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Data Warehousing

Common Ground: Solving the Survey-GIS Gap

November 29, 2016 by Ron Bisio

Surveying and GIS both provide answers to the same basic questions: “Where is it?” “What is it?” “How does it relate to things around it?” “What about it is interesting or important?” And they both seek to address the most important question: “How can I get the information to people who need it?” So, given the similarities, why the gap, be it real or perceived?[read more]

IoT's role growing as cities are pressed to get smarter

November 11, 2016 by CIO Dive

Cities are looking to the Internet of Things to help them track and report on sustainability and climate change goals required under various environmental regulations such COP 21 and Horizon 2020.[read more]

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Want to Fully Leverage Data? Change the Way You Operate

November 9, 2016 by Rado Kotorov

We’re on the edge of a paradigm shift in the way organizations operate–and rightfully so. New technologies are developed daily and will only contribute to even larger volumes of information. To take advantage of the value data holds, enterprises need different skill-sets, decision-making structures and a new lens for evaluating business challenges.[read more]

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Responding to a Data Breach Starts at the Top

November 8, 2016 by Ryan Ayers

Data breaches can tarnish a company’s reputation, making it very difficult to win back customer loyalty and support. A leader’s response to a data breach can mean the difference between damage control and total chaos.[read more]

From Operations to Insights: Business Analytics Meets NoSQL

November 3, 2016 by Eran Levy

Many people love NoSQL databases because they can throw their data into them without a care (almost) and let the NoSQL database sort out the storage. Writes and reads of “lumps” of data can be blazingly fast, making them favorite tools for many developers seeking performance for their applications. But analytics? If you’ve thrown in your...[read more]

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Hybrid Systems Integrations for Right Sized ERP

November 2, 2016 by Glenn Johnson

Finding the right integration strategy across ERP, CRM, Warehouse Management, PLM and cloud environments[read more]

Why You Should Already Have a Data Governance Strategy

October 21, 2016 by Eran Levy

Garbage in, garbage out. This motto has been true ever since punched cards and teletype terminals. Today’s sophisticated IT systems depend just as much on good quality data to bring value to their users, whether in accounting, production, or business intelligence. However, data doesn’t automatically format itself properly, any more than...[read more]

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The Benefits of Semantic-Based Data Modeling in the Smart Data Lake Era

October 18, 2016 by Sean Martin

The driving force behind enterprise data analytics today is obtaining valuable insights more quickly from large, diverse data sets. A key issue blocking easier access for data scientists, business analysts and IT has been finding an alternative to the current data modeling process.[read more]

Demystifying Data Warehouses, Data Lakes and Data Marts

October 12, 2016 by Eran Levy

As data and analytics become a more integral part of business processes in an organization, so the non-DBAs among us might start to feel lost in a sea of technical terms which are frequently thrown around by technical teams.[read more]

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Gaining the Millennial Digital Storage Market With Metadata and Tagging

October 3, 2016 by Jonathan Ring

It’s no longer enough to simply store data — you have to give people the ability to quickly and easily search through massive amounts of data and retrieve the information they need.[read more]

Teradata Takes On Cloud and Developers with Big Data & Analytics

September 23, 2016 by Dave Menninger

Teradata recently held its annual Partners conference, at which gather several thousand customers and partners from around the world. This was the first Partners event since Vic Lund was appointed president and CEO in May. Year on year, Teradata’s revenues are down about 5 percent, which likely prompted some changes at the company....[read more]

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Are Smart Data Lakes the Answer to Data Warehouses?

August 2, 2016 by Sean Martin

A phenomenal shift has occurred over the past few years in the enterprise data world. The ubiquitous data warehouses – the foundation for business intelligence and data discovery for several decades – are now becoming obsolete due to the emergence of data lakes. While both data warehouses and data lakes have their pros and cons, a new era of ‘smart’ data lakes based on semantic technology is emerging that can reduce the disadvantages of either, creating a clear path for the industry.[read more]

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Greening the Workplace 1.0: Going Paperless

July 11, 2016 by Chris Barry

Several new technologies allow you to transform your office into a less wasteful and more energy efficient space - and it starts with reducing paper usage.[read more]

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How Smart Data Lakes are Revolutionizing Enterprise Analytics

June 3, 2016 by Sean Martin

As the quantity and diversity of relevant data grows within and outside of the enterprise, business users and IT are struggling to extract maximum value from this data. Fortunately, recent developments in big data technologies have significantly impacted the proficiency of contemporary analytics – the most profound of these involving the deployment of semantically enhanced Smart Data Lakes.[read more]

Apache Spark and Hadoop: The best big data solution for enterprises

June 1, 2016 by Jagadish Thaker

The term big data has become the center of attention for enterprises. In the past, business decisions have been made on the basis of transactional data stored in relational databases. This is known as traditional data, which is in structured form and easy to analyze for getting business insights.Apart from this critical business data,...[read more]