Whitepaper

Businesses rely on data for important decision-making, but may need to justify the Return on Investment (ROI) of data modeling within their organization. In this whitepaper, Tom Haughey discusses how to calculate the return on investment (ROI) of data modeling by assessing the economic value of real data modeling benefits, such as improved requirements definition, reduced maintenance, accelerated development, improved data quality and reuse of existing data assets.

Migrating from one data modeling tool to another doesn’t have to be difficult or painful. Use this migration guide to take you through the steps for importing your ERwin data models into ER/Studio.

Corporate data is dramatically increasing in importance. It is imperative to have trustworthy data that correctly represents all aspects of the business environment. Data modeling can be a useful way to improve data quality and integrity and establish the foundation for a business-driven data architecture. This Dimensional Research report contains a summary of survey results from 402 business and data stakeholders, covering current trends in corporate data and data modeling.

The data warehouse is an established concept and discipline that is discussed in many books, conferences and seminars. Into this world comes a new technology – Big Data. In this paper, William Inmon describes the differences and similarities between data warehouse architectures and Big Data technologies.

In this paper, Claudia Imhoff, Ph.D., describes an analytical architecture that expands on the existing Enterprise Data Warehouse (EDW) to include new data sources, storage mechanisms, and data handling techniques needed to support both conventional sources of data and those supplying Big Data.

This DATAVERSITY report consolidates the findings of their NoSQL survey, which examined a number of crucial issues within the NoSQL world today, with a focus on data modeling in particular.

Is your organization working on Agile or Scrum development projects? Many companies are moving to these methodologies for applications and databases, but haven’t taken them all the way back to the data models. In this whitepaper, Karen Lopez provides 10 tips and discusses ways for data modelers to work with sprint-focused agile development projects.

This analyst report examines the growing importance of model-driven processes for database design and management. The paper specifically focuses on the role and common use cases for business-driven metadata in database modeling, design, and development tools and how Embarcadero’s ER/Studio solution addresses the needs of today’s enterprise data landscapes.

Whether you’re working with relational data, schema-less data, or model metadata, you face challenges in providing the right access and context for your enterprise data assets. Read this eBook for essential insights on important data architecture topics.

Data architects face many challenges on a day-to-day basis which have made data modeling and metadata management more important than ever. The models and associated metadata are the only means by which complex data environments can truly be understood and managed. This whitepaper highlights five major challenge areas, and provide insights regarding how to address them with data modeling.

Everything about data has changed, but that only means that data models are even more essential to understanding that data so that businesses can know what it means. As development methodologies change to incorporate Agile workflows, data architects must adapt to ensure models stay relevant and accurate. This whitepaper describes key requirements for Agile data modeling and shows how ER/Studio supports this methodology.

There are multiple considerations for collaborating on metadata within an organization, and you need a good metadata strategy to define and manage the right processes for a successful implementation. In this white paper, David Loshin describes how to enhance enterprise knowledge sharing by using collaborative metadata for structure, content, and semantics.

As an independent consultant, Ron Huizenga used both ERwin and ER/Studio with a wide range of customers. Based on his experience and evaluation, he concluded that ER/Studio had the right features and capabilities to address the complex enterprise data architecture needs of his clients. Read this paper to learn why he made the switch to ER/Studio.

In today’s enterprise data environment, businesses are dealing with a larger volume of data that has expanded in its variety and velocity, and must assess how to integrate the new ‘big data’ with their existing relational assets. In this analyst report, Carl Olofson shares his insights on the challenges, strategies, and benefits of working with complex data landscapes.

Metadata needs to be organized and managed if it is to be leveraged effectively. Published in the DBTA Best Practices Series, this article describes metadata and its value, outlines the importance of integrating metadata in an enterprise data environment, and reviews approaches to implementation.

As a modeling and collaboration platform, ER/Studio is a very capable environment to define, manage and organize metadata effectively. This allows business and data consumers understand how data is used across the organization. This Tech Note documents some of the features that make ER/Studio Data Architect and ER/Studio Team Server particularly well-suited for handling metadata.

