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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.

Companies are continually faced with managing a growing and sometimes disparate suite of third party applications and tools and the underlying databases that support them. Good data is especially important if you’ve been tasked with building out and maintaining your organization’s data warehouse. This white paper addresses how to handle challenges in building a data warehouse from third party application databases.

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.

Learn why Windows 10, the most significant PC release in many years, is a big opportunity for software developers. Gain an understanding of how RAD Studio developers are ideally placed to take advantage of Windows 10 and why now is the time to prepare for new ways of developing and deploying Windows applications.

The new InterBase® patent pending feature “Change Views” introduces a new approach to tracking data changes (with field level granularity) in server as well as personal computer/tablet/mobile databases. It is designed for today’s mobile centric world. Furthermore, Change Views offer developers a way to break traditional constraints in their thinking about data change tracking and the life span of data in briefcase models. Through its Change Views technology, InterBase provides easy access to a highly scalable change-tracking engine that developers can easily mold to fit their requirements, regardless of whether they need to keep 1 or 100,000 destinations up-to-date.

Enterprise Mobility Services (EMS) is a multi-tier framework that first shipped with RAD Studio XE7. This white paper is designed to provide you, the software professional, with the information you need to get started with EMS today. You will learn how EMS interfaces with the various technologies necessary to support your applications, and why this approach is so valuable in today's distributed computing landscape. The paper continues by showing you how to get started with your EMS development including how to install EMS and make basic calls into this service. Importantly, these calls are standard REST REpresentational State Transfer) calls, which can be emitted by any language or framework that understands HTTP (HyperText Transfer Protocol). After a brief discussion of REST, you will learn how to make some of these basic calls using a browser, RAD Studio's REST Debugger, and a Delphi application.

A global survey, sponsored by Embarcadero Technologies, reveals 2015 will be a big year for developing business solutions with integrated “Things” – such as industrial sensors, drones, health monitors and smart buildings. The majority (84%) of software developers building IoT solutions in 2015 are targeting business markets, while only 16% are exclusively targeting consumers.

Today, apps are connected with an expectation to easily store information across multiple platforms and devices while still providing immediate and instant access to the user’s data and files. Whether you’re building a new app or updating an existing one, add these 5 BaaS features to your app and you will drive an increase in user engagement and retention.

Thank you for your interest in reviewing RAD Studio XE6, Embarcadero’s complete software development solution for building true native applications for Windows, Android, iOS and Mac OS X from a single codebase. This Reviewer’s Guide will give you an overview of some of the key benefits that developers will enjoy with RAD Studio XE6 as well as a walkthrough by building both multi-device apps and Windows applications.

Unit testing is an important topic. Very important. Unit testing can mean the difference between a codebase that is clean and maintainable and one that is impossible to maintain.

Many businesses today are looking to identify opportunities to increase efficiency in their business processes and to expand opportunity by using apps on mobile devices. While this is positive,organizations must manage the initiative correctly in order to minimize risk of failure, as getting it wrong can cost much more than just the initial budget allocated for the project; in both time and money, it can severely damage an organization's reputation. Read this White Paper and avoid common missteps.

This 42-page technical white paper covers a typical scenario in the IT world including architecture and techniques for connecting with a database server and providing data to different front-ends using different technologies.

This white paper has been written to help developers that are using versions of Delphi or RAD Studio that were released previous to the launch of Delphi 2009. Read this paper if you are looking for more information on why and how to Unicode-enable a codebase that has been developed using a pre-Unicode enabled version.

Throughout this paper, we will investigate many of the capabilities of the FM Application Platform involved in data visualization. We will cover the important role that FM primitives and vector graphics play in visualizing data.

We will take a look at charting and how we can incorporate modern looking charts into our own applications. We will also be taking a deep dive into customized lists on mobile devices and leveraging custom FM controls to achieve very rich displays. And finally, we will investigate how to create truly stunning hi-res images generated from mathematical data.