This document discusses managing data and information as assets through real-world data governance. It describes an upcoming webinar on what governed data looks like and how to achieve it. The webinar will cover definitions of key terms, managing data as an asset, and the differences between data and information. It will also discuss how governed data provides improved business understanding, decision making, and risk management compared to ungoverned data.
Glossaries, Dictionaries, and Catalogs Result in Data GovernanceDATAVERSITY
Data catalogs, business glossaries, and data dictionaries house metadata that is important to your organization’s governance of data. People in your organization need to be engaged in leveraging the tools, understanding the data that is available, who is responsible for the data, and knowing how to get their hands on the data to perform their job function. The metadata will not govern itself.
Join Bob Seiner for the webinar where he will discuss how glossaries, dictionaries, and catalogs can result in effective Data Governance. People must have confidence in the metadata associated with the data that you need them to trust. Therefore, the metadata in your data catalog, business glossary, and data dictionary must result in governed data. Learn how glossaries, dictionaries, and catalogs can result in Data Governance in this webinar.
Bob will discuss the following subjects in this webinar:
- Successful Data Governance relies on value from very important tools
- What it means to govern your data catalog, business glossary, and data dictionary
- Why governing the metadata in these tools is important
- The roles necessary to govern these tools
- Governance expected from metadata in catalogs, glossaries, and dictionaries
Data Catalogues - Architecting for Collaboration & Self-ServiceDATAVERSITY
The interest in Data Catalogs is growing as more business & technical users are looking to gain insight from data using a self-service approach. Architectural techniques for Data Provisioning and Metadata Cataloging have evolved to cater to these new audiences and ways of working. This webinar provides concrete methods of architecting your Self-service BI & Analytics environment to foster collaboration while at the same time maintaining Data Quality and reducing risk.
Real-World Data Governance: Data Governance ExpectationsDATAVERSITY
When starting a Data Governance program, significant time, effort and bandwidth is typically spent selling the concept of data governance and telling people in your organization what data governance will do for them. This may not be the best strategy to take. We should focus on making Data Governance THEIR idea not ours.
Shouldn’t the strategy be that we get the business people from our organization to tell US why data governance is necessary and what data governance will do for them? If only we could get them to tell us these things? Maybe we can.
Join Bob Seiner and DATAVERSITY for this informative Real-World Data Governance webinar that will focus on getting THEM to tell US where data governance will add value. Seiner will review techniques for acquiring this information and will share information of where this information will add specific value to your data governance program. Some of those places may surprise you.
Glossaries, Dictionaries, and Catalogs Result in Data GovernanceDATAVERSITY
Data catalogs, business glossaries, and data dictionaries house metadata that is important to your organization’s governance of data. People in your organization need to be engaged in leveraging the tools, understanding the data that is available, who is responsible for the data, and knowing how to get their hands on the data to perform their job function. The metadata will not govern itself.
Join Bob Seiner for the webinar where he will discuss how glossaries, dictionaries, and catalogs can result in effective Data Governance. People must have confidence in the metadata associated with the data that you need them to trust. Therefore, the metadata in your data catalog, business glossary, and data dictionary must result in governed data. Learn how glossaries, dictionaries, and catalogs can result in Data Governance in this webinar.
Bob will discuss the following subjects in this webinar:
- Successful Data Governance relies on value from very important tools
- What it means to govern your data catalog, business glossary, and data dictionary
- Why governing the metadata in these tools is important
- The roles necessary to govern these tools
- Governance expected from metadata in catalogs, glossaries, and dictionaries
Data Catalogues - Architecting for Collaboration & Self-ServiceDATAVERSITY
The interest in Data Catalogs is growing as more business & technical users are looking to gain insight from data using a self-service approach. Architectural techniques for Data Provisioning and Metadata Cataloging have evolved to cater to these new audiences and ways of working. This webinar provides concrete methods of architecting your Self-service BI & Analytics environment to foster collaboration while at the same time maintaining Data Quality and reducing risk.
Real-World Data Governance: Data Governance ExpectationsDATAVERSITY
When starting a Data Governance program, significant time, effort and bandwidth is typically spent selling the concept of data governance and telling people in your organization what data governance will do for them. This may not be the best strategy to take. We should focus on making Data Governance THEIR idea not ours.
Shouldn’t the strategy be that we get the business people from our organization to tell US why data governance is necessary and what data governance will do for them? If only we could get them to tell us these things? Maybe we can.
Join Bob Seiner and DATAVERSITY for this informative Real-World Data Governance webinar that will focus on getting THEM to tell US where data governance will add value. Seiner will review techniques for acquiring this information and will share information of where this information will add specific value to your data governance program. Some of those places may surprise you.
DMBOK 2.0 and other frameworks including TOGAF & COBIT - keynote from DAMA Au...Christopher Bradley
DAMA DMBoK 2.0 keynote presentation at DAMA Australia November 2013.
Overview of DMBOK, what's different in 2.0, and how the DMBOK co-exists and successfully interoperates with other frameworks such as TOGAF and COBIT
Updated with revised DMBoK 2 release date
chris.bradley@dmadvisors.co.uk
This is a slide deck that was assembled as a result of months of Project work at a Global Multinational. Collaboration with some incredibly smart people resulted in content that I wish I had come across prior to having to have assembled this.
Estrategia de datos en las organizaciones SAS Colombia
Si se ha preguntado ¿cómo los datos de su organización pueden contribuir al desarrollo de los lineamientos corporativos? La respuesta es sí: implementando una estrategia de Data Management.
Activate Data Governance Using the Data CatalogDATAVERSITY
Data Governance programs depend on the activation of data stewards that are held formally accountable for how they manage data. The data catalog is a critical tool to enable your stewards to contribute and interact with an inventory of metadata about the data definition, production, and usage. This interaction is active Data Governance in the truest sense of the word.
In this RWDG webinar, Bob Seiner will share tips and techniques focused on activating your data stewards through a data catalog. Data Governance programs that involve stewards in daily activities are more likely to demonstrate value from their data-intensive investments.
