The importance of capturing metadata has been a topic of many webinars, teleconferences, and white papers over the last several years. There’s has also been an increasing emphasis on “building metadata repositories”.
a brief overview and introduction to metadata from how it is used on the web (including seo and tagging) to its use in Flickr and library catalogs by robin fay, georgiawebgurl@gmail.com.
meta360 - enterprise data governance and metadata managementBojana Ciric
meta360 is an enterprise scale, industry agnostic, the state-of-the-art data governance and metadata management tool which provides an easy way to collect and manage all relevant business and technical metadata from your enterprise data environment, as well as powerful visualization capabilities to easily navigate through metadata content and use the information on the most effective way. meta360 is industry agnostic and can be used as a key component in various data management initiatives, including, but not limited to: data governance,data lineage, metadata management, data quality, MDM, data integration, analytics, etc.
Features:
1) Innovative, matured and proven approach for data governance operationalization
2)Industry agnostic, can be used in various industries (FSI, communications, life science, etc.)
3)Easy to implement – up and running within 6 weeks, even for the large organizations
4)Cloud based (Amazon Cloud) – significantly reduces operational costs
5)Easy content contribution – CSV and JSON file import, manual entry (can be used as primary tool for particular concept types)
6)Exceptional user experience – visually attractive and easy-to-use for both, business and technical users.
6)Responsive, works on all devices
7)meta 360 is built by using MEAN stack
Applying Digital Library Metadata StandardsJenn Riley
Riley, Jenn. "Applying Digital Library Metadata Standards." Presentation sponsored by the Private Academic Library Network of Indiana (PALNI), May 9, 2006.
a brief overview and introduction to metadata from how it is used on the web (including seo and tagging) to its use in Flickr and library catalogs by robin fay, georgiawebgurl@gmail.com.
meta360 - enterprise data governance and metadata managementBojana Ciric
meta360 is an enterprise scale, industry agnostic, the state-of-the-art data governance and metadata management tool which provides an easy way to collect and manage all relevant business and technical metadata from your enterprise data environment, as well as powerful visualization capabilities to easily navigate through metadata content and use the information on the most effective way. meta360 is industry agnostic and can be used as a key component in various data management initiatives, including, but not limited to: data governance,data lineage, metadata management, data quality, MDM, data integration, analytics, etc.
Features:
1) Innovative, matured and proven approach for data governance operationalization
2)Industry agnostic, can be used in various industries (FSI, communications, life science, etc.)
3)Easy to implement – up and running within 6 weeks, even for the large organizations
4)Cloud based (Amazon Cloud) – significantly reduces operational costs
5)Easy content contribution – CSV and JSON file import, manual entry (can be used as primary tool for particular concept types)
6)Exceptional user experience – visually attractive and easy-to-use for both, business and technical users.
6)Responsive, works on all devices
7)meta 360 is built by using MEAN stack
Applying Digital Library Metadata StandardsJenn Riley
Riley, Jenn. "Applying Digital Library Metadata Standards." Presentation sponsored by the Private Academic Library Network of Indiana (PALNI), May 9, 2006.
An overview of the benefits of using both taxonomies and metadata to make your information easier to search. Presentation by Alice Redmond-Neal of Access Innovations, Inc.
Good metadata is critical to helping people find information. Metadata can be used to enhance search tools, drive navigation and relate documents to one another. Unfortunately, manually adding metadata to content is cumbersome for small batches of content and impractical or impossible for large content sets.
Enterprise Knowledge understands the difficulty and importance of maintaining metadata. In this session, we will share 6 different ways to simplify and/or automate metadata management even on extremely large content sets. We will share the tools and techniques we have used with our clients to make metadata management possible and provide real world examples as to how these techniques can be applied to your content.
Presentation delivered by Ludo Hendrickx and Joris Beek on 11 December 2013 Dutch at the Ministry of Interior, The Hague, The Netherlands. More information on: https://joinup.ec.europa.eu/community/ods/description
Information and Integration Management VisionColin Bell
The vision of the Information and Integration Management team at the University of Waterloo captured on a single 'poster' page. Covers: Data Management Environment, Mission + Vision, Information Asset Base, Information Lifecycle, Document Management, Metadata/Meaning, Integration Platform, and Innovation Platform.
Enterprise Master Data Architecture: Design Decisions and OptionsBoris Otto
The enterprise-wide management of master data is a prerequisite for companies to meet strategic business
requirements such as compliance to regulatory requirements, integrated customer management, and global business process integration. Among others, this demands systematic design of the enterprise master data architecture. The current state-of-the-art, however, does not provide sufficient guidance for practitioners as it does not specify concrete design decisions they have to make and to the design options of which they can choose with regard to the master data architecture. This paper aims at contributing to this gap. It reports on the findings of three case studies and uses morphological analysis to structure design decisions and options for the management of an enterprise master data architecture.
Presentation by Luiz Olavo Bonino about the current state of the developments on FAIR Data supporting tools at the Dutch Techcentre for Life Sciences Partners Event on November 3-4 2016.
This presentation elaborates on design decisions and design options when it comes to designing the master data architecture.
The presentation was given at the 16th Americas Conference on Information Systems (AMCIS 2010) in Lima, Peru.
Jena based implementation of a iso 11179 meta data registryA. Anil Sinaci
The ISO/IEC 11179 family of specifications introduces a standard model for meta-data registries to increase the interoperability of applications with the use of common data elements. Jena based implementation of a standard meta-data registry, brings semantic processing and reasoning capabilities on top of the common data elements and their consumer applications.
About the Webinar
In May 2012, the Library of Congress announced a new modeling initiative focused on reflecting the MARC 21 library standard as a Linked Data model for the Web, with an initial model to be proposed by the consulting company Zepheira. The goal of the initiative is to translate the MARC 21 format to a Linked Data model while retaining the richness and benefits of existing data in the historical format.
