▼ Scroll to Site ▼

Newsletters




Data Modeling

Data Modeling and Database Design and Development – including popular approaches such as Agile and Waterfall design - provide the basis for the Visualization, and Management of, Business Data in support of initiatives such a Big Data Analytics, Business Intelligence, Data Governance, Data Security, and other enterprise-wide data-driven objectives.



Data Modeling Articles

Hershey's LLC recently deployed the Infosys Information Platform on AWS to analyze retail store data.

Posted March 31, 2016

The traditional information engineering approach advocates the placement of as much business logic as possible inside the database management system (DBMS). But, more recently, under the umbrella of service-oriented architecture (SOA), folks are arguing for placement of that business logic in a layer of code outside the DBMS. Occasionally, those who favor locating business logic outside the DBMS have even gone so far as to say that this logic "naturally" belongs in a non-DBMS-supported layer.

Posted March 31, 2016

What can you learn from the structure of an email and what really constitutes as a "good" post? What kinds of data can you grab to create the best marketing campaign? Matt Laudato will address those questions during his presentation, titled "Supercharging Your Marketing with Big Data," at Data Summit 2016 in NYC.

Posted March 31, 2016

Teradata has introduced a new "design pattern" approach for data lake deployment. The company says its concept of a data lake pattern leverages IP from its client engagements, as well as services and technology to help organizations more quickly and securely get to successful data lake deployment.

Posted March 28, 2016

The digital economy promises to redefine nearly every aspect of a company's operations—from raw material procurement through post-sale services. Yet, some of the most dramatic changes will be seen in how companies evolve their product portfolios and leverage digital capabilities.

Posted March 25, 2016

The rise of big data technologies in enterprise IT is now seen as an inevitability, but adoption has occurred at a slower pace than expected, according to Joe Caserta, president and CEO of Caserta Concepts, a firm focused on big data strategy consulting and technology implementation. Caserta recently discussed the trends in big data projects, the technologies that offer key advantages now, and why he thinks big data is reaching a turning point.

Posted March 23, 2016

SAP SE's newest in memory query engine, SAP HANA Vora, is now generally available, equipping enterprises with contextual analytics across all data stored in Hadoop, enterprise systems, and other distributed data sources.

Posted March 23, 2016

To spread the word on the best information management solutions in the marketplace, Database Trends and Applications has launched the 2016 DBTA Readers' Choice Awards, a program in which the winners will be selected by the experts whose opinions count above all others - you. Time is running out so make your nomination now.

Posted March 23, 2016

The Independent Oracle Users Group (IOUG) has represented the voice of Oracle technologists and professionals for more than 20 years, and we are so proud of how our community has not just grown but maintained its adaptive approach that centers on peer-to-peer education and know-how. We hope that you share our sense of pride as we celebrate the technology community's marquee event: COLLABORATE 16-IOUG Forum.

Posted March 23, 2016

Few of us working in the software industry would dispute that agile methodologies represent a superior approach to older waterfall-style development methods. However, many software developers would agree that older enterprise-level processes often interact poorly with the agile methodology, and long for agility at the enterprise level. The Scaled Agile Framework (SAFe) provides a recipe for adopting agile principles at the enterprise level.

Posted March 23, 2016

Data discovery should drive BI in order to support data-driven competencies for evolving data-centric organizations. However, organizations often struggle with bottlenecks and excessive friction while retrieving meaningful insights.

Posted March 22, 2016

The OAUG volunteers planning COLLABORATE 16: Technology and Applications Forum for the Oracle Community (April 10-14 at Mandalay Bay in Las Vegas) are themselves Oracle users and technologists, understanding innately the myriad options and challenges faced by the wider user community in a period of rapid change and transformation. With participation and contributions from all corners of the user community, COLLABORATE offers the information and perspective to make sense of it all.

Posted March 21, 2016

Embarcadero Technologies, provider of database lifecycle management solutions, is enhancing its ER/Studio platform, focusing on better collaboration and communication within enterprises.

Posted March 16, 2016

In a new book titled "Next Generation Databases," Guy Harrison, an executive director of R&D at Dell, shares what every data professional needs to know about the future of databases in a world of NoSQL and big data.

Posted March 08, 2016

Every DBA should take advantage of the mechanisms provided by the DBMS to ensure data integrity. When DBMS-provided methods are used, fewer data integrity problems are likely to be found. Fewer data integrity problems mean higher quality databases and more proficient end users.

Posted March 03, 2016

When it comes to operational, third normal form approaches, too many database models today have very low levels of business veracity. This is because current IT trends work against incorporating too much truth inside the entity-relationship diagram. Instead, development teams center on the finished product and excessively worry about describing a solution rather than describing the actual organization.

Posted March 03, 2016

DBmaestro, a provider of DevOps for database solutions, has released TeamWork version 5.0 which includes a new pipeline builder that enables users to visually describe the database environment and the deployment flow. DBmaestro has also introduced stronger compliance and audit capabilities for the database.

Posted February 17, 2016

The Data Summit 2016 conference schedule of sessions and speakers is now available online. Presented by Database Trends and Applications and Big Data Quarterly, the 2-day event (Tuesday, May 10, and Wednesday, May 11) will bring together IT managers, data architects, application developers, data analysts, project managers, and business managers for a deep dive into the key technologies and strategies for becoming a data-informed business.