Bob will address the following in this webinar:
- A comparison of active and passive Data Governance
- What it means to have an active Data Governance program
- How a data catalog tool can be used to activate data stewards
- The role a data catalog plays in Data Governance
- The metadata in the data catalog will not govern itself
Data Governance Takes a Village (So Why is Everyone Hiding?)DATAVERSITY
Data governance represents both an obstacle and opportunity for enterprises everywhere. And many individuals may hesitate to embrace the change. Yet if led well, a governance initiative has the potential to launch a data community that drives innovation and data-driven decision-making for the wider business. (And yes, it can even be fun!). So how do you build a roadmap to success?
This session will gather four governance experts, including Mary Williams, Associate Director, Enterprise Data Governance at Exact Sciences, and Bob Seiner, author of Non-Invasive Data Governance, for a roundtable discussion about the challenges and opportunities of leading a governance initiative that people embrace. Join this webinar to learn:
- How to build an internal case for data governance and a data catalog
- Tips for picking a use case that builds confidence in your program
- How to mature your program and build your data community
How to Build & Sustain a Data Governance Operating Model DATUM LLC
Learn how to execute a data governance strategy through creation of a successful business case and operating model.
Originally presented to an audience of 400+ at the Master Data Management & Data Governance Summit.
Visit www.datumstrategy.com for more!
What has changed in DMBok V2?
We have been working with DMBoK V1 for may years and it is great to finally get to read and study the changes. Did a quikc comparison between the 2 versions.
Data Management and Data Governance are the same thing! Aren’t they? Most people would say that this line of thinking is absurd – or even worse. There is NO WAY that they are the same thing. Or are they?
Join Bob Seiner and Anthony Algmin for a lively, interactive, and entertaining discussion targeted at providing attendees ways to consider relating these two disciplines. You’ve never attended a session like this.
In this session, Bob and Anthony will discuss:
- The similarities between Data Management and Data Governance
- The differences between the two
- How to use Data Management to sell Data Governance … and the other way around
- Deciding if the two disciplines are the same … or different
Presentación de Gobierno de Datos en DAMA MéxicoRamón Hernández
Presentación del área de conocimiento de Gobierno de Datos según la 1a edición del DMBoK, la versión más reciente disponible es 2da edición, para que lo consideres cuando descargues esta presentación.
Esta presentación se dió en el año 2016 en un meetup de DAMA Capítulo México por parte de Ramón Hernández - VP de Marketing.
Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with buzzwords such as “big data,” “NoSQL,” “data scientist,” and so on. Few realize that any and all solutions to their business problems, regardless of platform or relevant technology, rely to a critical extent on the data model supporting them. As such, Data Modeling is not an optional task for an organization’s data effort, but rather a vital activity that facilitates the solutions driving your business. Since quality engineering/architecture work products do not happen accidentally, the more your organization depends on automation, the more important are the data models driving the engineering and architecture activities o
Making data based decisions makes instinctive sense, and evidence is mounting that it makes strong commercial sense too.
Whilst being aware of this kind of potential is undoubtedly valuable, knowing it and doing something about it are two very different things.
So how do you go about becoming a data driven organization?
And how does the Data Management Maturity Assessment help in achieving your data strategy goals?
How to identify the correct Master Data subject areas & tooling for your MDM...Christopher Bradley
1. What are the different Master Data Management (MDM) architectures?
2. How can you identify the correct Master Data subject areas & tooling for your MDM initiative?
3. A reference architecture for MDM.
4. Selection criteria for MDM tooling.
chris.bradley@dmadvisors.co.uk
DAS Slides: Data Governance - Combining Data Management with Organizational ...DATAVERSITY
Data Governance is both a technical and an organizational discipline, and getting Data Governance right requires a combination of Data Management fundamentals aligned with organizational change and stakeholder buy-in. Join Nigel Turner and Donna Burbank as they provide an architecture-based approach to aligning business motivation, organizational change, Metadata Management, Data Architecture and more in a concrete, practical way to achieve success in your organization.
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace, from digital transformation to marketing, customer centricity, population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Presentation of use cases of Master Data Management for product Data. It presents the five facets of MDM for product Data (MDM for Material, MDM for Lean Managed Services, MDM for Regulated Products, Product Information Management, MDM for “Anything”) and how Talend platform for MDM can adress them
Data-Ed Slides: Best Practices in Data Stewardship (Technical)DATAVERSITY
In order to find value in your organization's data assets, heroic data stewards are tasked with saving the day- every single day! These heroes adhere to a data governance framework and work to ensure that data is: captured right the first time, validated through automated means, and integrated into business processes. Whether its data profiling or in depth root cause analysis, data stewards can be counted on to ensure the organization's mission critical data is reliable. In this webinar we will approach this framework, and punctuate important facets of a data steward’s role.
Learning Objectives:
- Understand the business need for a data governance framework
- Learn why embedded data quality principles are an important part of system/process design
- Identify opportunities to help drive your organization to a data driven culture
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
Real-World Data Governance Webinar: Data Governance Framework ComponentsDATAVERSITY
There are several basic components that go into delivering a successful and sustainable data governance program. Many of these framework items can be developed using tools you already own and without going to great expense. Organizations swear by the items that will be discussed in this webinar.
Join Bob Seiner for this month’s installment of the Real-World Data Governance series to learn about how to build and deliver immediate and future value from your Data Governance program through the delivery of items that will formalize accountability for the management of data and information assets.
Bob will discuss these core components:
Gaining Leadership’s backing and understanding
Best Practice Analysis leading to Recommended Actions
Operating Model of Roles & Responsibilities
Communications Plan to improve awareness
Action Plan / Roadmap to success
DMBOK 2.0 and other frameworks including TOGAF & COBIT - keynote from DAMA Au...Christopher Bradley
DAMA DMBoK 2.0 keynote presentation at DAMA Australia November 2013.
Overview of DMBOK, what's different in 2.0, and how the DMBOK co-exists and successfully interoperates with other frameworks such as TOGAF and COBIT
Updated with revised DMBoK 2 release date
chris.bradley@dmadvisors.co.uk
This is a slide deck that was assembled as a result of months of Project work at a Global Multinational. Collaboration with some incredibly smart people resulted in content that I wish I had come across prior to having to have assembled this.