In this webinar, Eric Miller of Zepheira will report on progress towards this important goal, starting with an analysis of the translation problem and concluding with potential migration scenarios for a broad-based transition from MARC to a new bibliographic framework.
An overview of the benefits of using both taxonomies and metadata to make your information easier to search. Presentation by Alice Redmond-Neal of Access Innovations, Inc.
Good metadata is critical to helping people find information. Metadata can be used to enhance search tools, drive navigation and relate documents to one another. Unfortunately, manually adding metadata to content is cumbersome for small batches of content and impractical or impossible for large content sets.
Enterprise Knowledge understands the difficulty and importance of maintaining metadata. In this session, we will share 6 different ways to simplify and/or automate metadata management even on extremely large content sets. We will share the tools and techniques we have used with our clients to make metadata management possible and provide real world examples as to how these techniques can be applied to your content.
Presentation delivered by Ludo Hendrickx and Joris Beek on 11 December 2013 Dutch at the Ministry of Interior, The Hague, The Netherlands. More information on: https://joinup.ec.europa.eu/community/ods/description
Information and Integration Management VisionColin Bell
The vision of the Information and Integration Management team at the University of Waterloo captured on a single 'poster' page. Covers: Data Management Environment, Mission + Vision, Information Asset Base, Information Lifecycle, Document Management, Metadata/Meaning, Integration Platform, and Innovation Platform.
Enterprise Master Data Architecture: Design Decisions and OptionsBoris Otto
The enterprise-wide management of master data is a prerequisite for companies to meet strategic business
requirements such as compliance to regulatory requirements, integrated customer management, and global business process integration. Among others, this demands systematic design of the enterprise master data architecture. The current state-of-the-art, however, does not provide sufficient guidance for practitioners as it does not specify concrete design decisions they have to make and to the design options of which they can choose with regard to the master data architecture. This paper aims at contributing to this gap. It reports on the findings of three case studies and uses morphological analysis to structure design decisions and options for the management of an enterprise master data architecture.
Presentation by Luiz Olavo Bonino about the current state of the developments on FAIR Data supporting tools at the Dutch Techcentre for Life Sciences Partners Event on November 3-4 2016.
This presentation elaborates on design decisions and design options when it comes to designing the master data architecture.
The presentation was given at the 16th Americas Conference on Information Systems (AMCIS 2010) in Lima, Peru.
Jena based implementation of a iso 11179 meta data registryA. Anil Sinaci
The ISO/IEC 11179 family of specifications introduces a standard model for meta-data registries to increase the interoperability of applications with the use of common data elements. Jena based implementation of a standard meta-data registry, brings semantic processing and reasoning capabilities on top of the common data elements and their consumer applications.
About the Webinar
In May 2012, the Library of Congress announced a new modeling initiative focused on reflecting the MARC 21 library standard as a Linked Data model for the Web, with an initial model to be proposed by the consulting company Zepheira. The goal of the initiative is to translate the MARC 21 format to a Linked Data model while retaining the richness and benefits of existing data in the historical format.
In this webinar, Eric Miller of Zepheira will report on progress towards this important goal, starting with an analysis of the translation problem and concluding with potential migration scenarios for a broad-based transition from MARC to a new bibliographic framework.
Open data is a crucial prerequisite for inventing and disseminating the innovative practices needed for agricultural development. To be usable, data must not just be open in principle—i.e., covered by licenses that allow re-use. Data must also be published in a technical form that allows it to be integrated into a wide range of applications. The webinar will be of interest to any institution seeking ways to publish and curate data in the Linked Data cloud.
This webinar describes the technical solutions adopted by a widely diverse global network of agricultural research institutes for publishing research results. The talk focuses on AGRIS, a central and widely-used resource linking agricultural datasets for easy consumption, and AgriDrupal, an adaptation of the popular, open-source content management system Drupal optimized for producing and consuming linked datasets.
Agricultural research institutes in developing countries share many of the constraints faced by libraries and other documentation centers, and not just in developing countries: institutions are expected to expose their information on the Web in a re-usable form with shoestring budgets and with technical staff working in local languages and continually lured by higher-paying work in the private sector. Technical solutions must be easy to adopt and freely available.
Libraries around the world have a long tradition of maintaining authority files to assure the consistent presentation and indexing of names. As library authority files have become available online, the authority data has become accessible -- and many have been published as Linked Open Data (LOD) -- but names in one library authority file typically had no link to corresponding records for persons and organizations in other library authority files. After a successful experiment in matching the Library of Congress/NACO authority file with the German National Library's authority file, an online system called the Virtual International Authority File was developed to facilitate sharing by ingesting, matching, and displaying the relations between records in multiple authority files.
The Virtual International Authority File (VIAF) has grown from three source files in 2007 to more than two dozen files today. The system harvests authority records, enhances them with bibliographic information and brings them together into clusters when it is confident the records describe the same identity. Although the most visible part of VIAF is a HTML interface, the API beneath it supports a linked data view of VIAF with URIs representing the identities themselves, not just URIs for the clusters. It supports names for person, corporations, geographic entities, works, and expressions. With English, French, German, Spanish interfaces (and a Japanese in process), the system is used around the world, with over a million queries per day.
Speaker
Thomas Hickey is Chief Scientist at OCLC where he helped found OCLC Research. Current interests include metadata creation and editing systems, authority control, parallel systems for bibliographic processing, and information retrieval and display. In addition to implementing VIAF, his group looks into exploring Web access to metadata, identification of FRBR works and expressions in WorldCat, the algorithmic creation of authorities, and the characterization of collections. He has an undergraduate degree in Physics and a Ph.D. in Library and Information Science.
