Data Modeling


Data modeling is the process of designing and validating a database. Logical and physical data models contain terms and symbols to identify and represent all of the data objects needed for a business operation to function.


BlogIf you are an aspiring data scientist, I hope this will help your understanding of how to use data mining to help solve business problems.
As organizations looks to get more value from their data, master data management is getting increased attention this year. This newly-released listing from The MDM Institute offers great insights on 20 top products you should consider.
FeatureCompanies today are much better equipped to remotely monitor assets and put in place a more intelligent system that senses the state of various components and predicts the type of maintenance required.
FeatureGiven a system that heavily utilizes machine learning, what are the things that make its performance go up: the domain experts or the lack of these? For me it is clearly the former and here I will defend why.
FeatureWhen you start connecting all business entities such as customers, products, accounts, and locations in many-to-many relationships, you start getting newer insights into your customer’s needs and preferences.
There seems to be no end in sight when it comes to high demand for data professionals. But just how well an individual can cash in on that trend depends on their job experience, location, and acquired skills. This week we look at how all those factors impact the paycheck. Today we review the pay premiums being paid in 2016 for the top noncertified data skills.
Data professionals continue to be among the most in-demand in the job market, but what they earn -- or you should be paying -- depends on industry experience, location, technical skills, and contribution to the bottom line. This week we look at how data professionals can earn top dollar, depending on job focus, certifications earned, and skill concentrations. In part one we look at the top paying data certifications.
NewsSelf-service data preparation is one of the key components in an effective analytics strategy, the Bedford, MA-based firm noted in its announcement.
FeatureTo avoid getting stuck in a recurring bad dream of clusters, nodes, failed jobs, vanishing Hadoop admins, and more, here are some pieces of advice from grizzled veterans.
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BlogOver the last month or so, I've assembled a few scripts to showcase the web-scraping capabilities of R and python.
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BlogSolving a problem with Data Science means identifying a real business problem, wrangling the relevant data, finding the right model, and delivering actionable insights to decision makers.
Research firm Gartner has unveiled its picks for the Magic Quadrant for Advanced Analytics Platforms. Yesterday we looked at the top firms in the “Leaders” and “Challengers” quadrants. Today we examine the “Visionaries” and “Niche Players”.

The Database as a Service (DaaS) model is growing its presence across the virtual globe. Enterprises are asking whether DaaS is mature enough to meet their low-cost and high-security data management requirements using a cloud paradigm. Companies are deploying virtualized applications and, as a consequence, they are asking for Relational Cloud as well. Dynamic scalability, privacy, performance and heterogeneous environments or interfaces to business intelligence products ask for a class of solutions to satisfy the cloud paradigm as a whole. Data modeling supports DaaS in that it provides a clear mapping of the deployed data structures, storage and data topology as well as the core business concepts. In this way, CA ERwin Data Modeler enables organizations to collect and serve data models from and to any web data source and data management system in the cloud.
Data Discovery and Profiling is a relatively new data management technique that uses tools to identify all data sources throughout the organization and unearth the meaning of the information itself. As with any new paradigm, today’s budget holders and decision makers must first be educated on data discovery and profiling and then shown the value it can bring to the organization through a clear return on investment (ROI) analysis.
Read the usability comparative product review by Craig Boyd as he ranks CA ERwin against PowerDesigner and ER/Studio. All three tests involved modeling for a Microsoft SQL Server 2008 environment.
Data modeling is a time-proven method for understanding data, its interrelationships and its rules. Data management professionals have long understood the value of data modeling. However, business professionals often don’t understand the value of data modeling. So how can you demonstrate to business management the return on investment (ROI) of data modeling? Read this white paper and find out.
In today’s information-driven economy, more and more organizations rely on business intelligence (BI) applications to make strategic business decisions. A BI report is only as good as the database on which it is built, however, and a data model is key to understanding both the business and technical requirements behind the construction of a BI solution. CA ERwin and SAP BusinessObjects BI solutions provide a powerful combination to produce best-of-breed reporting and analytics, along with with robust data modeling and database design capabilities.
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