Estrategia de datos en las organizaciones SAS Colombia
Si se ha preguntado ¿cómo los datos de su organización pueden contribuir al desarrollo de los lineamientos corporativos? La respuesta es sí: implementando una estrategia de Data Management.
Activate Data Governance Using the Data CatalogDATAVERSITY
Data Governance programs depend on the activation of data stewards that are held formally accountable for how they manage data. The data catalog is a critical tool to enable your stewards to contribute and interact with an inventory of metadata about the data definition, production, and usage. This interaction is active Data Governance in the truest sense of the word.
In this RWDG webinar, Bob Seiner will share tips and techniques focused on activating your data stewards through a data catalog. Data Governance programs that involve stewards in daily activities are more likely to demonstrate value from their data-intensive investments.
Bob will address the following in this webinar:
- A comparison of active and passive Data Governance
- What it means to have an active Data Governance program
- How a data catalog tool can be used to activate data stewards
- The role a data catalog plays in Data Governance
- The metadata in the data catalog will not govern itself
Data Governance Takes a Village (So Why is Everyone Hiding?)DATAVERSITY
Data governance represents both an obstacle and opportunity for enterprises everywhere. And many individuals may hesitate to embrace the change. Yet if led well, a governance initiative has the potential to launch a data community that drives innovation and data-driven decision-making for the wider business. (And yes, it can even be fun!). So how do you build a roadmap to success?
This session will gather four governance experts, including Mary Williams, Associate Director, Enterprise Data Governance at Exact Sciences, and Bob Seiner, author of Non-Invasive Data Governance, for a roundtable discussion about the challenges and opportunities of leading a governance initiative that people embrace. Join this webinar to learn:
- How to build an internal case for data governance and a data catalog
- Tips for picking a use case that builds confidence in your program
- How to mature your program and build your data community
How to Build & Sustain a Data Governance Operating Model DATUM LLC
Learn how to execute a data governance strategy through creation of a successful business case and operating model.
Originally presented to an audience of 400+ at the Master Data Management & Data Governance Summit.
Visit www.datumstrategy.com for more!
What has changed in DMBok V2?
We have been working with DMBoK V1 for may years and it is great to finally get to read and study the changes. Did a quikc comparison between the 2 versions.
Data Management and Data Governance are the same thing! Aren’t they? Most people would say that this line of thinking is absurd – or even worse. There is NO WAY that they are the same thing. Or are they?
Join Bob Seiner and Anthony Algmin for a lively, interactive, and entertaining discussion targeted at providing attendees ways to consider relating these two disciplines. You’ve never attended a session like this.
In this session, Bob and Anthony will discuss:
- The similarities between Data Management and Data Governance
- The differences between the two
- How to use Data Management to sell Data Governance … and the other way around
- Deciding if the two disciplines are the same … or different
Presentación de Gobierno de Datos en DAMA MéxicoRamón Hernández
Presentación del área de conocimiento de Gobierno de Datos según la 1a edición del DMBoK, la versión más reciente disponible es 2da edición, para que lo consideres cuando descargues esta presentación.
Esta presentación se dió en el año 2016 en un meetup de DAMA Capítulo México por parte de Ramón Hernández - VP de Marketing.
Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with buzzwords such as “big data,” “NoSQL,” “data scientist,” and so on. Few realize that any and all solutions to their business problems, regardless of platform or relevant technology, rely to a critical extent on the data model supporting them. As such, Data Modeling is not an optional task for an organization’s data effort, but rather a vital activity that facilitates the solutions driving your business. Since quality engineering/architecture work products do not happen accidentally, the more your organization depends on automation, the more important are the data models driving the engineering and architecture activities o
Making data based decisions makes instinctive sense, and evidence is mounting that it makes strong commercial sense too.
Whilst being aware of this kind of potential is undoubtedly valuable, knowing it and doing something about it are two very different things.
So how do you go about becoming a data driven organization?
And how does the Data Management Maturity Assessment help in achieving your data strategy goals?
How to identify the correct Master Data subject areas & tooling for your MDM...Christopher Bradley
1. What are the different Master Data Management (MDM) architectures?
2. How can you identify the correct Master Data subject areas & tooling for your MDM initiative?
3. A reference architecture for MDM.
4. Selection criteria for MDM tooling.
chris.bradley@dmadvisors.co.uk
DAS Slides: Data Governance - Combining Data Management with Organizational ...DATAVERSITY
Data Governance is both a technical and an organizational discipline, and getting Data Governance right requires a combination of Data Management fundamentals aligned with organizational change and stakeholder buy-in. Join Nigel Turner and Donna Burbank as they provide an architecture-based approach to aligning business motivation, organizational change, Metadata Management, Data Architecture and more in a concrete, practical way to achieve success in your organization.
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace, from digital transformation to marketing, customer centricity, population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Presentation of use cases of Master Data Management for product Data. It presents the five facets of MDM for product Data (MDM for Material, MDM for Lean Managed Services, MDM for Regulated Products, Product Information Management, MDM for “Anything”) and how Talend platform for MDM can adress them
Data-Ed Slides: Best Practices in Data Stewardship (Technical)DATAVERSITY
In order to find value in your organization's data assets, heroic data stewards are tasked with saving the day- every single day! These heroes adhere to a data governance framework and work to ensure that data is: captured right the first time, validated through automated means, and integrated into business processes. Whether its data profiling or in depth root cause analysis, data stewards can be counted on to ensure the organization's mission critical data is reliable. In this webinar we will approach this framework, and punctuate important facets of a data steward’s role.
Learning Objectives:
- Understand the business need for a data governance framework
- Learn why embedded data quality principles are an important part of system/process design
- Identify opportunities to help drive your organization to a data driven culture
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
Real-World Data Governance Webinar: Data Governance Framework ComponentsDATAVERSITY
There are several basic components that go into delivering a successful and sustainable data governance program. Many of these framework items can be developed using tools you already own and without going to great expense. Organizations swear by the items that will be discussed in this webinar.
