Master Data Services helps enterprises centrally manage critical data assets across systems to provide a single version of the truth, enable role-based management of master data directly to improve consistency, and ensure data integrity over time through features like versioning, workflow notifications, and flexible business rules.
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
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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.
This session shows via live demonstration the use of Integration Services, Data Quality- and Master Data Services to create a closed loop information management solution, which cleans, standardize, merge and purges data all with the new data curation tools of SQL Server 2012. The session will also cover principals and best practises for each of the technology used.
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.
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 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.
This session shows via live demonstration the use of Integration Services, Data Quality- and Master Data Services to create a closed loop information management solution, which cleans, standardize, merge and purges data all with the new data curation tools of SQL Server 2012. The session will also cover principals and best practises for each of the technology used.
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.
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.
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.
Enterprise Information Management (EIM) in SQL Server 2012Mark Gschwind
These are the slides from my 2013 SQL Saturday presentations in Mountain View and Sacramento. I suggest you view the (newer) videos, as they cover all that material and more. However, here is the session description these slides cover:
A recent survey by Information Week found that data quality is the greatest barrier to BI adoption in enterprises. MDS addresses this challenge with modeling, validation, alerting and security capabilities. In this presentation, you will learn how to use MDS to model your data to ensure correctness, update it with changes from your ERP, and create workflows with notifications. Next you will learn the capabilities of DQS and see how it addresses data standardization, completeness and other challenges. You will then see how to use them together to enable Enterprise Information Management. BI professionals will come away with knowledge on how to use tools that address the greatest risk to success for BI projects - data quality
Change Manager’s compare, synchronization, data masking, and auditing capabilities let you track and report on changes, roll out new releases, and pinpoint performance problems resulting from changes at the data, schema and database configuration levels.
Tackling Future CMS Requirements—FDCCI, Shared Services, Big Data and Mobility by Tony Trenkle, Chief Information Officer and the Director of the Office of Information Services in the Centers for Medicare and Medicaid Services, Department of Health and Human Services
Introduction to Microsoft’s Master Data Services (MDS)James Serra
Master Data Services is bundled with SQL Server 2012 to help resolve many of the Master Data Management issues that companies are faced with when integrating data. In this session, James will show an overview of Master Data Services 2012, including the out of the box Web UI, the highly developed Excel Add-in, and how to get started with loading MDS with your data.
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.
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.
Enterprise Information Management (EIM) in SQL Server 2012Mark Gschwind
These are the slides from my 2013 SQL Saturday presentations in Mountain View and Sacramento. I suggest you view the (newer) videos, as they cover all that material and more. However, here is the session description these slides cover:
A recent survey by Information Week found that data quality is the greatest barrier to BI adoption in enterprises. MDS addresses this challenge with modeling, validation, alerting and security capabilities. In this presentation, you will learn how to use MDS to model your data to ensure correctness, update it with changes from your ERP, and create workflows with notifications. Next you will learn the capabilities of DQS and see how it addresses data standardization, completeness and other challenges. You will then see how to use them together to enable Enterprise Information Management. BI professionals will come away with knowledge on how to use tools that address the greatest risk to success for BI projects - data quality
Change Manager’s compare, synchronization, data masking, and auditing capabilities let you track and report on changes, roll out new releases, and pinpoint performance problems resulting from changes at the data, schema and database configuration levels.
Tackling Future CMS Requirements—FDCCI, Shared Services, Big Data and Mobility by Tony Trenkle, Chief Information Officer and the Director of the Office of Information Services in the Centers for Medicare and Medicaid Services, Department of Health and Human Services
Introduction to Microsoft’s Master Data Services (MDS)James Serra
Master Data Services is bundled with SQL Server 2012 to help resolve many of the Master Data Management issues that companies are faced with when integrating data. In this session, James will show an overview of Master Data Services 2012, including the out of the box Web UI, the highly developed Excel Add-in, and how to get started with loading MDS with your data.
Learn more about DBArtisan at: http://embt.co/DBArtisan
Embarcadero® DBArtisan® XE6 is the premiere database administration toolset helping DBAs maximize availability, performance and security across multiple DBMSs. This essential toolset consistently boosts productivity, streamlines routine tasks, and reduces errors. DBArtisan provides an easy-to-use, single view across all enterprise data sources featuring comprehensive capabilities for all core data management tasks.
Data and Application Modernization in the Age of the Cloudredmondpulver
Data modernization is key to unlocking the full potential of your IT investments, both on premises and in the cloud. Enterprises and organizations of all sizes rely on their data to power advanced analytics, machine learning, and artificial intelligence.
Yet the path to modernizing legacy data systems for the cloud is full of pitfalls that cost time, money, and resources. These issues include high hardware and staffing costs, difficulty moving data and analytical processes to cloud environments, and inadequate support for real-time use cases. These issues delay delivery timelines and increase costs, impacting the return on investment for new, cutting-edge applications.