As described in the April NISO/DCMI webinar by Dan Brickley, schema.org is a search-engine initiative aimed at helping webmasters use structured data markup to improve the discovery and display of search results. Drupal 7 makes it easy to markup HTML pages with schema.org terms, allowing users to quickly build websites with structured data that can be understood by Google and displayed as Rich Snippets.
Improved search results are only part of the story, however. Data-bearing documents become machine-processable once you find them. The subject matter, important facts, calendar events, authorship, licensing, and whatever else you might like to share become there for the taking. Sales reports, RSS feeds, industry analysis, maps, diagrams and process artifacts can now connect back to other data sets to provide linkage to context and related content. The key to this is the adoption standards for both the data model (RDF) and the means of weaving it into documents (RDFa). Drupal 7 has become the leading content platform to adopt these standards.
This webinar will describe how RDFa and Drupal 7 can improve how organizations publish information and data on the Web for both internal and external consumption. It will discuss what is required to use these features and how they impact publication workflow. The talk will focus on high-level and accessible demonstrations of what is possible. Technical people should learn how to proceed while non-technical people will learn what is possible.
As described in the April NISO/DCMI webinar by Dan Brickley, schema.org is a search-engine initiative aimed at helping webmasters use structured data markup to improve the discovery and display of search results. Drupal 7 makes it easy to markup HTML pages with schema.org terms, allowing users to quickly build websites with structured data that can be understood by Google and displayed as Rich Snippets.
Improved search results are only part of the story, however. Data-bearing documents become machine-processable once you find them. The subject matter, important facts, calendar events, authorship, licensing, and whatever else you might like to share become there for the taking. Sales reports, RSS feeds, industry analysis, maps, diagrams and process artifacts can now connect back to other data sets to provide linkage to context and related content. The key to this is the adoption standards for both the data model (RDF) and the means of weaving it into documents (RDFa). Drupal 7 has become the leading content platform to adopt these standards.
This webinar will describe how RDFa and Drupal 7 can improve how organizations publish information and data on the Web for both internal and external consumption. It will discuss what is required to use these features and how they impact publication workflow. The talk will focus on high-level and accessible demonstrations of what is possible. Technical people should learn how to proceed while non-technical people will learn what is possible.
This paper presents an overview of best practices and techniques for enabling data discovery at an enterprise scale. The paper is based on real world experience implementing this type of solutions for Global 2000 companies.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Running head Database and Data Warehousing design1Database and.docxhealdkathaleen
Running head: Database and Data Warehousing design 1
Database and Data Warehousing Design 3
Database and Data Warehousing Design
Thien Thai
CIS599
Professor Wade M. Poole
Strayer University
Feb 20, 2020
Database and Data Warehousing Design
Introduction
Technology has highly revolutionized the world of business –hence presenting more challenges and opportunities for businesses. Companies which fail to embrace and incorporate technology in their operations risks being edged out of the market due to stiff competition witnessed in the market today. On the flipside, cloud-based technology allows businesses to “easily retrieve and store valuable data about their customers, products, and employees.” Data is an important component that help to support core business decisions. In today’s highly competitive and constantly evolving business world, embracing cloud-based technology business managers an opportunity to make informed and result-oriented decisions regarding day-to-day organizational operations (Dimitriu & Matei, 2015).
Notably, business growth and competitiveness depends on its ability to transform data into information. Data warehousing and adoption of relational databases are some of cloud-based technologies which have positively impacted on businesses. The two technologies have had a strategic value to companies –helping them to have the extra edge over their competitors. Both data warehousing and relational databases help businesses to “take smart decisions in a smarter manner.” However, failure to adopt these cloud-based technologies has hindered business executives’ ability to make experienced-based and fact-based decisions which are vital to business survival. Both “databases and data warehouses are relational data systems” which serve different and equally crucial roles within an organization. For instance, data warehousing helps to support management decisions while relational databases help to perform ongoing business transactions in real-time. Basically, embracing cloud-based technologies within the organization will help to give the company a competitive advantage in the market. However, the adoption and maintenance of such technologies require full support and endorsement of the business management. Organizational management must understand the feasibility, functionality, and the importance of embracing such technologies. Movement towards relational databases and data warehousing requires a lot of funding –hence the need to convince the management to support and fund them. This paper seeks to explore the concepts of data warehousing, relational databases, their importance to the business, as whey as their design.
“Importance of Data Warehousing and Relational Databases”
Today, technology has changed the market landscape. Business are striving to adopt cloud-based technology in order to improve efficiency in business functions –among them analytical queries as well as transactional operations. Both relational databases a ...
Running head Database and Data Warehousing design1Database and.docxtodd271
Running head: Database and Data Warehousing design 1
Database and Data Warehousing Design 3
Database and Data Warehousing Design
Thien Thai
CIS599
Professor Wade M. Poole
Strayer University
Feb 20, 2020
Database and Data Warehousing Design
Introduction
Technology has highly revolutionized the world of business –hence presenting more challenges and opportunities for businesses. Companies which fail to embrace and incorporate technology in their operations risks being edged out of the market due to stiff competition witnessed in the market today. On the flipside, cloud-based technology allows businesses to “easily retrieve and store valuable data about their customers, products, and employees.” Data is an important component that help to support core business decisions. In today’s highly competitive and constantly evolving business world, embracing cloud-based technology business managers an opportunity to make informed and result-oriented decisions regarding day-to-day organizational operations (Dimitriu & Matei, 2015).