Join Bob Seiner for this month’s installment of the Real-World Data Governance series to learn about how to build and deliver immediate and future value from your Data Governance program through the delivery of items that will formalize accountability for the management of data and information assets.
Bob will discuss these core components:
Gaining Leadership’s backing and understanding
Best Practice Analysis leading to Recommended Actions
Operating Model of Roles & Responsibilities
Communications Plan to improve awareness
Action Plan / Roadmap to success
RWDG Webinar: Metadata to Support Data GovernanceDATAVERSITY
Metadata is a by-product of executing and enforcing authority over the management of data. Metadata is also a by-product of formalizing accountability for the management of data. It is impossible to deliver a successful Data Governance program without it. Identifying the appropriate metadata and applying the appropriate level of governance around the metadata is a critical success factor.
In this RWDG webinar, Bob Seiner will discuss the relationship between Data Governance success and the management of metadata. Bob will share how to focus on the most important metadata to support your program and the role it plays in the demonstration of value.
This webinar will cover:
•The Relationship between Good Governance and Metadata
•Selecting the First and Right Metadata to Manage
•Using the Metadata to Support Your Program
•Using the Program to Support Your Metadata
•Building Governance Metadata into Everyday Events
RWDG Slides: Three Approaches to Data StewardshipDATAVERSITY
There are different ways to connect people with data stewardship responsibilities. You can assign people to be data stewards, identify people as data stewards or recognize people as data stewards. These approaches vary in several ways.
Join Bob Seiner for this month’s installment of the RWDG webinar series where he will compare and contrast three distinct approaches to data stewardship. The approach you select and follow will heavily influence how data governance results will be achieved.
In this webinar Bob will discuss:
- Three approaches to data stewardship
- The influence of each approach on program results
- Factors to assist in the selection of the approach to follow
- Obstacles to being successful with each approach
- Benefits of following each approach
Information Asset Registers: A Short GuideJanet Brimson
Enterprise Information Asset Registers are a powerful information management tool. Download this guide to help you create and use an Information Asset Register to locate core value in your organisation.
The Cloud's Hidden Lock-in: Network LatencyTom Croucher
Every war is different but everyone prepares for the last war. If there was one lesson to learn from the Browser & OS Wars, it’s that open APIs and data formats are not negotible. For every API there are several wrappers and compatibility layers. For every closed format there are reverse engineers waging constant guerrilla action to force it open.
Cloud computing and the Platform War it will bring is different because there are fundamental problems that you can’t code your way out of. Network latency is one of them. The poor quality of inter-cloud data exchange creates an inherent bias towards using a complete solution stack from a single vendor. This lockin is especially devilish because no one can be blamed for actively creating it, and every vendor gains by ignoring it.
Network latency is (roughly) the time it takes to send a packet of data from point A to point B, and it directly impacts the utility and cost of any distributed system. Cloud vendors put a lot of effort into reducing latency within and between their datacenters. But between vendors, data is transmitted over the open internet, where bandwidth and latency degrade considerably. So the customer is charged twice for degraded service, whereas intra-cloud data exchange is essentially free.
Thus through neglect, vendors can create lockin. If you stay within the confines of a single vendor everything is cheap and fast. If you stray outside of that vendor’s cloud everything becomes expensive and slow. It is infeasible to use (say) one vendor’s virtual hosts with another vendor’s database service—not because they are “incompatible” but because, in network terms, they are too far away. Latency reduces customers’ negotiating leverage: switching vendors becomes more of an all-or-nothing thing.
We propose that the cloud vendors work out peering agreements to establish fast and cheap communications between their datacenters. We envision these working similarly to network peering agreements which reduce the friction of sending data anywhere on the internet. There are already real-world examples of this, such as the special pipe between Joyent and Facebook for hosted Facebook Apps.
We propose that CTOs who are being wooed by cloud vendors demand interoperability not just of APIs but also in the transfer of services. Right now, before they hand over their data, CTOs hold the most leverage they will ever have. They shouldn’t budge until the latency trap is disarmed.
We will also talk about how smaller companies can minimize risk and preserve their leverage:
* Servers are cheap: have deployable copies of software ready to switch to alternate vendors. Host your development site on a separate cloud. Carlos has tips and experience on this from his work at Archivd, Spock, Terespondo (Yahoo Search Marketing), and irs.gov.
* Space is cheap: Keep continuous backups of data in three places: Cloud A, Cloud B and your office.
* Talk is cheap: demand real progress on the issue every time you talk with your vendors.
Cloud peering will also have implications for “traditional” web services. Few companies base their operations on 3rd-party web services precisely because they are slow compared to inhouse systems. On the other hand, few companies are big enough to negotiate peering directly with the web services vendors. So here’s how having lots of businesses in a Cloud can help. The cloud vendors (eg Amazon) can negotiate with the web services vendors (eg Yahoo) on a fast Amazon-Yahoo pipe, and everyone wins.
Cloud vendors are well-placed to do for web services what Content Delivery Networks (CDNs) do for images and video: bring them closer to their consumers as well as reducing the costs of the original publisher. There will be less incentive for, say, a website to maintain their own stale currency conversion tables when up-to-the-second rates are available with low latency.
The benefits don’t stop there, however. With some of the recent web
The students who have asked difficult questions, which have helped us clarify our own thinking, and the students from many countries who have provided us with interesting insights into the national and cultural differences in tourist behavior.
RWDG Webinar: The New Non-Invasive Data Governance FrameworkDATAVERSITY
Non-Invasive Data Governance is summarized as the practice of formalizing accountability for data and the application of governance to process. Non-Invasive Data Governance describes how data governance is applied to the organization rather than being forced into the environment. A NIDG framework will be introduced in this webinar.
In this month’s installment of the RWDG webinar series, Bob Seiner will present a new data governance framework that addresses the core components of data governance for each level of the organization. The resulting framework can be used for all approaches to data governance.
In this webinar Bob will discuss:
- The five core components of a data governance effort
- The five levels where the core components will be addressed
- Detailed explanation of each component for each level
- A diagram to complete the framework for your organization
- A framework comparison across approaches
Understanding the bronchiectasis prognosisSugeng Hartono
Understanding the Bronchiectasis Prognosis Now! Here!