In this white paper, Robin Bloor and Rebecca Jowiak from The Bloor Group discuss the value of metadata and the importance of organizing it well. Learn about the benefits of the ER/Studio Team Server, which lets you:

• Collaborate on metadata across your organization
• Manage disparate data sources and definitions
• Establish an enterprise glossary of business definitions and data elements
• Improve communication between teams

Your data models are brilliant... but only if the DBAs and developers are on the same page. Get more value through collaboration. How? In this white paper, Karen Lopez from InfoAdvisors, Inc. discusses strategies on how to build a little more teamwork and collaboration and get a lot more value from data modeling.

In this paper, you’ll learn:

• What ARRA, HITECH, Meaningful Use (MU), and Certification mean.
• How technical personnel such as data architects, DBAs and developers will be affected by MU.
• The best ways to determine the MU gaps that might be found in existing systems.
• Additional expertise technical personnel may need to meet MU.
• How quickly systems will need to be modified and deployed to meet MU rules.

To learn all you can about data modeling for your data warehouse and what to look out for, you need to know how to identify the primary issues that surface. This awareness can help when you run into a scenario where you find architecture that is not fully documented and different from the rest of your database designs.

In this whitepaper we’ll focus on seven common database design “sins” that can be easily avoided and suggest ways to correct them.

To help you avoid pitfalls in your data architecture, Karen López describes how to: understand the benefits of an effective enterprise data modeling effort; identify seven common mistakes that organizations can make in developing enterprise data models; and establish a plan to address those issues with ER/Studio

Use these strategies to define and deploy a successful enterprise data model in your company.

While data architects like to collaborate amongst themselves using their own procedures and language, they need to consider improving our interaction with our business clients. This paper discusses five things you can do right now to improve collaboration with business users.

In this whitepaper, data management expert Kelle O’Neal leads you through the process of creating a sustainable data governance program:

• Managing the expansion of data governance
• Embedding the program
• Identifying the difficulties of creating sustainable governance
• Assessing the current state of your data governance

Guerilla governance speeds up the process and reduces costs by focusing scarce resources on projects that add the most value to your organization.

In this whitepaper, data management expert Kelle O’Neal shows you how to:

• Spot key differences between guerilla and enterprise governance
• Develop, quantify, and justify your data governance program
• Create your own plan of action you can execute right now

To help you make a business case for data governance within your own organization, we’ve teamed up with Kelle O’Neal on a whitepaper called “Making the Business Case for Data Governance” that walks you through a step-by-step process to:

• Quantify the benefits of data governance in your own organization
• Establish the scope of a data governance program
• Show a clear connection between data governance and the ability to meet business objectives 

Download the whitepaper “How NOT to Govern Data: 5 Pitfalls to Avoid” to discover:

• The top 5 mistakes you can make in your data governance program that will virtually guarantee failure
• Concrete strategies to avoid these pitfalls from the beginning, or correct them once you’ve got them
• How to incorporate best practices into your broader data governance framework

This expert whitepaper will show you the true, cascading costs of using tools such as Visio or Excel for data modeling. You’ll learn how using tools built specifically for data modeling can help you achieve up to a 387% ROI in year one.

During the last few years, several database market dynamics have led many people to question the utility of data modeling. In particular, the advent of XML information management, growing frustration with traditional relational database management system (RDBMS) capabilities and vendor relationships, and the expanding influence of cloud platforms have led many organizations to reconsider their commitments to the practice of data modeling. Read this paper for perspectives on why data modeling is more important than ever before, and that organizations that seek to fully leverage database market dynamics must redouble their focus on data modeling.

Almost all business applications track information about people and organizations, recording information about customers, suppliers, subsidiaries, departments, employees, and contractors redundantly in many different systems. For this reason, it is very difficult to keep key information such as client contact data consistent and accurate. Examples of applications that store information about people and organizations include sales, marketing, purchasing, order entry, invoicing, project management, and accounting.

Summary: We need data governance in our organizations and we need it to be done correctly. We as data professionals cannot solve this problem alone. In fact, we can’t solve it at all. This is a business issue. We cannot force compliance into systems after the fact, nor can we engineer it into solutions without business ownership of their governance and compliance processes. This paper lays out 5 things we must do to ensure our data governance, stewardship and compliance programs are successful.