Watch this webinar in which James Kobielus, TDWI senior research director for data management, explores how enterprises are modernizing their mainframe data and application infrastructures in the cloud to sustain innovation and drive efficiencies. Kobielus will engage John de Saint Phalle, senior product manager at Precisely, in a discussion that addresses the following key questions:
When should enterprises consider migrating and replicating all their data assets to modern public clouds vs. retaining some on-premises in hybrid deployments?How should enterprises modernize their legacy data and application infrastructures to unlock innovation and value in the age of cloud computing?What are the key investments that enterprises should make to modernize their data pipelines to deliver better AI/ML applications in the cloud?What is the optimal data engineering workflow for building, testing, and operationalizing high-quality modern AI/ML applications in the cloud?What value does real-time replication play in migrating data and applications to modern cloud data architectures?What challenges do enterprises face in ensuring and maintaining the integrity, fitness, and quality of the data that they migrate to modern clouds?What tools and methodologies should enterprise application developers use to refactor and transform legacy data applications that have migrated to modern clouds
An Overview of Master Data Management ArchitectureDataIO Pvt. Ltd.
Learn about the key components of Master Data Management Architecture and how they work together to ensure that your organization's critical data assets are consistent, accurate, and complete. Discover the different layers of MDM architecture for data quality, decision-making, and business operations.
The Pivotal CRM Data Management module empowers business helps companies easily and effectively manage data importing and hygiene without analysts, marketers, or CRM “super users” to easily import, de-dupe,advanced IT skills. and merge records in Pivotal CRM, enabling companies to cost-
Data oriented and Process oriented Strategies for Legacy Information Systems ...IDES Editor
The legacy information systems often implement
manual data updates for information obtained from external
systems. The manual updates are cumbersome, error prone,
and expensive. The legacy systems miss interfaces to external
systems that could be used for automatic updates of system
data. Moreover, the legacy systems also lack extensions to
supplier or customer systems that are essential for creating
supply chain relationships. This paper explores the data
oriented and process oriented models of legacy systems, and
discusses the details of systems development and evolution
models mainly aiming at an ongoing reengineering of legacy
systems. This paper proposes simple strategies for creating
interfaces to external systems for automatic updates of data,
and for adapting to the process evolution that requires a legacy
information system to extend its communications with
external systems that could help in creating successful supply
chain relationships. These strategies can reshape a legacy
system to be reengineered into a new enterprise information
system whether the legacy system is of a data oriented model,
or of a process oriented model.
Learn more at: http://www.erstudio.com
ER/Studio Team Server provides greater understanding and context to enterprise data through team collaboration on an enterprise glossary of business definitions. This increases the value of enterprise data by giving employees across the organization the ability to use and improve metadata.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
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!
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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.
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
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.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
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.
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.
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.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
20240609 QFM020 Irresponsible AI Reading List May 2024
Sql server2008 r2_mds_datasheet
1. and analytical data across the enterprise and across their line of
Master Data Services helps enterprises standardize business systems.
the data people rely on to make critical business
Get a single version of the truth
decisions. With Master Data Services, IT
A master data hub provides an authoritative source for all
organizations can centrally manage critical data
master data used by an enterprise, regardless of data
assets companywide and across diverse systems, system. Organizations can easily align data from merged
enable more people to securely manage master data systems, new domains, and even unique domains. In
directly, and ensure the integrity of information over addition, Master Data Services can serve both as a system
time. of entry (SOE) or system of record (SOR).
www.microsoft.com/sqlserver/2008/en/us/MDS.aspx Improve operational consistency
Top New
MASTER DATA SERVICES
Manage critical data assets by enabling proactive
Features stewardship, defining workflows around data changes,
notifying impacted parties, managing hierarchies, and
sharing the authoritative source with all impacted systems.
Master data hub provides central
management of master data entities Improve reporting consistency
and hierarchies. Each master data change within the system is treated as a
Thin-client stewardship portal provides secure, transaction, and the User, Date, and Time of each change is
role-based Web access to master data. logged, as well as pertinent audit details, such as type of
change, member code, and prior versus new value. In
Versioning capability creates versions of addition to being a very useful audit trail, the transaction
all data entities and hierarchies. log can be used to selectively reverse changes.
Human workflow notifies assigned owners by ENABLE USERS TO MANAGE
e-mail of business rule violations. MASTER DATA SECURELY
Flexible and extensible business rules With Master Data Services, people across the enterprise
safeguard the quality of data entered in can contribute to and consume master data securely and
the master data hub. as needed, without having to go through IT.
Master data system provides support for a
broad range of hierarchy and attribute
management strategies and requirements.
Comprehensive role-based security model
enables fine-grained, secure access to
master data.
.
ALIGN DATA ACROSS SYSTEMS
Using Master Data Services, organizations can align operational
® ®
Microsoft SQL Server 2008 Master Data Services