The article below will discuss the bronchiectasis prognosis of in a complete and detailed.
Before you find out about the bronchiectasis prognosis, would be better if you also have to know some things about bronchiectasis such as epidemiology, definition, and fatofisiologi Pathogenesis, pathology, etiology and predisposing factors, clinical features, clinical manifestations, physical examination, diagnosis and treatment of bronchiectasis.
Downlight for commercial lighting application Ladislav Varga
Are you renovating or planning a commercial space.
To get out most of it contact lighting.consultant@gmail.com
OSRAM LUXPOINT® LED Downlight series have joined MACRO DIM to meet the functional yet comfortable lighting needs of commercial and public interiors. It uses a wide diffuser to cast wide beams which is available in 3,000K, 4,000K and 6,500K colour temperature. The white recessed aluminium design blends in well with typical modern suspended ceiling. OSRAM LUXPOINT® MACRO DIM is integrated with a wide-ranged dimming control for adjusting your preferred lighting conditions in any time or space. Besides, a simple screw-open clip system on the luminaire allows for safe and easy installation, which also avoids any ceiling damage during the installing or dismantling processes. Consider this downlight with 40% energy savings over higher wattage compact fluorescent alternatives.
Advantages & Benefits
– Aluminum recessed luminaire design for 3 to 4 metres ceiling height
– Comfortable lighting in 70/80 colour rendering, with reduced glare and heat emission
– Various light colour options in warm white, neutral white, daylight
– Lesser cost and time saving installation - simple screw-open clip system
– Recommend using LUXPOINT® MACRO DIM: 12 ECO type for 2 x 26W CFL, 20 ECO type for 2 x 32W CFL
Reunião de Câmara 05/11/2013 - Ponto 10Pedro Pires
CONCURSO PÚBLICO – FORNECIMENTO CONTÍNUO DE GASÓLEO RODOVIÁRIO PARA O PARQUE DE MÁQUINAS E VIATURAS DO MUNICÍPIO DE VIEIRA DO MINHO PARA O ANO DOIS MIL E CATORZE.
Moving is an important part of every person's life where they take everything but also leave behind a lot. Let's understand the Moving Trends of 2013 for the people of United States. Everything, right from odd facts, statistics to cost of moving have been included.
Real-World Data Governance: Governing Data – Big and Small, Come One Come AllDATAVERSITY
With Big Data being such a hot topic, a frequent question for panels at conferences and on webinars has been “is there any such thing as Big Data Governance?” Bob Seiner has been asked that question many times in many venues. In this webinar Bob tries to answer that question once and for all. Perhaps you will agree with him. As always, there is a strong chance you won’t.
As many organizations consider Big Data solutions they recognize that there are aspects of big data that require specific attention. Some of these management issues are the same as issues with normal size or small data. Some of these management issues differ. What are the differences and what impact do they have on the governance of that data?
Join Bob Seiner and DATAVERSITY for a Real-World Data Governance webinar focused on investigating the similarities and differences between managing and governing big data versus small data.
RWDG Webinar: A Data Governance Framework for Smart DataDATAVERSITY
Does your organization have smart data? How does your company define smart data? Smart data is data that is used in non-traditional ways such as through machine learning, through the semantic web and by taking advantage of new data opportunities such as the Internet of Thing. Businesses have embraced the importance of Big Data. Now we are being asked to embrace and govern Smart Data.
Join Bob Seiner and a Smart Data Expert for this Real-World Data Governance webinar focused on the governing the use of emerging data technologies and smart data practices as a way of maximizing the value of data in your organization. Smart data is new. Smart data will be the next Big Data. Attend this webinar to learn why Smart Data must be governed.
In the webinar, Bob and a special guest will share:
• An easy to understand definition of Smart Data
• Why you should provide a framework to govern Smart Data
• How Smart Data Governance sources differs from traditional Data Governance
• How Smart Data can and will be used in the present and future
• What it means to provide a Framework to govern Smart Data
Real-World Data Governance Webinar: Big Data Governance - What Is It and Why ...DATAVERSITY
Big Data is all the rage. Everybody is asking about Big Data, researching Big Data, considering Big Data, some are even doing Big Data. Certainly many people are asking questions about Big Data Governance. We have some answers for them.
This Real-World Data Governance webinar with Bob Seiner will focus on the strength of Big Data Governance as a concept and a practice and will highlight how the concepts of each, Big Data and Data Governance, both benefit and hurt each other.
This session will include:
Defining Big Data Governance
Ways to Govern Big Data
Making the Connection for IT and Business People
Determining the Vitality of Big Data Governance
Considerations for Big Data Governance
RWDG Slides: Master Data Governance in ActionDATAVERSITY
Master data is data essential to operations in a specific subject area. Information treated as master data varies from one subject to another and even from one company to another. However defined, one thing for certain is that it does not become master data unless it is governed.
Join Bob Seiner for this RWDG webinar where he outlines a repeatable way to activate your Data Governance program by focusing on your master data initiatives. Get people to trust your data as the “master” by implementing a formal certification process.
In this webinar, Bob will discuss:
• What makes it Master Data Governance
• Aligning roles and responsibilities with Master Data Management (MDM)
• Qualities of “governed data”
• Governing to a “master” version of the truth
• Implementing Data Governance domain by domain
RWDG Slides: Applying Governance to Business ProcessesDATAVERSITY
The most effective way to formally govern business processes is to apply governance to the process rather than redefine the entire process. This is one of the core tenets to Non-Invasive Data Governance and it assumes that your business processes are defined in the first place.
In this month’s RWDG webinar, Bob Seiner will address how to apply formal Data Governance to existing processes and how to engage governance communities when defining new business processes. There is a distinct advantage to taking the Non-Invasive Approach to apply governance to business processes and Bob will detail this advantage during this month’s webinar.