Notably, business growth and competitiveness depends on its ability to transform data into information. Data warehousing and adoption of relational databases are some of cloud-based technologies which have positively impacted on businesses. The two technologies have had a strategic value to companies –helping them to have the extra edge over their competitors. Both data warehousing and relational databases help businesses to “take smart decisions in a smarter manner.” However, failure to adopt these cloud-based technologies has hindered business executives’ ability to make experienced-based and fact-based decisions which are vital to business survival. Both “databases and data warehouses are relational data systems” which serve different and equally crucial roles within an organization. For instance, data warehousing helps to support management decisions while relational databases help to perform ongoing business transactions in real-time. Basically, embracing cloud-based technologies within the organization will help to give the company a competitive advantage in the market. However, the adoption and maintenance of such technologies require full support and endorsement of the business management. Organizational management must understand the feasibility, functionality, and the importance of embracing such technologies. Movement towards relational databases and data warehousing requires a lot of funding –hence the need to convince the management to support and fund them. This paper seeks to explore the concepts of data warehousing, relational databases, their importance to the business, as whey as their design.
“Importance of Data Warehousing and Relational Databases”
Today, technology has changed the market landscape. Business are striving to adopt cloud-based technology in order to improve efficiency in business functions –among them analytical queries as well as transactional operations. Both relational databases a.
Data Quality in Data Warehouse and Business Intelligence Environments - Disc...Alan D. Duncan
Time and again, we hear about the failure of data warehouses – while things may be improving, they’re moving only slowly. One explanation data quality being overlooked is that the I.T. department is often responsible for delivering and operating the DWH/BI
environment. What ensues ends up being an agenda based on “how do we build it”, not a “why are we doing this”. This needs to change. In this discussion paper, I explore the issues of data quality in data warehouse, business intelligence and analytic environments, and propose an approach based on "Data Quality by Design"
Governance and Architecture in Data IntegrationAnalytiX DS
AnalytiX™ Mapping Manager™ provides this discipline and rigor through its dedicated data mapping methodology as well as its metadata management processes and powerful patented mapping technology. AnalytiX™ Mapping Manager™ was designed and developed to not only fill the gap of having the ability to manage and version mapping specifications, but to also streamline and improve current process and drive standards around the entire process and across the enterprise for all integration and governance processes.
Good systems development often depends on multiple data management disciplines. One of these is metadata. While much of the discussion around metadata focuses on understanding metadata itself along with associated technologies, this comprehensive issue often represents a typical tool-and-technology focus, which has not achieved significant results. A more relevant question when considering pockets of metadata is whether to include them in the scope of organizational metadata practices. By understanding metadata practices, you can begin to build systems that allow you to exercise sophisticated data management techniques and support business initiatives.
Learning Objectives:
How to leverage metadata in support of your business strategy
Understanding foundational metadata concepts based on the DAMA DMBOK
Guiding principles & lessons learned
This is the first of a series of papers published by Data Management & Warehousing to look at the implementation of Enterprise Data Warehouse solutions in large organisations using a design pattern approach. A design pattern provides a generic approach, rather than a specific solution. It describes the steps that architecture, design and build teams will have to go through in order to implement a data warehouse successfully within their business.
This particular document looks at what an organisation will need in order to build and operate an enterprise data warehouse in terms of the following:
• The framework architecture
What components are needed to build a data warehouse, and how do they fit
together?
• The toolsets
What types of products and skills will be used to develop a system?
• The documentation
How do you capture requirements, perform analysis and track changes in scope of a
typical data warehouse project?
This document is, however, an overview and therefore subsequent white papers deal with specific issues in detail.
White Paper - The Business Case For Business IntelligenceDavid Walker
This white paper looks at the business case that should lie behind the decision to build a data warehouse and provide a business intelligence solution.
There are three primary drivers for making the investment in a business intelligence solution
1. Measurement and management of the business process
2. Analysis of why things change in the business in order to react better in the future
3. Providing information for stakeholders
As a consequence of the investment there will also be a number of secondary benefits that will help to justify the investment and these are also discussed. Finally there are a number of ‘anti-drivers’ – reasons for not embarking on a business intelligence programme.
IRM Data Governance Conference February 2009, London. Presentation given on the Data Governance challenges being faced by BP and the approaches to address them.
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Replay and more: https://blogs.embarcadero.com/pytorch-for-delphi-with-the-python-data-sciences-libraries/
The next installment of the Embarcadero Open Source Live Stream takes a look at the Delphi side of the Python Ecosystem with the new Python Data Sciences Libraries and related projects that make it super easy write Delphi code against Python libraries and easily deploy on Windows, Linux, MacOS, and Android. Specific examples with the Python Natural Language Toolkit and PyTorch, the library that powers projects like Tesla Autopilot, Uber's Pyro, Hugging Face's Transformers.
This is part of a series of regular live streams discussing the latest in Embarcadero open source projects. Hosted by Jim McKeeth and joined by members of the community and developers involved in these open source projects, as well as members of Embarcadero and Idera’s Product Management. A great opportunity to see behind the scenes and help shape the future of Embarcadero’s Open Source projects.
Android on Windows 11 - A Developer's Perspective (Windows Subsystem For Andr...Embarcadero Technologies
The Windows Subsystem for Android (WSA) brings native Android applications to the Windows 11 desktop. Learn how to set up and configure Windows Subsystem for Android for use in software development. See what is required to run WSA as well as what is required to target it from your Android development. Windows Subsystem for Android is available for public preview on Windows 11.
Webinar replay and more: https://blogs.embarcadero.com/?p=134192
for Linux (WSL2) with full GUI and X windows support. Join this webinar to better understand WSL2, how it works, proper setup, configuration options, and learn to target it in your application development. Test your Linux applications on your Windows desktop without the need for a second computer or the overhead of a virtual machine. Learn to leverage additional Linux features and APIs from your applications.
