White Papers, Research Papers, and eBooks

Data Virtualization for Dummies: Learn How to put Data Virtualization to Work in your Organization

With the advent of big data and the proliferation of multiple information channels, organizations must store, discover, access, and share massive volumes of traditional and new data sources. View Now

Data Intelligence: Empowering the Citizen Analyst with Democratized Data

The priorities of the “citizen analyst” is to find the right data assets and then use them to quickly prototype reports and analyses, develop visual presentations, and craft the appropriate data stories to advise senior management. View Now

Implementing Data Governance with Knowledge Graphs to Enable Enterprise AI

Are You Considering How AI May Help Your Information Management? Then you will want to learn about the synergistic relationship between Data Governance, Knowledge Graphs, and enterprise applications of AI and Machine Learning (ML). View Now

Realizing the Benefits of Automated Machine Learning

While everyone is talking about machine learning and artificial intelligence (AI), how are organizations actually using this technology to derive business value? Renowned author and professor Tom Davenport conducted an in-depth study (sponsored by DataRobot) on how organizations have become AI-driven using automated machine learning. View Now

Simplifying Data Connectivity in a Data-Driven Enterprise

Today’s C-level executives expect data and analytics to provide them with speed and agility to deliver competitive advantage and to disrupt new markets. At the same time, the complexities of the data landscape are making it more difficult to find, govern, connect to and access the data needed to deliver that value.   View Now

MariaDB Platform for Transactions: Production Deployment Checklist and Guide

Database deployment projects are inevitably time constrained. That often leaves little room for considering the many factors that make projects safer and more sustainable – such as reviewing vendor documentation, properly configuring you environment, performing reasonable testing and calling on consultants or trainers as needed. View Now

Google to Buy Looker to Transform Business Analytics

Google recently announced its intent to acquire Looker to provide a more comprehensive analytics solution. This report provides the perspective of Hyoun Park, CEO and Principal Analyst at Amalgam Insights, who has researched and covered both companies for years. View Now

Assembling the A-Team for Your Data Governance Program

Business leaders today recognize the importance of data to their overall business success. Data is so fundamental, in fact, that our 2018 global data management benchmark report found that 95 percent of C-level executives believe that data is an essential part of forming their business strategy. View Now

How to Design and Implement a Governance, Risk, and Compliance Framework for Enterprise Data Analytics

A core component of the internal control environment of an organization, Access Control is the process of determining and enforcing who can view specific data and, in some cases, how the data appears to users. View Now

Trends in Modern Integration

How do you get ahead of a changing integration landscape? Data architectures have become more sophisticated, and the growth of unstructured information is swiftly outpacing the data generated by traditional information systems. View Now

CDP Myths: What is the Reality Behind the CDP Market

The newest marketing technology is now the Customer Data Platform (CDP).  Though it sounds intriguing to have so much data and marketing functionality under one roof, vendors, analysts, consultants, and buyers don’t all agree on what a CDP is or should be.  View Now

Understand Your Data: The Ultimate Guide to Data Lineage

The amount of data that companies store and process has skyrocketed over the past few years. Data is becoming more and more complicated and dynamic, and handling it properly and efficiently can sometimes seem impossible. Yes, welcome to the Age of Big Data. View Now

What is… ?

What is Data Management? What is Data Governance? What is Metadata? Get the short answers to these and nine more hot data topics. View Now

Trends in Data Governance and Data Stewardship

The foundation of this report is a survey conducted by DATAVERSITY® that included a range of different question types and topics on the current state of Data Governance and Data Stewardship. View Now

Trends in Data Architecture

The foundation of this report is a survey conducted by DATAVERSITY® that included a range of different question types and topics on the current state of Data Architecture. The report evaluates the topic through a discussion and analysis of each presented survey question, as well as a deeper examination of the present and future trends. View Now

Emerging Trends in Metadata Management

This report evaluates each question posed in a recent survey and provides subsequent analysis in a detailed format that includes the most noteworthy statistics, direct comments from survey respondents, and the influence on the industry as a whole. It seeks to present readers with a thorough review of the state of Metadata Management as it exists today. View Now