More and more organizations are recognizing the benefits of data warehouses and their ability to support critical business intelligence initiatives. Yet many DW/BI projects fail due to poor collaboration on business requirements, faulty designs, and lack of solid metadata. Many of these challenges can be overcome through effective data modeling practices and data modeling tools.

This paper examines some of the features that are crucial to the success of developing with and deploying an embedded database. It will highlight key features of InterBase^® and contrast InterBase with other database alternatives for embedded applications. While large enterprises require complex database management systems that can support thousands of users, manage terabytes of data, and need a highly trained support staff, The requirements for an embedded database are quite different from those of an enterprise DBMS.

This book covers Dependency Injection from A to Z. In it you'll learn about Constructor Injection, Property Injection, and Method Injection. You'll learn about the right and wrong way to use the Dependency Injection Container.

Chapter List:

• What is Dependency Injection
• Benefits of Dependency Injection
• Constructor Injection
• Property Injection
• Method Injection
• Using the Container
• A Simple Migration Example
• Advanced Uses of the Container
• Dependency Injection Anti-patterns
• A Full, Useful Example
• Final Thoughts

This book will help you Code Faster in Delphi through a vast array of tips, tricks and hacks to squeeze every bit of productivity out of yourself and the Delphi IDE.

Don't touch that mouse! Hands on the keyboard, and eyes front. You're about to embark on a Bootcamp to tone your coding muscles, sharpen your shortcuts, fix forms faster, and accelerate your career as a Delphi Programmer.

Now drop and give me twenty lines of code and five laps of that while loop.

This book will help you Code Faster in Delphi through a vast array of tips, tricks and hacks to squeeze every bit of productivity out of yourself and the Delphi IDE.

This is a book all about writing Delphi code. It's not about the VCL or database access. It's just about how to use the language in the most effective way to write clean, testable, maintainable Delphi code. It covers a variety of powerful Delphi programming features and techniques including Generics, Interfaces, Exception Handling, Anonymous Methods, Collections, RTTI, Enumerators, Attributes, Dependency Injection and Unit Testing.

This book is all about the cool, new code you can write with Delphi. It won't matter whether you are building a VCL or an FM application. I've titled it "Coding in Delphi" because I want to make it a book that shows you simple examples of how to use powerful features -- that, is about the *code*. These language features are indeed advanced features -- they are new relative to, say, the `case` statement -- and thus many of you are beginners to them. By the end of this book, you won't be. What you will find are ways to make your code much cleaner, much more powerful, and way easier to maintain.

"More Coding in Delphi" picks up where "Coding in Delphi" left off, continuing to illustrate good, sound coding techniques including patterns, Aspect Oriented Programming and programming for the Parallel Programming Library.

Outline:

• Six Thoughts on Coding Before We Start
• Writing SOLID Code
• DuckTyping
• Aspect-oriented Programming
• Observer Pattern
• Adapter Pattern
• Decorator Pattern
• Command Pattern
• Factory Pattern
• Multi-Threading and Parallel Programming
• Things Nick Does in Code
• TSmiley

Delphi and Electron for Desktop Plattforms

When businesses choose a software framework they begin a long-term relationship for the duration of their application’s lifecycle. Given the strategic consequences of this decision, businesses must carefully consider how frameworks enhance developer productivity, business functionality, application flexibility, product performance, the long-term viability of that framework, and the inherent security in each framework’s design and technology. The ideal framework demonstrates strength in each category by minimizing product time-to-market, reducing maintenance costs, supporting product variety, and facilitating a superior customer experience.

This paper evaluates two frameworks supporting multi-platform desktop application development: Delphi and Electron.

In order to assess these frameworks, this paper defines four evaluation categories and 26 metrics, defines and analyzes a benchmark application, and scores each framework using a weighted evaluation. The benchmark, an RSS reader, assesses each frameworks’ ability to create an application for multiple desktop operating systems and provides insight into framework performance differences between operating systems.

This newly updated 500-page eBook for Delphi 11 Alexandria is a complete guide to the current, modern Object Pascal programming language by best-selling Delphi books author and Delphi Senior Product Manager, Marco Cantú.