Examples with Delphi 11 Alexandria and FMXLinux
Learn how Embarcadero's newly released free Python modules bring the power and flexibility of Delphi's GUI frameworks to Python. VCL and FireMonkey (FMX) are mature GUI libraries. VCL is focused on native Windows development, while FireMonkey brings a powerful flexible GUI framework to Windows, Linux, macOS, and even Android. This webinar will introduce you to these new free Python modules and how you can use them to build graphical users interfaces with Python. Part 2 will show you how to target Android GUI applications with Python!
Introduction to Python GUI development with Delphi for Python - Part 1: Del...Embarcadero Technologies
Learn how Embarcadero’s newly released free Python modules bring the power and flexibility of Delphi’s GUI frameworks to Python. VCL and FireMonkey (FMX) are mature GUI libraries. VCL is focused on native Windows development, while FireMonkey brings a powerful flexible GUI framework to Windows, Linux, macOS, and even Android. This webinar will introduce you to these new free Python modules and how you can use them to build graphical users interfaces with Python. Part 2 will show you how to target Android GUI applications with Python!
Join Jim McKeeth as he introduces you to FMXLinux, and shows how you can bring the power of FireMonkey to Linux.
Outline:
Installation via GetIt Package Manager
Linux, PAServer, SDK, & Package Installation
FMXLinux usage and Samples
FireDAC Database Access on Linux
Migrating from Windows VCL to FMXLinux
3rd Party FMXLinux Support
Deploying rich web apps via Broadway
https://embt.co/FMXLinuxIntro
Combining the Strenghts of Python and Delphi
Links replay and more
https://blogs.embarcadero.com/combining-the-strengths-of-delphi-and-python/
Python4Delphi repository
https://github.com/pyscripter/python4delphi
Part 1
https://blogs.embarcadero.com/webinar-replay-python-for-delphi-developers-part-1-introduction/
Webinar by Kiriakos Vlahos (aka PyScripter)
and Jim McKeeth (Embarcadero)
Replay https://youtu.be/aCz5h96ObUM
Find out more, and register for part 2
https://embt.co/3hSAKrg
Check out the library
https://github.com/pyscripter/python4delphi
Agenda
Motivation and Synergies
Introduction to Python
Introduction to Python for Delphi
Simple Demo
TPythonModule
TPyDelphiWrapper
Embeddable Databases for Mobile Apps: Stress-Free Solutions with InterBaseEmbarcadero Technologies
When it comes to developing mobile applications, keeping data on your device is a must-have feature, but can still be risky. With embedded InterBase, you can deploy high-performance multi-device applications that maintain 256-bit encryption, have a small footprint and need little, if any, administration.
What can participants expect to learn: Using InterBase in your mobile apps is easier than you may expect. Learn to develop mobile applications using InterBase, and how to take advantage of some of the convenient features about InterBase like Change Views and 256-bit security.
Join Mary Kelly, InterBase Engineer & RAD Software Consultant, and Jim McKeeth, Chief Developer Advocate & Engineer, for this webinar replay.
Replay: https://embt.co/2qUPwWY
TMS Software's Map Packs make it easy to integrate mapping into your applications. Based on the Google Maps and OpenStreet Maps sources. Join us for this webinar to learn how to take your mapping to the next level.
Works on VCL, FireMonkey (FMX), Windows, Android, iOS, macOS, Delphi and C++Builder.
Applications built with Delphi and C++ Builder for the Windows platform have proven to be indispensable instruments for businesses, but rewriting them for the cloud is often cost-prohibiting. rollApp offers a cloud platform that can run existing desktop applications in the cloud without any need to modify them. At this webinar you will learn how to move your application to the cloud and offer the benefits of a cloud solution to your users in a matter of a few weeks.
Learn about the latest features of C++11 that you can take advantage of today in C++Builder 10.1 Berlin.
David Millington, Embarcadero's new C++Builder Product Manager, shows cool C++11 code in the IDE that can be compiled for Windows, macOS, iOS and Android using the Embarcadero C++Builder Clang-enhanced compiler.
C++11 language features covered include:
Auto typed variables
Variadic templates
Lambda expressions
Atomic operations
Unrestricted unions
and more
Slide deck for the June 2, 2016 Embarcadero Webinar
This webinar will show you how to build mobile applications for iOS and Android using Delphi and C++Builder 10.1 Berlin. We will cover getting started, best practices for mobile UI/UX, building your first app, using FireUI Live Preview, creating custom design views and Live Previews, a real world example of creating, submitting and getting store acceptance for an iOS and Android app, working with databases, what’s new for mobile development and more.
This webinar will also give advice to Windows VCL desktop application developers who want to migrate their as much of their existing code to the iOS and Android mobile platforms
In this webinar we take a deeper dive into:
• How to get started building Mobile Apps if you are a Windows VCL desktop developer
• Building Mobile Apps using the different target platforms configurations
• Best practices and Apple/Google UI/UX guidelines for mobile applications – you’ll need to follow these to get your apps accepted.
• Creating FireUI Designer Custom IDE Views for other Mobile Devices
• FireUI Live Preview – extending the App to support custom component viewing
• Accessing Local and Remote Databases from your mobile apps
• Submitting apps to the Apple App Store, Google Play
Technical demonstrations will be presented by the team. Live Q&A will be done during and at the end of the webinar.
Slide deck used during the May 19, 2016 Embarcadero RAD Server Launch Webinar.
RAD Server is a turn-key application foundation for rapidly building and deploying services based applications. RAD Server provides automated Delphi and C++ REST/JSON API publishing and management, Enterprise database integration middleware, IoT Edgeware and an array of application services such as User Directory and Authentication services, Push Notifications, Indoor/Outdoor Geolocation and JSON data storage. RAD Server enables developers to quickly build new application back-ends or migrate existing Delphi or C++ client/server business logic to a modern services based architecture that is open, stateless, secure and scalable. RAD Server is easy to develop, deploy and operate making it ideally suited for ISVs and OEMs building re-deployable solutions.
