Big Data Modeling Improves Business Intelligence

The Data Administration Newsletter

Through big data modeling, data-driven organizations can better understand and manage the complexities of big data, improve business intelligence (BI), and enable organizations to benefit from actionable insight.

Maximizing Your Data Fabric’s ROI via Entity Data Modeling

Dataversity

Data fabrics are emerging as the most effective means of integrating data throughout the enterprise. They deliver a single access point for all data regardless of location — whether it’s at rest or in motion. Click to learn more about author Dr. Jans Aasman.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Big data technology has been instrumental in helping organizations translate between different languages. We covered the benefits of using machine learning and other big data tools in translations in the past. How Does Big Data Architecture Fit with a Translation Company?

Where Is the Data Technology Industry Headed?

Dataversity

This announcement is interesting and causes some of us in the tech industry to step back and consider many of the factors involved in providing data technology […]. The post Where Is the Data Technology Industry Headed? Click here to learn more about Heine Krog Iversen.

Why the Next Generation of Data Management Begins with Data Fabrics

Dataversity

However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark.

None Shall Pass! Are Your Database Standards Too Rigid?

The Data Administration Newsletter

Rigidly adhering to a standard, any standard, without being reasonable and using your ability to think through changing situations and circumstances is itself a bad standard. I guess I should quickly define what I mean by a “database standard” for those who are not aware.

Why Enterprise Data Planning Is Crucial for Faster Outcomes

Dataversity

Are you planning on strategically using data to improve the efficiencies of your value chains? This can happen with artificial intelligence models that can make a journey interesting for […]. Click to learn more about author Tejasvi Addagada.

Rethinking Extract Transform Load (ETL) Designs

Dataversity

Are you in a work environment where streaming architecture is not yet implemented across all IT systems? Click to learn more about author Aditi Raiter.

Becoming a Prized Data Warehouse and Data Integration Tester

Dataversity

Data warehouse (DW) testers with data integration QA skills are in demand. Data warehouse disciplines and architectures are well established and often discussed in the press, books, and conferences. Each business often uses one or more data […].

Video – ‘Basics of data modelling – Part 1’

Capiro

This video introduces the basics of data modelling. Data modelling is fundamental to creating a business level data architecture. The business view is of course highly simplified; we are trying to explain data modelling, not the business of insurance. The concept identifies the attributes, or data items, for each concept. Data modelling at the business level is sometimes described as concept modelling.

Data Management 20/20: The Unacceptable Cost of Bad Data – Part 1

The Data Administration Newsletter

“…quite simply, the better and more accessible the data is, the better the decisions you will make.” – “When Bad Data Happens to Good Companies,” (environmentalleader.com) The Business Impact of an organization’s Bad Data can cost up to 25% of the company’s Revenue (Ovum Research) Bad Data Costs the US healthcare $314 Billion. (IT

Converting Big Data into Actionable Intelligence

The Data Administration Newsletter

In today’s world, access to data is no longer a problem. There are such huge volumes of data generated in real-time that several businesses don’t know what to do with all of it. Unless big data is converted to actionable insights, there is nothing much an enterprise can do.

The Data-Centric Revolution: Fighting Class Proliferation

The Data Administration Newsletter

One of the ideas we promote is elegance in the core data model in a Data-Centric enterprise. Look at most application-centric data models: you would think they would be simpler than the enterprise model, after all, they are a small subset of it.

Enterprise Data Management — Driving Large-Scale Change in Your Organization

Sisense

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive.

Analyst, Scientist, or Specialist? Choosing Your Data Job Title

Sisense

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! Data Scientist. Data Analyst. Data analyst vs. data specialist.

Why Your BI and Analytics Platform Should be Cloud-Agnostic

Sisense

With the introduction of VMware in the 1990s, developers embraced the ability to run their applications on virtual machines that could then run on any physical machine architecture. Developers are no longer constrained to a physical machine’s architecture, running their applications entirely on the cloud. What does it mean for your data? Let’s dive into what you should consider in a BI platform to ensure you’re protecting and future-proofing your company’s data strategy.