and Operations by leveraging Data Virtualization and Prescriptive and Predictive Analytics.
For more information on upcoming roadshows near you, follow this link: https://goo.gl/WBDHiE
How a Semantic Layer Makes Data Mesh Work at ScaleDATAVERSITY
Data Mesh is a trending approach to building a decentralized data architecture by leveraging a domain-oriented, self-service design. However, the pure definition of Data Mesh lacks a center of excellence or central data team and doesn’t address the need for a common approach for sharing data products across teams. The semantic layer is emerging as a key component to supporting a Hub and Spoke style of organizing data teams by introducing data model sharing, collaboration, and distributed ownership controls.
This session will explain how data teams can define common models and definitions with a semantic layer to decentralize analytics product creation using a Hub and Spoke architecture.
Attend this session to learn about:
- The role of a Data Mesh in the modern cloud architecture.
- How a semantic layer can serve as the binding agent to support decentralization.
- How to drive self service with consistency and control.
Next Gen Analytics Going Beyond Data WarehouseDenodo
Watch this Fast Data Strategy session with speakers: Maria Thonn, Enterprise BI Development Manager, T-Mobile & Jonathan Wisgerhof, Smart Data Architect, Kadenza: https://goo.gl/J1qiLj
Your company, like most of your peers, is undoubtedly data-aware and data-driven. However, unless you embrace a modern architecture like data virtualization to deliver actionable insights from your enterprise data, the worth of your enterprise data will diminish to a fraction of its potential.
Attend this session to learn how data virtualization:
• Provides a common semantic layer for business intelligence (BI) and analytical applications
• Enables a more agile, flexible logical data warehouse
• Acts as a single virtual catalog for all enterprise data sources including data lakes
Why Data Mesh Needs Data Virtualization (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3Betgsw
Data mesh is a new decentralized paradigm for data analytics that aims to remove bottlenecks and take data decisions closer to those who understand the data. To minimize data silos, avoid duplication of effort, and ensure consistency, the data mesh paradigm proposes a unified infrastructure enabling domains to create and share data products while enforcing standards for interoperability, quality, governance, and security.
Data virtualization solutions like the Denodo Platform have been designed precisely to provide a unified, governed, and secure data layer on top of multiple distributed data systems, so they are a natural fit for implementing data mesh principles.
What you will learn?
- Why data virtualization is a key foundation for data mesh
- How data virtualization supports data mesh concepts
- How data virtualization enables domains to quickly implement data products by creating virtual models on top of any data source
Modern Data Management for Federal ModernizationDenodo
Watch full webinar here: https://bit.ly/2QaVfE7
Faster, more agile data management is at the heart of government modernization. However, Traditional data delivery systems are limited in realizing a modernized and future-proof data architecture.
This webinar will address how data virtualization can modernize existing systems and enable new data strategies. Join this session to learn how government agencies can use data virtualization to:
- Enable governed, inter-agency data sharing
- Simplify data acquisition, search and tagging
- Streamline data delivery for transition to cloud, data science initiatives, and more
Data Virtualization: Introduction and Business Value (UK)Denodo
Watch full webinar here: https://bit.ly/30mHuYH
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics. Denodo’s vision is to provide a unified data delivery layer as a logical data fabric, to bridge the gap between the IT and the business, hiding the underlying complexity and creating a semantic layer to expose data in a business friendly manner.
Attend this webinar to learn:
- What data virtualization really is
- How it differs from other enterprise data integration technologies
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
- Business Value of data virtualization and customer use cases
- Highlights of the newly launched Denodo Platform 8.0
Self service BI with sql server 2008 R2 and microsoft power pivot shortEduardo Castro
In this presentation we summarize BI improvements in SQL Server 2008 R2 and PowerPivot.
Regards,
Dr. Eduardo Castro
http://ecastrom.blogspot.com
http://comunidadwindows.org
Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016StampedeCon
This session will detail best practices for architecting, building, operating and managing an Analytics Data Lake platform. Key topics will include:
1) Defining next-generation Data Lake architectures. The defacto standard has been commodity DAS servers with HDFS, but there are now multiple solutions aimed at separating compute and storage, virtualizing or containerizing Hadoop applications, and utilizing Hadoop compatible or embedded HDFS filesystems. This portion will explore the options available, and the pros and cons of each.
2) Data Ingest. There are many ways to load data into a Data Lake, including standardized Apache tools (Sqoop, Flume, Kafka, Storm, Spark, NiFi), standard file and object protocols (SFTP, NFS, Rest, WebHDFS), and proprietary tools (eg, Zaloni Bedrock, DataTorrent). This section will explore these options in the context of best fit to workflows; it will also look at key gaps and challenges, particularly in the areas of data formats and integration with metadata/cataloging tools.
3) Metadata & Cataloguing. One of the biggest inhibitors of successful Data Lake deployments is Data Governance, particularly in the areas of indexing, cataloguing and metadata management. It is nearly impossible to run analytics on top of a Data Lake and get meaningful & timely results without solving these problems. This portion will explore both emerging open standards (Apache Atlas, HCatalog) and proprietary tools (Cloudera Navigator, Zaloni Bedrock/Mica, Informatica Metadata Manager), and balance the pros, cons and gaps of each.