It's a manual for new and existing Object Pascal developers and covers, among other things, the following:

Die Welt der Softwareentwicklung lebt von innovativen Konzepten wie objektorientierter Programmierung (OOP), Agile Development, Continuous Integration (CI), DevOps, Low-Code, Enterprise & Micro Services, UI / UX Design und vielen mehr.

Hinter vielen dieser Schlagworte steht wohl ein Schlüsselkonzept, das in letzter Zeit eine enorme Wiederauferstehung erlebt hat. Es beeinflusst weiterhin stark die modernen Werkzeuge und Prozesse, die heute in der Softwareentwicklung eingesetzt werden und wird nun von einer breiteren Palette von Produkten beansprucht, die eine Vielzahl von innovativen Ansätzen abdecken. Dieser Begriff ist Rapid Application Development (RAD).

Angesichts der Tatsache, dass große Softwarefirmen wie Microsoft, Google, Apple, Amazon und Salesforce, um nur einige zu nennen, RAD-Ansätze propagieren, wird in diesem Beitrag untersucht, wie sich RAD weiterentwickelt und wie RAD Studio heute weiterhin innovative Werkzeuge und Frameworks bereitstellt und die neuesten Entwicklungspraktiken und -protokolle unterstützt.

Die größte Herausforderung für jedes Softwarehaus ist es, seine Kunden möglichst schnell mit einer Lösung zu bedienen, die allen Erwartungen in Bezug auf Bedienbarkeit, Flexibilität und Leistungentspricht und somit eine optimierte Benutzererfahrung liefert. Dafür gilt es zuerst zu ermitteln, auf welchen undengeräten die Software zum Einsatz kommen soll, um dann die Anwendungen und Architekturen für diesen Geschäftsbereich zu entwickeln.

Um eventuellen Missverständnissen vorzubeugen: In diesem Papier geht es nicht um interne Praktiken der Softwareentwicklung. Unabhängig von Ihrem jeweiligen Entwicklungsansatz ist das Ziel nämlich immer das gleiche: Sicherzustellen, dass die Anwendungen kompiliert und ausgeführt werden können, dass sie sicher sind und dass sie auf den Kundensystemen auch optisch gut zur Geltung kommen. Diese Papier wird Ihnen Markttrends aufzeigen, die für die internen technischen Fähigkeiten zur Bereitstellung der Software für Endbenutzer wichtig sind.

This whitepaper evaluates three frameworks for Windows application development - Delphi, Windows Presentation Foundation (WPF) with the .NET Framework, and Electron.

Dieses neu aktualisierte 500-seitige E-Book ist ein komplettes Handbuch zur aktuellen, modernen Programmiersprache Object Pascal vom Bestseller-Autor von Delphi-Büchern und Delphi Senior Product Manager, Marco Cantú.

API-Services sind die Grundlage moderner verteilter Applikationen.Microservices gelten heute als Basis moderner Anwendungsarchitekturen. Statt einer monolithischen und schwerfälligen Software wird die gesamte Funktionalität auf überschaubare Teilsysteme verteilt. Die entstandenen Services werden dann üblicherweise über das Internet und RESTful APIs zur Verfügung gestellt.

In diesem Whitepaper erfahren Sie wie Sie mit RAD Studio und dem RAD Server vom Client bis zum Backend mit einer technologischen Basis arbeiten. Das ist effizient und bedeutet Wettbewerbsvorteile durch eine Verringerung der Time-To-Market.

Erfahrene Entwickler wissen, dass die Bindung von Benutzern an ihr Produkt eine Herausforderung sein kann. Deshalb investieren sie kontinuierlich in ihre Anwendungen, um sie schneller, funktionaler und benutzerfreundlicher zu machen. Vom dafür erforderlichen Aufwand profitiert nicht nur der Benutzer. Die Bereinigung von nicht benutztem und ineffizientem Programmcode vereinfacht auch die Weiterentwicklung von Anwendungen für jeden Entwickler.

Read this whitepaper to learn how modern market trends are putting pressure on stable legacy applications, and what you can do to stay relevant and future-proof your applications.