ER/Studio is the complete business-driven data architecture solution that combines data modeling, business process, and application modeling and reporting with cross-organizational team collaboration for data architectures and enterprises of all sizes.
“Oh my goodness! What did I do?” Chances are you have heard, or even uttered this expression. This demo-oriented session will show many examples where database professionals were dumbfounded by their own mistakes, and could even bring back memories of your own early DBA days.
Businesses make critical decisions using key data assets, but stakeholders often find it difficult to navigate the complex data landscape to ensure they have the right data and understand it correctly. Companies are dealing with a number of different technologies, multiple data formats, and high data volumes, along with the requirements for data security and governance.
Watch the companion webinar at:
Join John Sterrett, Senior Advisor at Linchpin People and Scott Walz, Director of Software Consultants, to learn how execution plans get invalidated and why data skew could be the root cause to seeing different execution plans for the same query. We will look at options for forcing a query to use a particular execution plan. Finally, you will learn how this complex problem can be identified and resolved simply using a new feature in SQL Server 2016 called Query Store.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
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GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
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UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
National Security Agency - NSA mobile device best practices
Building an Enterprise Metadata Repository
1. White Paper
Building an Enterprise Metadata
Repository
Ron Lewis, CDO Technologies
December 2009
Corporate Headquarters EMEA Headquarters Asia-Pacific Headquarters
100 California Street, 12th Floor York House L7. 313 La Trobe Street
San Francisco, California 94111 18 York Road Melbourne VIC 3000
Maidenhead, Berkshire Australia
SL6 1SF, United Kingdom
2. Building an Enterprise Metadata Repository
CONTENTS
Introduction ............................................................................................................................. - 2 -
First Step: Decide What Needs to be Collected ..................................................................... - 3 -
Second Step: Collecting the Metadata .................................................................................. - 4 -
Third Step: Populating the Metadata Repository .................................................................. - 6 -
Selecting the Right Tools......................................................................................................... - 6 -
Summary .................................................................................................................................. - 7 -
About the Author .................................................................................................................... - 8 -
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3. Building an Enterprise Metadata Repository
INTRODUCTION
The importance of capturing metadata has been a topic of many webinars, teleconferences,
and white papers over the last several years. There’s has also been an increasing emphasis on
“building metadata repositories”. To avoid being just another white paper describing the
“metadata trend” or promoting a particular metadata repository solution – the intent of this
whitepaper is to provide basic definitions for the concepts of metadata and metadata
repositories, as well as to provide a basic methodology for collecting metadata and populating
an enterprise metadata repository.
IT ALL BOILS DOWN TO THE DATA
A good starting point is defining the difference between data and information. Data is nothing
more than collections of raw facts. Data is transformed into information as result of the
manipulating or processing of these “raw facts” by putting them into meaningful contexts. Data
is often referred to as the “crown jewels” of an organization. This is a valid analogy; an
organization’s data is typically priceless to that organization. The financial health and
profitability is often tied to how well a business entity utilizes its data resources.
As technology has evolved, executive leaders have become increasingly more aware of the
importance of data to the efficiency of an organization. A lot of emphasis is being placed on
methodologies and frameworks—a couple good examples would be LEAN Engineering
Principles and the Zachman Framework—to provide additional insight into how to streamline a
company or business’ effectiveness. There’s a heavy focus on mapping business processes and
to the corporate data upon which the processes rely. This focus introduced the need for
metadata management.
METADATA PROVIDES CONTEXT
Metadata describes data and is used to enhance the effectiveness of data use. Metadata is
often categorized as either business or technical metadata. Business metadata describes
taxonomies, articulates business rules, and establishes common vocabularies. This helps align
data with its business context. Conversely, technical metadata describes data sources,
attributes, domains, nomenclature, movement, and consumption rules. The bottom line:
Metadata is used to identify the context in which data becomes meaningful.
METADATA REPOSITORIES STORE ALL YOUR PROVERBIAL EGGS
IN ONE BASKET
When it comes to metadata, having all your proverbial eggs in one basket is a good thing.
Metadata, especially when aggregated properly, can expose new ways of exploiting data to
significantly increase efficiency and profitability. In order to glean the full value from collected
metadata it’s important to store metadata in a manner where it can be easily indexed,
cataloged, and searched. A metadata repository facilitates this. A metadata repository is a
system for aggregating, indexing, cataloging, protecting and providing access to corporate
metadata.
This is no small task. Storing metadata collectively is challenging because there are many
different types of metadata, and many different means by which metadata can be expressed.
Embarcadero Technologies -2-
4. Building an Enterprise Metadata Repository
As stated above, there are two basic categories of metadata: business and technical. Below are
a few examples of crucial metadata and a few of the forms by which it is normally expressed.
This is by no means an exhaustive list, but is provided to help scope the metadata collection
task.
Crucial business metadata:
o Business Vocabularies: describe terms common to the organization and are built
of Business Definitions
o Business Definitions: provide a common meaning to a common term
o Business Processes: groups of business activities that center around a business
purpose and governed by business rules
o Business Rules: define the organization and how it achieves it business goals
Critical technical metadata:
o Data Models
o System Catalogs
o Extract, Transform, and Load Scripts
o Data Lineage
o Data Consumption Rules
A few common means by which metadata is articulated:
o Use Cases: Often used to describe business processes in software development
terms
o Business Models: Used to facilitate communication between business and
systems analysts
o Data Models: Used to describe relationships between data elements
A metadata repository solution should be capable of collecting all of these bits of data in a
readily searchable, protected form. Quick rule of thumb concerning metadata repository
security: The value of the metadata is proportionate to the perceived quality and reliability of
the metadata repository contents. The metadata is incredibly valuable and should be
adequately protected.