4) Security & Access Controls. Solving these challenges are key for adoption in regulatory driven industries like Healthcare & Financial Services. There are multiple Apache projects and proprietary tools to address this, but the challenge is making security and access controls consistent across the entire application and infrastructure stack, and over the data lifecycle, and being able to audit this in the face of legal challenges. This portion will explore available options and best practices.
5) Provisioning & Workflow Management. The real promise of the Data Lake is integrating Analytics workflows and tools on converged infrastructure-with shared data-and build “As A Service” oriented architectures that are oriented towards self-service data exploration and Analytics for end users. This is an emerging and immature area, but this session will explore some potential concepts, tools and options to achieve this.
This will be a moderately technical session, with the above topics being illustrated by real world examples. Attendees should have basic familiarity with Hadoop and the associated Apache projects.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
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.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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/
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
Anaeko A-DAS Datasheet V1.4
1. A-DAS™ Data Sheet
The Anaeko Data Agility Server
Organisations, large and small, increasingly need access to multiple data sources
and services, juggling the need to support legacy applications while simultaneously
fostering new initiatives and integrating new systems. To make matters worse these
data sources are rarely compatible and are increasingly a combination of structured
and unstructured data.
The Anaeko Data Agility Server (A-DAS™) addresses this universal problem by
consolidating and simplifying access to data, providing what we call Agile Data
Integration.
A-DAS™ enables customised views of the data using a light touch approach that
leaves the underlying data intact.
A-DAS™ provides uniform, consistent access to the data, independent of the
original source
A-DAS™ is unique in that, unlike other integration middleware solutions, it does not
depend on a ‘single version of the truth’ and can, therefore, react to change in a
rapid and flexible way.
Advantages Applications
Leverage Any Data Source A-DAS™ enables the following applications:
Create federated views of any number of disparate data
sources, across any physical or organisation structure, unifying
• Data-as-a-Service
data access and representation.
• Single View of Customer, business, property, patient ..
Access Real-Time Information
• Real-Time Reporting
Provide real-time access to static and dynamic data. Create rich
views of data accessible via simple RESTful interfaces.
• Data Integration Hot-Housing and Prototyping
Reduce Cost • Master Data Management
Minimise integration time and effort by using a light-touch
• Data Integration within a SOA environment
approach where new data sources can be quickly and easily
added and change can be absorbed with minimum impact.
TM
Anaeko configures A-DAS to access each data store in the
Promote Governance
customer business networks. Through the A-DASTM
Support SOA style governance by leaving control at the source,
management interface we define what information to make
whilst simultaneously promoting unified access and
available to what services and define the relationship between
serendipitous reuse throughout the organisation TM
similar and conflicting data. A-DAS sources, caches and
intelligently consolidates enterprise data to create virtual views
Reduce Risk
across all data. As new data stores become available they can
Reduce risk of vendor and technology lock-in; knock on effects
be added to the growing federation.
from data change, and stale, inaccurate data.
Individuals, teams and organisations access the consolidated
Reduce Effort
data federation through simple standards based interfaces.
Rapidly create prototypes of data integration scenarios to
The comprehensive rich data views can be leveraged to
assess data quality, visualise results and communicate trade-
deliver a new generation of user centric services.
offs.
Deliver Enterprise Class Solutions
Light enough to be deployed in modest environments, yet
scales to cope with advanced federated search and query
across distributed and heterogeneous data sources
2. Architecture
Federation Layer
The Anaeko Data Agility Server (A-DAS™) is an enabling data
integration infrastructure solution that provides a consolidated The federation layer provides real-time federation of
view of disparate structured and unstructured data sources. distributed data queries
• Transformation - User defined scriptable
A-DAS™ simplifies the creation of relationships between the transformations can be applied to the data “on the fly”.
many different data sources thereby creating a richer set of
• Aggregation - Combination of the returned data sets.
customisable materialized and virtualized views. supporting unions and joins of the merged data
• Cleansing - Defined scriptable cleansing operations to
A-DAS™ has a three layer logical architecture: be applied to the data
• Optimisation - Query rewriting, intelligent distribution of
Presentation Layer the query across the federated source. Performs
pushdown analysis to utilise any back-end data source
The presentation layer provides simple application and user
optimisations
interfaces to access the data.
• Representation - Tailors the data returned to suit the
Adaption Layer
client capability
The adaption layer provides a plug-in adaptor framework,
• Caching - Support for web caching with a fully HTTP 1.1
which comes with a number of predefined out-of-the-box
compliant interface.
adaptors that can be configured to connect to Relational
• Queries & Views - Query processing engine and View
Databases, Web Services etc. It also supports the easy
catalogue. Supports the creation of queries and views and
creation of adaptors for legacy and future data stores
enables distributed query processing
• Metadata - Supports Metadata discovery and creation,
allowing simple browsing from any web browser as well
as integrated IDE support for the Eclipse platform.