In this webinar, Bob will discuss:
The infamous (sic) “Data Governance Process”
How to apply Data Governance to process using simple tools
How to select the appropriate processes to govern
How to formalize your data processes
Advantages of governing process following the Non-Invasive Approach
Real-World Data Governance Webinar: Data Governance and Metadata Best PracticeDATAVERSITY
Best practices are defined as a method or technique that has consistently shown results superior to those achieved with other means, and that is used as a benchmark. In addition the definition goes on to say that a "best" practice can evolve to become better as improvements are discovered. A best practice can also be considered a target behavior to which you can compare your organization to deliver the actionable steps you can follow to achieve best practice.
In this Real-World Data Governance webinar, Bob Seiner focuses on defining, assessing and deploying Data Governance and metadata best practice that will move your organization in the best possible direction of success. Participants can expect to leave the webinar with a working list that can be used for self or contracted assessment.
This session will cover:
Criteria to Determine if Something is Best Practice
Development of Data Governance Best Practice
The Process to Complete the Best Practice Assessment
The Delivery of the Assessment to Management
How to Use the Assessment to Deliver Action
Data Governance to Build Data IntelligenceDATAVERSITY
Is data intelligence a real thing? How is it related to business intelligence? Isn’t the goal of every data-focused investment to become more intelligent in how we define, produce, and use data? In this webinar these questions will be answered.
Join Bob Seiner and his special guest, Dave Kellogg, for a lively discussion on using Data Governance to build data intelligence. In this webinar, they will discuss the use of the term data intelligence and determine where it fits in the Data Management industry.
In this webinar Bob and Dave will discuss:
- A definition of Data Intelligence
- The relationship between Data Governance and Data Intelligence
- Who owns data intelligence
- How data intelligence relates to other data disciplines
- Building data intelligence through Data Governance
RWDG Slides: Data Architecture Is Data GovernanceDATAVERSITY
Data Architecture and Data Governance are the same thing! Aren’t they?
Most people would say that this line of thinking is absurd — or even worse. There is NO WAY that they are the same thing. Or are they?
This RWDG webinar with Bob Seiner and his special guest Anthony Algmin looks at the disciplines of Data Governance and Data Architecture and explores how much they are the same … and how they are different. The speakers will let you draw your own conclusion, but they will get you thinking about whether Data Architecture and Data Governance are two sides of the same coin.
In this webinar, Bob and Anthony will discuss:
• What is meant by the saying two sides of the same coin … and how it relates
• The similarities between Data Architecture and Data Governance
• The differences between the two
• How to use Data Architecture to sell Data Governance … and the other way around
• Deciding if the two disciplines are the same … or different
If you define, produce, or use data as part of your job and you are held formally accountable for how you define, produce, and use the data, then you are a data steward. If that statement is true, then everybody is a data steward. Does this make your Data Governance program more complex?
Join Bob Seiner for this thought-provoking webinar that asks and answers the question, how can everybody be a data steward? His approach to Data Stewardship will at the same time make your program less invasive to deliver and add a touch of complexity when it is recognized that the governance of data involves everybody in the organization.
In this webinar, Bob will talk about:
- Defining the levels and roles of data stewards
- What the term “formalized accountability” means
- How to handle the complexity of everybody being a data steward
- The complete coverage that is deployed by this approach
- How to “get over” everybody being a data steward
Data Governance and Data Science to Improve Data QualityDATAVERSITY
Data Science uses systematic methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Data Science requires high-quality data that is trusted by the organization and data scientists. Many organizations focus their Data Governance programs on improving Data Quality results. These three concepts (governance, science, and quality) seem to be made for each other.
In this RWDG webinar, Bob Seiner and his special guest will discuss how the people focusing on Data Governance and Data Science must work together to improve the level of confidence the organization has in its most critical data assets. Heavy investments are being made in Data Science but not so much for Data Governance. Bob will talk about how Data Governance and Data Science must work together to improve Data Quality.
Data Governance Trends - A Look Backwards and ForwardsDATAVERSITY
As DATAVERSITY’s RWDG series hurdles into our 12th year, this webinar takes a quick look behind us, evaluates the present, and predicts the future of Data Governance. Based on webinar numbers, hot Data Governance topics have evolved over the years from policies and best practices, roles and tools, data catalogs and frameworks, to supporting data mesh and fabric, artificial intelligence, virtualization, literacy, and metadata governance.
Join Bob Seiner as he reflects on the past and what has and has not worked, while sharing examples of enterprise successes and struggles. In this webinar, Bob will challenge the audience to stay a step ahead by learning from the past and blazing a new trail into the future of Data Governance.
In this webinar, Bob will focus on:
- Data Governance’s past, present, and future
- How trials and tribulations evolve to success
- Leveraging lessons learned to improve productivity
- The great Data Governance tool explosion
- The future of Data Governance
How to Implement Data Governance Best PracticeDATAVERSITY
Data Governance Best Practice is defined as basis and guidelines for suggested governing activities. Organizations define best practices to be used as a point of comparison when determining their readiness, willingness and actions necessary to put a Data Governance program in place. But what are the best practices and how can they be implemented? This webinar will address these questions and more.
In this RWDG webinar, Bob Seiner will talk about how to create, validate, assess and implement Data Governance Best Practice with immediate impact on present and future Data Governance activities. The result of a Best Practice assessment is a thorough actionable plan focused on demonstrating value from your Data Governance program.This webinar will cover:
• Two Criteria for Data Governance Best Practice Development
• How to Assess against Best Practice to Build Program Success
• Examples of Industry Selected DG Best Practice
• How to Communicate DG Best Practice in a Non-Threatening Way
• How to Build DG Best Practice into Daily Operations
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...DATAVERSITY
Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning. They need a comprehensive platform designed to address multi-faceted needs by offering multi-function data management and analytics to solve the enterprise’s most pressing data and analytic challenges in a streamlined fashion.
In this research-based session, I’ll discuss what the components are in multiple modern enterprise analytics stacks (i.e., dedicated compute, storage, data integration, streaming, etc.) and focus on total cost of ownership.
A complete machine learning infrastructure cost for the first modern use case at a midsize to large enterprise will be anywhere from $3 million to $22 million. Get this data point as you take the next steps on your journey into the highest spend and return item for most companies in the next several years.