FIRST STEP: DECIDE WHAT NEEDS TO BE
COLLECTED
There is obviously lots of metadata that can be collected and housed in a repository. Knowing
what needs to be collected is definitely a huge challenge. Deciding what needs to be collected
is viewed as an enterprise engineering task. Enterprise architects typically describe an
organization using a formal, structured framework, such as Zachman, to define the “why, how,
what, who, where, and when” associated with an enterprise. This is an expensive and time
consuming endeavor but is also well worth the investment.
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5. Building an Enterprise Metadata Repository
REVERSE ENGINEERING DATA COLLECTION NEEDS FROM KEY
REPORTING REQUIREMENTS
A simple method for getting started for diverse, well-structured organization is to iteratively
collect data associated with the business processes that define the enterprise reverse
engineering from the reports that the enterprise relies upon. For example, a medical practice
can be decomposed into several large building blocks—such as doctors, patients, visits, and
perhaps treatments. A medical practice requires several different types of key reports, such as
billing, treatment record, medical record requests, and HIPAA release forms-- to name a few
(disclaimer: this is only for illustrative purposes). Start with the most frequently used “reports”
and identify the information necessary to complete the tasks associated with the large building
blocks. Reports encapsulate critical business rules, and key business attributes. A lesson
learned from the security industry is reports often put business data in its most meaningful
context and are prime targets of cyber-attackers. This method for determining metadata needs
leverages this security knowledge. Since reports provide easy-to-understand, readily accessible
mappings between business needs and the supporting data--the answer to these two
questions: “What information do the reports describe” and “what is necessary to build them”
provide a good starting point for identifying the most important metadata to be collected.
SECOND STEP: COLLECTING THE METADATA
THE TRADITIONAL METHOD
Many enterprise architects start with building business process models, and then map the
business process models to conceptual data models. This requires business architects to
interview key business analysts to derive and validate the business models. It also requires data
architects to interview key technical personnel to build and validate the conceptual data
models. Once the models and mappings have been built—enterprise architects then map
these to systems and data repositories identifying key dependencies between systems. The
correlating metadata defining the AS-IS is then collected, cataloged, indexed, and housed in a
metadata repository.
KEY CHALLENGES
Managing Cost: Initial metadata collection activities associated with the manual effort for
describing the existing environment (e.g., the “AS-IS”) are expensive, both in terms of cost and
time. Manual interview processes are disruptive. Interview processes have a hidden cost in lost
production; they pull key personnel away from revenue generating tasks. In rapidly evolving,
high-demand environments—this loss can be devastating.
Managing Scope: There are two common scope-related tendencies during initial data
collection efforts: to focus on collecting everything, or to get buried in the details. Both of
these cause a loss of momentum and end up increasing cost significantly.
Staying focused on the data collection: It’s tempting, especially when glaring inefficiencies are
discovered, to stop the data collection activities and focus on addressing and correcting the
discrepancies. This can have huge negative impact due to the ripple effect changes can cause
across an organization.
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6. Building an Enterprise Metadata Repository
SOLUTIONS
Summing up what seems to work best in most environments to counter these challenges:
o Focus on what’s important. Start with the organization’s main focus and then
quantify each activity based on the percentage of revenue for the organization.
o Leverage automation to the greatest degree. Eliminate as many of the manual
interviews as possible and glean as much business information by decomposing
reports, reverse engineering applications, and current software development
documentation. Caution: Not all software development artifacts will match
what’s been deployed into production.
o Do not perform data re-engineering or process improvement during data
collection. Focus the effort on data collection. When all the metadata has been
collected, cataloged, and indexed, business analysts will often get a clear
picture of inefficiencies across the enterprise.
A BETTER WAY – USE TOOLS
A prime solution to reduce the time and cost while increasing the overall effectiveness of the
data collection activities is to leverage technology. It’s best to start with the reports and work
backwards towards deriving processes. The reports and associated metadata collected provide
a good means for validating the processes, provide a common frame of reference for all
involved in the interview process, and minimizes number of interviews necessary to fully capture
the enterprise view.
Perform the following actions using tools:
o Identify as many of the database servers within the enterprise and reverse
engineer the physical schemas contained within each database server.
o Build a single enterprise data model and include each reverse engineered
physical schema in the master model.
o Export the schema metadata to a spreadsheet and have the appropriate data
architects annotate what is known about each entity and associated attributes.
o Instrument and profile each application with an application protocol monitor to
capture business rules captured as programmatic logic-thereby capturing the
data consumption rules.
o Extract business logic from application source code
o Capture transformation rules and data lineage metadata by profiling extract,
transform, and load (ETL) scripts. This is accomplished by instrumenting each
database server and capturing use with a database profiling tool.
o Import any existing business process models (BPM) into a standard BPM tool.
o Profile data use, focusing on identification of dormant data as well as high-
utilization data—databases, tables, and elements.
o Evaluate the metadata captured for consistency. Identify and annotate any
discrepancies discovered.
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7. Building an Enterprise Metadata Repository
THIRD STEP: POPULATING THE METADATA
REPOSITORY
Once the above steps have been completed, there will be a significant amount of metadata. To
glean the value from the metadata, it needs to be imported in a common repository, cataloged,
indexed, and made available to the appropriate business, system, and data analysts.
There are plenty of pre-built metadata repositories. The metadata repository solution selected
must have the following critical capabilities:
o Manages unstructured content.
o Provides appropriate access controls and auditing.
o Imports myriad formats and exports in a standard format such as XML.
o Allow the creation and associations of descriptions to each metadata asset.
o Provides a searchable and intuitive means for finding and evaluating the
appropriate metadata.