Business Intelligence versus Data Science


The competitive advantages realized from a dependable Business Intelligence and Analytics (BI/A) program are well documented. Everything from reduced business costs and increased customer retention to better decision making and the ability to forecast opportunities have been observed outcomes in response to such programs. View Now

Insights into Modeling NoSQL

The growth of NoSQL data storage solutions have revolutionized the way enterprises are dealing with their data. The older, relational platforms are still being utilized by most organizations, while the implementation of varying NoSQL platforms including Key-Value, Wide Column, Document, Graph, and Hybrid data stores are increasing at faster rates than ever seen before. Such implementations are causing enterprises to revise their Data Management procedures across-the-board from governance to analytics, metadata management to software development, data modeling to regulation and compliance. View Now

Navigating the Data Governance Landscape: Analysis of How to Start a Data Governance Program

This report analyzes many challenges faced when beginning a new Data Governance program, and outlines many crucial elements in successfully executing such a program. View Now

Cognitive Computing: An Emerging Hub in IT Ecosystems

Will the “programmable era” of computers be replaced by Cognitive Computing systems which can learn from interactions and reason through dynamic experience just like humans? View Now

Status of the Chief Data Officer: An Update on the CDO Role in Organizations Today

Ask any CEO if they want to better leverage their data assets to drive growth, revenues, and productivity, their answer will most likely be “yes, of course.” Ask many of them what that means or how they will do it and their answers will be as disparate as most enterprise’s data strategies. To successfully control, utilize, analyze, and store the vast amounts of data flowing through organization’s today, an enterprise-wide approach is necessary. View Now

Why Your Business Users Need to Love Metadata

No business likes to throw money out the window, or in the case of the modern day enterprise, down the electronic data stream. View Now

The Question of Database Transaction Processing: An ACID, BASE, NoSQL Primer

There are actually many elements of such a vision that are working together. ACID and NoSQL are not the antagonists they were once thought to be; NoSQL works well under a BASE model, but also some of the innovative NoSQL systems fully conform to ACID requirements. View Now

The Utilization of Information Architecture at the Enterprise Level

This report investigates the level of Information Architecture (IA) implementation and usage at the enterprise level. The primary support for the report is an analysis of a 2013 DATAVERSITY survey on Data and Information Architecture. View Now

Unstructured Data and the Enterprise

In its most basic definition, unstructured data simply means any form of data that does not easily fit into a relational model or a set of database tables. Unstructured data exists in a variety of formats: books, audio, video, or even a collection of documents. In fact, some of this data may very well contain a measure of structure, such as chapters within a novel or the markup on a HTML Web page, but not a full data model typical of relational databases. View Now

Three-Valued Logic

Much has been written and debated about the use of SQL NULLs to represent unknown values, and the possible use of three-valued logic. View Now

An Approach to Representing Non-Applicable Data in Relational Databases

Ever since Codd introduced so-called “null values” to the relational model, there have been debates about exactly what they mean and their proper handling in relational databases. View Now

NO E-R: Modeling for NoSQL Databases

Entity-relationship (E-R) modeling is a tried and true notation for use in designing Structured Query Language (SQL) databases, but the new data structures that Not-Only SQL (NOSQL) DBMSs make possible can’t be represented in E-R notation. View Now

Cardinality, Optionality, and Unknown-ness

This paper explores the differences between three situations that appear on the surface to be very similar: a data attribute that may occur zero or one times, a data attribute that is optional, and a data attribute whose value may be unknown. View Now

A Systematic Solution to Handling Unknown Data in Databases

Ever since Codd introduced so-called “null values” to the relational model, there have been debates about exactly what they mean and their proper handling in relational databases. View Now

The Hybrid Data Model

NoSQL database management systems give us the opportunity to store our data according to more than one data storage model, but our entity-relationship data modeling notations are stuck in SQL land. View Now

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