Data at the Speed of Business with Data Mastering and GovernanceDATAVERSITY
Do you ever wonder how data-driven organizations fuel analytics, improve customer experience, and accelerate business productivity? They are successful by governing and mastering data effectively so they can get trusted data to those who need it faster. Efficient data discovery, mastering and democratization is critical for swiftly linking accurate data with business consumers. When business teams can quickly and easily locate, interpret, trust, and apply data assets to support sound business judgment, it takes less time to see value.
Join data mastering and data governance experts from Informatica—plus a real-world organization empowering trusted data for analytics—for a lively panel discussion. You’ll hear more about how a single cloud-native approach can help global businesses in any economy create more value—faster, more reliably, and with more confidence—by making data management and governance easier to implement.
What is data literacy? Which organizations, and which workers in those organizations, need to be data-literate? There are seemingly hundreds of definitions of data literacy, along with almost as many opinions about how to achieve it.
In a broader perspective, companies must consider whether data literacy is an isolated goal or one component of a broader learning strategy to address skill deficits. How does data literacy compare to other types of skills or “literacy” such as business acumen?
This session will position data literacy in the context of other worker skills as a framework for understanding how and where it fits and how to advocate for its importance.
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation, to marketing, to customer centricity, to population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Uncover how your business can save money and find new revenue streams.
Driving profitability is a top priority for companies globally, especially in uncertain economic times. It's imperative that companies reimagine growth strategies and improve process efficiencies to help cut costs and drive revenue – but how?
By leveraging data-driven strategies layered with artificial intelligence, companies can achieve untapped potential and help their businesses save money and drive profitability.
In this webinar, you'll learn:
- How your company can leverage data and AI to reduce spending and costs
- Ways you can monetize data and AI and uncover new growth strategies
- How different companies have implemented these strategies to achieve cost optimization benefits
Data Catalogs Are the Answer – What is the Question?DATAVERSITY
Organizations with governed metadata made available through their data catalog can answer questions their people have about the organization’s data. These organizations get more value from their data, protect their data better, gain improved ROI from data-centric projects and programs, and have more confidence in their most strategic data.
Join Bob Seiner for this lively webinar where he will talk about the value of a data catalog and how to build the use of the catalog into your stewards’ daily routines. Bob will share how the tool must be positioned for success and viewed as a must-have resource that is a steppingstone and catalyst to governed data across the organization.
Data Catalogs Are the Answer – What Is the Question?DATAVERSITY
Organizations with governed metadata made available through their data catalog can answer questions their people have about the organization’s data. These organizations get more value from their data, protect their data better, gain improved ROI from data-centric projects and programs, and have more confidence in their most strategic data.
Join Bob Seiner for this lively webinar where he will talk about the value of a data catalog and how to build the use of the catalog into your stewards’ daily routines. Bob will share how the tool must be positioned for success and viewed as a must-have resource that is a steppingstone and catalyst to governed data across the organization.
In this webinar, Bob will focus on:
-Selecting the appropriate metadata to govern
-The business and technical value of a data catalog
-Building the catalog into people’s routines
-Positioning the data catalog for success
-Questions the data catalog can answer
Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with buzzwords: “Big Data,” “NoSQL,” “Data Scientist,” and so on. Few realize that all solutions to their business problems, regardless of platform or relevant technology, rely to a critical extent on the data model supporting them. As such, data modeling is not an optional task for an organization’s data effort, but rather a vital activity that facilitates the solutions driving your business. Since quality engineering/architecture work products do not happen accidentally, the more your organization depends on automation, the more important the data models driving the engineering and architecture activities of your organization. This webinar illustrates data modeling as a key activity upon which so much technology and business investment depends.
Specific learning objectives include:
- Understanding what types of challenges require data modeling to be part of the solution
- How automation requires standardization on derivable via data modeling techniques
- Why only a working partnership between data and the business can produce useful outcomes
Analytics play a critical role in supporting strategic business initiatives. Despite the obvious value to analytic professionals of providing the analytics for these initiatives, many executives question the economic return of analytics as well as data lakes, machine learning, master data management, and the like.
Technology professionals need to calculate and present business value in terms business executives can understand. Unfortunately, most IT professionals lack the knowledge required to develop comprehensive cost-benefit analyses and return on investment (ROI) measurements.
This session provides a framework to help technology professionals research, measure, and present the economic value of a proposed or existing analytics initiative, no matter the form that the business benefit arises. The session will provide practical advice about how to calculate ROI and the formulas, and how to collect the necessary information.
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.
Enterprise data literacy. A worthy objective? Certainly! A realistic goal? That remains to be seen. As companies consider investing in data literacy education, questions arise about its value and purpose. While the destination – having a data-fluent workforce – is attractive, we wonder how (and if) we can get there.
Kicking off this webinar series, we begin with a panel discussion to explore the landscape of literacy, including expert positions and results from focus groups:
- why it matters,
- what it means,
- what gets in the way,
- who needs it (and how much they need),
- what companies believe it will accomplish.
In this engaging discussion about literacy, we will set the stage for future webinars to answer specific questions and feature successful literacy efforts.
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...DATAVERSITY
Change is hard, especially in response to negative stimuli or what is perceived as negative stimuli. So organizations need to reframe how they think about data privacy, security and governance, treating them as value centers to 1) ensure enterprise data can flow where it needs to, 2) prevent – not just react – to internal and external threats, and 3) comply with data privacy and security regulations.
Working together, these roles can accelerate faster access to approved, relevant and higher quality data – and that means more successful use cases, faster speed to insights, and better business outcomes. However, both new information and tools are required to make the shift from defense to offense, reducing data drama while increasing its value.
Join us for this panel discussion with experts in these fields as they discuss:
- Recent research about where data privacy, security and governance stand
- The most valuable enterprise data use cases
- The common obstacles to data value creation
- New approaches to data privacy, security and governance
- Their advice on how to shift from a reactive to resilient mindset/culture/organization
You’ll be educated, entertained and inspired by this panel and their expertise in using the data trifecta to innovate more often, operate more efficiently, and differentiate more strategically.