The steps for populating a metadata repository will vary based on the particular solution;
however, the methodology is pretty standard. Each solution should provide import and export
mechanisms that allow data bridging between metadata collection tools. For collection tools
not natively supported by the repository solution, a commonly understood format, such as XML,
can be used as an intermediary bridge. For example--if metadata describing data
nomenclature has been captured in a loosely structured tool, such as Microsoft (MS) Excel, the
metadata can be exported as a comma-separated-value (CSV) file and imported back into a
supported data modeling tool. Most data modeling tools allow users to export metadata in
XML format. While an MS Excel file would most likely normally be captured in the repository as
“unstructured content”—it can be converted to structured content by importing the
appropriate metadata into the data modeling tool and exporting as schema metadata. This
example, of course, assumes that the metadata articulated in the spreadsheet is associated with
either logical or physical data models.
SELECTING THE RIGHT TOOLS
Selecting the right tools for collecting metadata is critical. The tools should be intuitive, and
easy-to-use. More importantly, the tools need to integrate well with one another to minimize
the number of tool bridging required. (Note: each time data is exported from one tool and
imported to another there is a risk that metadata will be lost or altered.) The tools should also
be accepted as an industry standard; this ensures that whatever metadata repository solution
selected, the tools will be supported.
THIS AUTHOR’S TOOL CHOICE
It’s important to have tools that are comfortable, reliable, and easy-to-demonstrate. I really like
the Embarcadero solution set. The integration provided by the new Embarcadero All Access
solution further solidified my choice. I’ve supplemented the toolset with NitroSecurity’s
NitroView Application Protocol Monitor (APM) to allow the visibility necessary to profile legacy
applications to extract business logic articulated as .NET and Java Code.
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8. Building an Enterprise Metadata Repository
METADATA COLLECTION TOOLS
Embarcadero® ER/Studio® Data Architect for reverse engineering physical schemas, building
the associated conceptual and logical models, and for managing schema related metadata. It is
well suited for capturing and managing enterprise transformation, consumption, and data
lineage metadata. Each reverse-engineered schema can be added to a master data model as a
sub-model to the master and the master can be auto-generate a master data catalog.
ER/Studio Data Architect supports creation of meta-data tags which are useful for meeting
regulatory requirements, such as identify PHI and PII for HIPAA or FISMA respectively. It also
supports creation and management of aliases, and provides a good foundation for data
governance.
Embarcadero® ER/Studio® Business Architect for importing existing business process models
and for building new ones.
Embarcadero ® ER/Studio® Enterprise. The latest version of ER Studio allows Data Architect
and Business architect to integrate into the ER Studio Repository. This allows business process
metadata and data metadata to coexist in a web-accessible repository.
DATABASE POLLING TOOLS
Embarcadero® DB Optimizer™. This provides the ability to capture sessions and filter them by
database and table. It is well suited for capturing key performance parameters that are critical
for data warehousing construction. It also provides a means of identifying which ETL scripts are
being utilized and for validating data lineage.
APPLICATION PROFILING TOOLS
Embarcadero® JBuilder™ for evaluating legacy J2EE applications and mapping to business
cases
NitroView APM for mapping application roles to business functions and for exposing business
rules in near-real time. The output from APM can be correlated with the DBOptimizer output to
provide a very accurate picture of which users are accessing which data, even when legacy
applications use connection pooling or shared application user accounts.
Most of the metadata is stored in the ER/Studio Repository and made available via the ER
Studio Portal included in the ER/Studio Enterprise. The integration of Data Architect and
Business Architect into a single repository, as well as the functionality provided in the All Access
Toolkit makes All Access a good fit for metadata collection and management.
SUMMARY
The intent of this whitepaper was to provide basic definitions for the concepts of metadata and
metadata repositories, as well as to provide a basic methodology for collecting metadata and
populating an enterprise metadata repository. Three key points hopefully gleaned:
In order to reap the full benefit from enterprise data assets, an organization must properly
collect and manage enterprise metadata.
Collecting the metadata across an enterprise can be expensive, although worthwhile endeavor;
the cost can be significantly reduced through proper use of the right tools; and the tangible
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9. Building an Enterprise Metadata Repository
benefits associated with the construction of an enterprise view should yield a high Return on
Investment.
Metadata Repositories are crucial tools to facilitate metadata management; metadata
repository selection is important and the repository should provide key functionality such as
management of unstructured content, import/export for a well-known set of tools, and the
ability to import and export standard formats such as XML.
ABOUT THE AUTHOR
Ron Lewis is an analyst who specializes in application security for CDO Technologies, a systems
integrator that delivers technology-based solutions to government agencies and customers in
the private sector. He has worked in the government and commercial security arena for more
than 15 years identifying and providing guidance for remediating application vulnerabilities.
Ron is considered an industry authority, having authored numerous articles on hardening
applications and the hacker mindset. He is also actively involved in industry organizations and
efforts such as the Open Web Application Security Project (OWASP) and the Oracle
Development Tools User Group (ODTUG).
Embarcadero Technologies -8-
10. Embarcadero Technologies, Inc. is a leading provider of award-winning tools for application
developers and database professionals so they can design systems right, build them faster and
run them better, regardless of their platform or programming language. Ninety of the Fortune
100 and an active community of more than three million users worldwide rely on Embarcadero
products to increase productivity, reduce costs, simplify change management and compliance
and accelerate innovation. The company’s flagship tools include: Embarcadero® Change
Manager™, Embarcadero® RAD Studio, DBArtisan®, Delphi®, ER/Studio®, JBuilder® and Rapid
SQL®. Founded in 1993, Embarcadero is headquartered in San Francisco, with offices located
around the world. Embarcadero is online at www.embarcadero.com.