Posted February 12, 2016

Oracle has introduced a new Big Data Preparation Cloud Service. Despite the increasing talk about the need for companies to become "data-driven," and the perception that people who work with business data spend most of their time on analytics, Oracle contends that in reality many organizations devote much more time and effort on importing, profiling, cleansing, repairing, standardizing, and enriching their data.

Posted February 10, 2016

Data constraint - which hinders the ability to easily provision parity data from production data sources for use in development environments, QA, UAT (user acceptance testing), and integration testing - can lead to complications in application development such as insufficient resources, bad quality data which leads to bugs, and slow environment builds.

Posted February 01, 2016

Data Summit, a comprehensive educational experience designed to guide attendees through the key issues in data management and analysis, is coming to the New York Hilton Midtown. Data Summit also features two co-located events: Hadoop Day and Virtualization Day. In addition, the IOUG will participate in Data Summit again this year presenting a track focused on big data in the cloud and the evolution of the data warehouse.

Posted January 26, 2016

Datical, a provider of agile database automation solutions founded in 2012, has added $8 million in Series B funding, led by S3 Ventures with participation from existing investors Mercury Fund and Austin Ventures. According to the vendor, automation at every level is a key element of DevOps, but the database is often overlooked or becomes an afterthought when companies adopt this modern approach to software delivery.

Posted January 26, 2016

Join IT practitioners and business stakeholders alike for the third annual Data Summit conference at the New York Hilton, May 9-11, 2016. Discounted pricing is available for a limited time.

Posted January 08, 2016

MicroStrategy is releasing an updated version of its analytics platform that will make it easier than ever to build apps and dashboards, offer speedy deployment, and improve governance.

Posted January 07, 2016

Data modelers must look at the big picture of an organization's data ecosystem to ensure additions and changes fit in properly. Simultaneously, each data modeler must be focused on the minute details, adhering to naming standards, domain rules, data type practices, still remaining ever vigilant for instilling consistency across everything they do. And while focused on all of the above, their efforts must culminate in a practical model that serves the individual project's requirements while also being implementable, maintainable, and extensible.

Posted January 07, 2016

Traditionally, the cardinal rule has been to model data first and load it later. But with new technologies and repositories such as Hadoop, NoSQL, and data lakes, and big data itself, the rule is being flipped to load first and model later. And, with SQL remaining an effective and widely embraced query language, companies have to balance working with traditional methods against the need for some of the newer methods as well.

Posted January 06, 2016

In 2015, big data, mobility, IoT, expanding requirements for security and real-time analytics and the introduction of the Cognitive Era continued to place greater pressure on IT organizations. Linux and open source technologies are at the center of many of the most innovative software and hardware solutions that are addressing emerging enterprise requirements. Here's a look back at some of the most significant announcements in Linux and open source technology of 2015.

Posted December 16, 2015

Looking ahead to 2016 David Jonker, senior director of big data at SAP, offered six key business and technology trends that will take the market by storm, including a continued interest in in-memory processing, enablement of real-time data and analytics, and an increased focus on advanced analytics and machine learning.

Posted December 16, 2015

It is often said that the only constant is change. For data executives and professionals, the coming year will only bring a lot more of it. Developments as diverse as cloud, big data, real time, NoSQL, analytics, and the Internet of Things (IoT) will continue to reshape enterprise data operations and opportunities as we know them. Here are 16 trends that will shape the enterprise data landscape in 2016.

Posted December 16, 2015

What's ahead for 2016 in terms of cloud, IoT, big data, analytics, and open source technologies? IT executives gaze into their crystal balls, and weigh in on the upcoming challenges and opportunities ahead in the next year - and beyond.

Posted December 16, 2015

Our data models, in reflecting a specific business, must accurately portray the essence of each business. The unique reality within each organization drives the shape of every data model. The logical meaning of each data element originates with what is actually done and how it is accomplished within that particular organization.

Posted December 02, 2015

As 2015 draws to a close it's time to look back on the year's big changes in data management and reflect on some of the most insightful observations by leading data experts. Here, Big Data Quarterly presents a round-up of thought-provoking articles that explore some of the key advances of 2015, how organizations are harnessing what big data has to offer, and the challenges they face as they seek to compete on analytics.

Posted December 02, 2015

With increased demand for mass customization and personalization, the emergence of Web 2.0, and one-to-one marketing, and the need for better risk management and timely fraud detection, the pressure is on for organizations to improve their ability to extract, understand, and exploit analytical patterns of customer behavior and strategic intelligence.

Posted November 12, 2015

Many neophyte data modelers have trouble distinguishing between logical and physical data models. These novices likely cannot explain why each model exists, or the differences expressed between them. Sadly, such confusion also exists in the realm of the experienced data modeler. Not to say an experienced data modeler can't express the difference between a logical and a physical data model; but across a group of experienced data modelers one would not get a consistent answer.

Posted November 09, 2015

Organizations are getting squeezed, said Mark Hurd, Oracle CEO, in his Monday morning keynote at Oracle OpenWorld 2015. They have old infrastructure; there is the need for innovation but also great pressure to do things such as increase security and adhere to governance mandates which are not innovative; and also pressure to keep costs flat, without increasing IT costs. "This is why the cloud is such a big deal," said Hurd, sharing his list of top 5 predictions for 2025.

Posted November 04, 2015

The Agile methodology is great for getting turgid development teams to start working faster and more coherently. With Agile, which focuses on more rapid, incremental deliverables and cross-departmental collaboration, the bureaucratic plaque is flushed from the information technology groups' arteries. But there is a dark side to Agile approaches.

Posted October 21, 2015

Pages
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23

Sponsors