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.
Data Governance Trends and Best Practices To Implement TodayDATAVERSITY
Would you share your bank account information on social media? How about shouting your social security number on the New York City subway? We didn’t think so either – that’s why data governance is consistently top of mind.
In this webinar, we’ll discuss the common Cloud data governance best practices – and how to apply them today. Join us to uncover Google Cloud’s investment in data governance and learn practical and doable methods around key management and confidential computing. Hear real customer experiences and leave with insights that you can share with your team. Let’s get solving.
Topics that you will hear addressed in this webinar:
- Understanding the basics of Cloud Incident Response (IR) and anticipated data governance trends
- Best practices for key management and apply data governance to your day-to-day
- The next wave of Confidential Computing and how to get started, including a demo
It is a fascinating, explosive time for enterprise analytics.
It is from the position of analytics leadership that the enterprise mission will be executed and company leadership will emerge. The data professional is absolutely sitting on the performance of the company in this information economy and has an obligation to demonstrate the possibilities and originate the architecture, data, and projects that will deliver analytics. After all, no matter what business you’re in, you’re in the business of analytics.
The coming years will be full of big changes in enterprise analytics and data architecture. William will kick off the fifth year of the Advanced Analytics series with a discussion of the trends winning organizations should build into their plans, expectations, vision, and awareness now.
Too often I hear the question “Can you help me with our data strategy?” Unfortunately, for most, this is the wrong request because it focuses on the least valuable component: the data strategy itself. A more useful request is: “Can you help me apply data strategically?” Yes, at early maturity phases the process of developing strategic thinking about data is more important than the actual product! Trying to write a good (must less perfect) data strategy on the first attempt is generally not productive –particularly given the widespread acceptance of Mike Tyson’s truism: “Everybody has a plan until they get punched in the face.” This program refocuses efforts on learning how to iteratively improve the way data is strategically applied. This will permit data-based strategy components to keep up with agile, evolving organizational strategies. It also contributes to three primary organizational data goals. Learn how to improve the following:
- Your organization’s data
- The way your people use data
- The way your people use data to achieve your organizational strategy
This will help in ways never imagined. Data are your sole non-depletable, non-degradable, durable strategic assets, and they are pervasively shared across every organizational area. Addressing existing challenges programmatically includes overcoming necessary but insufficient prerequisites and developing a disciplined, repeatable means of improving business objectives. This process (based on the theory of constraints) is where the strategic data work really occurs as organizations identify prioritized areas where better assets, literacy, and support (data strategy components) can help an organization better achieve specific strategic objectives. Then the process becomes lather, rinse, and repeat. Several complementary concepts are also covered, including:
- A cohesive argument for why data strategy is necessary for effective data governance
- An overview of prerequisites for effective strategic use of data strategy, as well as common pitfalls
- A repeatable process for identifying and removing data constraints
- The importance of balancing business operation and innovation
Who Should Own Data Governance – IT or Business?DATAVERSITY
The question is asked all the time: “What part of the organization should own your Data Governance program?” The typical answers are “the business” and “IT (information technology).” Another answer to that question is “Yes.” The program must be owned and reside somewhere in the organization. You may ask yourself if there is a correct answer to the question.
Join this new RWDG webinar with Bob Seiner where Bob will answer the question that is the title of this webinar. Determining ownership of Data Governance is a vital first step. Figuring out the appropriate part of the organization to manage the program is an important second step. This webinar will help you address these questions and more.
In this session Bob will share:
- What is meant by “the business” when it comes to owning Data Governance
- Why some people say that Data Governance in IT is destined to fail
- Examples of IT positioned Data Governance success
- Considerations for answering the question in your organization
- The final answer to the question of who should own Data Governance
It is clear that Data Management best practices exist and so does a useful process for improving existing Data Management practices. The question arises: Since we understand the goal, how does one design a process for Data Management goal achievement? This program describes what must be done at the programmatic level to achieve better data use and a way to implement this as part of your data program. The approach combines DMBoK content and CMMI/DMM processes – permitting organizations with the opportunity to benefit from the best of both. It also permits organizations to understand:
- Their current Data Management practices
- Strengths that should be leveraged
- Remediation opportunities
MLOps – Applying DevOps to Competitive AdvantageDATAVERSITY
MLOps is a practice for collaboration between Data Science and operations to manage the production machine learning (ML) lifecycles. As an amalgamation of “machine learning” and “operations,” MLOps applies DevOps principles to ML delivery, enabling the delivery of ML-based innovation at scale to result in:
Faster time to market of ML-based solutions
More rapid rate of experimentation, driving innovation
Assurance of quality, trustworthiness, and ethical AI
MLOps is essential for scaling ML. Without it, enterprises risk struggling with costly overhead and stalled progress. Several vendors have emerged with offerings to support MLOps: the major offerings are Microsoft Azure ML and Google Vertex AI. We looked at these offerings from the perspective of enterprise features and time-to-value.
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...DATAVERSITY
With the explosive growth of DataOps to drive faster and more confident business decisions, proactively understanding the quality and health of your data is more important than ever. Data observability is an emerging discipline within data quality used to expose anomalies in data by continuously monitoring and testing data using artificial intelligence and machine learning to trigger alerts when issues are discovered.
Join Julie Skeen and Shalaish Koul from Precisely, to learn how data observability can be used as part of a DataOps strategy to improve data quality and reliability and to prevent data issues from wreaking havoc on your analytics and ensure that your organization can confidently rely on the data used for advanced analytics and business intelligence.
Topics you will hear addressed in this webinar:
Data observability – what is it and how it can complement your data quality strategy
Why now is the time to incorporate data observability into your DataOps strategy
How data observability helps prevent data issues from impacting downstream analytics
Examples of how data observability can be used to prevent real-world issues
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.
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.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
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.
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.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
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.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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!
Robert S. Seiner KIK Consulting & Educational Services, LLC The Data Administration Newsletter, LLC Post Office Box 112571 Upper St. Clair, Pennsylvania, USA 15241 412.220.9643 Office 412.220.9644 Fax