A-DAS™ Logical Architecture
3. Features
Unified Access Light Touch Integration
• •
Out of the box access to common data sources, Supports distributed & centralised deployments
including relational databases, web services, XML, • Supports multiple platforms to fit existing environments
XMPP and SNMP device
• Dynamic addition and removal of data sources
• Modular architecture and extensible SDK for rapid
• Builds on the emergent reuse of the web through its
development of custom adapters for legacy and
RESTful interfaces
proprietary sources.
• Standard HTTP and mime support - reduce cost of 3rd
• Unified and simplified access to data across distributed
part integration
sites.
• Support for everyday end-user tools e.g. Excel, web
• Flexible metadata management with support for
browser etc
browsing, discovery and annotation
• Self-describing RESTful interface Performance and Scalability
• Light enough to tackle the simplest task but Scales for
Data as a Service
tasks commonly associated with application servers.
• Simple data service discovery using the A-DAS™ rich
• Create a lightweight cached data service, from single
client or through a standard web browser
sources or across multiple sources
• Incremental, rapid evolution of data services
• Support for HTTP caching and proxies
• Flexible client access with support for internet mime-
• Operates in both asynchronous callbacks mode and
types; data is returned in standard client appropriate
synchronous access mode
formats (HTML, XML, MS Excel, JSON, etc)
• Can be deployed on commodity hardware
• Plugs into your existing web infrastructure
• High availability support via 3rd party load balancers
• Protect your data sources by creating an A-DAS™ data
•
firewall Utilises a highly scalable stateless Resource Oriented
Architecture (ROA)
Query and Transform
• Stateless design allows for complete horizontal and
• Create ad-hoc queries and predefined data views using vertical scaling
real-time data integration and on the fly optimised
queries across heterogeneous data sources
Specifications
• Declarative data access, with support for core relational
semantics; ask 'what' not 'how'
Supported Data Sources
• Built in support for data cleansing and transformation,
• Relational Databases (Oracle, MS SQL Server Sybase,
with provision for extensible, scriptable data
DB2, MySQL, , MS Access, Informix)
manipulation in real time, without affecting the
•
underlying data source Web Services (SOAP, REST)
•
• XML
Bring the power of SQL to non-relational sources
• Presence Servers (XMPP, Jabber)
• Peer-to-Peer query processing
• Location Severs (Parlay X)
• Query optimisation with query rewriting, query
•
distribution and query pushdown. SNMPv2 capable devices
• CSV, MS Excel Spreadsheets
Security
• Custom adapters developed to specification
• All components can be distributed on different network
segments allowing standard firewalls to be leveraged
Application Interfaces
• Communication between all distributed components can
• HTTP, HTTPS, HTML, XML, CSV, JSON
utilise SSL tunnelling
• Apply fine-grained access control on an individual field
Management Interfaces
basis
• JMX, Eclipse IDE Plugin
Tools and Management
• Remote standards compliant management through JMX Platform Requirements
• Rich client interface to management and metadata • Memory: 1GB RAM
utilities
• Disk Space: 100MB
• SDK client libraries
• Operating System: Any OS with Java support:
• Integrated IDE support for Eclipse o Windows (2000, XP, Vista)
o Linux (Red Hat, Ubuntu, Debian, Fedora)
o Unix (Solaris, HP-UX, AIX)
4. Deployment About Anaeko
A-DAS™ can be deployed in a completely flexible manner Anaeko was established to address the increasingly complex
with services distributed to suit load and security and challenging data management issues in large
requirements. In the simplest deployment, the solution is organisations and over the years has developed world class
centrally deployed with remote connections to distributed data competencies in agile data integration, specifically RESTful
data federation. Anaeko has formulated the Agile Data
stores.
™
Integration Methodology - a distinctive approach to data
A-DAS™ can either be installed on commodity hardware or integration based on agile principals where early validation
delivered as a completely managed service. and continual refinement guarantee timely solutions that are
fit for purpose. This approach promotes quick decision
The example below shows a centralized deployment of A- making and prevents changing business objectives from
DAS™ core and two adaptors (Node A) with load-balanced jeopardising data integration projects.
database connectors distributed for performance and
availability (Node B). Anaeko's ability and reputation to deliver quality systems and
data integration consultancy is demonstrated by a list of
clients that includes Meteor Mobile, BT, InterTradeIreland,
Accuris Networks, mFormation, ChangingWorlds and many
more.
Headquarters:
Anaeko,
Weavers Court Business Park,
Linfield Road,
Belfast,
BT12 5GH,
Northern Ireland
Telephone: +44 (0)28 90 224 005
Email: info@anaeko.com
www.anaeko.com
Copyright: 2009 Anaeko Ltd. All rights reserved. Anaeko and the A-
DAS™ product name are trademarks or registered trade marks of
Anaeko Ltd. All other brands, products or service names are, or may
Example A-DAS™ Deployment be, trademarks or registered trademarks, and are used to identify
products and services of their respective owner.
The A-DAS™ Management GUI