by Michael Brackett Past articles have explained the data description, data structure, and data integrity components of a formal data…
by Angela Guess Ben Rossi of Information Age recently wrote, “The growing hype surrounding data lakes is causing substantial confusion…
by Angela Guess A recent article in the Digital Energy Journal reports, “Oil and gas companies often have problems sustaining…
Big Challenges in Data Modelingr: Big Data – Myths, Misunderstandings and Mistakes from DATAVERSITY About the Webinar Big Data, Business…
by Michael Brackett Past articles have explained the data description, data structure, and data integrity components of a formal data resource architecture. The diagram below shows those three components in graphical form. The descriptive component consists of two sub-components for formal data names and comprehensive data definitions (The Missing Descriptive Component, A Suitable Descriptive Component). …
by Jennifer Zaino Know UnQL (Unstructured Query Language)? It was designed to be a community-supported, common database query language that could be used to access document-oriented databases from a range of vendors, enabling application portability across database engines and easing the load on application developers. Its SQL-like syntax was meant to be especially helpful to…
by Jelani Harper Gartner describes Open Source R—arguably the script of choice for Data Scientists and one of the most pivotal tools for creating advanced and predictive analytics—as “increasingly popular” (Herschel et al, 2014), while Forrester lauds its ubiquity. As one of the earliest champions of Open Source R, Revolution Analytics swiftly addressed its scalability…
by Karen Lopez I had a fabulous time last month chatting with Dan McCreary ( blog | twitter ) about NoSQL projects and data modeling. It was a follow up to my post NoSQL != NoDataModeling, where I wrote about telling the NoSQL data story. If you missed the show, you can listen now to the…
by Gil Allouche Big data is growing at an enormous rate. There’s more data than ever, and there are more industries beginning to institute big data technology too. Each day there emerge more and more ways in which big data can positively affect our lives and increase effectiveness and efficiency. It’s also becoming easier and…
by Keith Cawley According to the Social Science Research Network, 65% of individuals are visual learners. Past civilizations used simple visualizations to easily digest and comprehend information. Today, businesses use infographics, photos, and videos to connect with their customers. Forbes magazine stated, “Most of us process information based on what we see. Sure, we’ll share…
DATE: July 31, 2014 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This Webinar is Sponsored by: About the Webinar Building on the introductory work of a past webinar, we take a deep dive in the locking, replication, and failure modes of leading NoSQL databases. We focus on three main…
DATE: August 7, 2014 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Information professionals are working in a proverbial fishbowl, always under watchful scrutiny. Increases in regulations, data standards, and competitive environments, coupled with an explosion of information and data assets across the organization, have led to…
DATE: August 12, 2014 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar The Data Management Maturity (DMM) model is a framework for the evaluation and assessment of an organization’s data management capabilities. The model allows an organization to evaluate its current state data management capabilities, discover gaps…
by Michael Brackett Past articles have explained the data description, data structure, and data integrity components of a formal data resource architecture. The diagram below shows those three components in graphical form. The descriptive component consists of two sub-components for formal data names and comprehensive data definitions (The Missing Descriptive Component, A Suitable Descriptive Component). …
by Angela Guess Ben Rossi of Information Age recently wrote, “The growing hype surrounding data lakes is causing substantial confusion in the information management space, according to Gartner. Several vendors are marketing data lakes as an essential component to capitalise on big data opportunities, but there is little alignment between vendors about what comprises a…
by Angela Guess According to a new article out of the company, “FUJIFILM Recording Media U.S.A., Inc., a subsidiary of FUJIFILM Corporation, and the leading global manufacturer of data storage media, today announced that its deep storage and archiving solution – Dternity – is now compatible with NetApp, Windows, Linux, Novell and most file systems. Dternity gives IT and data administrators the flexibility they need to move and storedata, and now…
by Angela Guess A recent article in the Digital Energy Journal reports, “Oil and gas companies often have problems sustaining data quality. They have a big project to clean up their data, but then after that it starts to degrade, said Ed Evans, co-founder and managing director of UK oil and gas data and software…
by Angela Guess Mike Wheatley of Silicon Angle recently wrote, “Data is valuable. As the challenge of protecting customer data mounts, more and more businesses are embracing data-governance strategies to manage the information that serves as the lifeblood of the company. Without a doubt, data has become the raw material of the information economy, and…
by Angela Guess A new article out of Stibo Systems reports that “Uline, a leading distributor of shipping, industrial and packaging materials to businesses throughout North America, has implemented Stibo Systems’ Master Data Management (MDM) solution to proactively manage product information as it flows across the organization. Using STEP, Uline is generating accurate and organized information for more than…
Big Challenges in Data Modelingr: Big Data – Myths, Misunderstandings and Mistakes from DATAVERSITY About the Webinar Big Data, Business Analytics, Data Analytics, NoSQL, Relational . . . do we even agree on what we mean by those terms? In this panel session, industry thought leaders will discuss and debate the most common myths, truths,…
by Angela Guess Miguel Helft of Fortune recently wrote, “You’ve heard the story before. A couple of whiz kids meet at an elite college, bond over their love of computers, and after a few late-night hacking sessions, build a website or an app… At first glance, Nat Turner and Zach Weinberg seem to fit the…
by Angela Guess Jonathan Salem Baskin of Forbes recently wrote, “When the last helicopter rose above the American embassy in Saigon on April 29, 1975, the US had been winning the Vietnam War for over a decade. The data said so. The strategy had been driven by a simple hypothesis, proven by history: Wars were…
by Angela Guess Ben Rossi of Information Age recently wrote, “The growing hype surrounding data lakes is causing substantial confusion in the information management space, according to Gartner. Several vendors are marketing data lakes as an essential component to capitalise on big data opportunities, but there is little alignment between vendors about what comprises a…
by Angela Guess A new article out of the company reports, “Accenture has been named a ‘Leader’ in independent analyst firm Gartner Inc.’s first Magic Quadrant for Business Analytics, Worldwide and was positioned furthest within the Leaders quadrant on the ‘completeness of vision’ axis and highest on the ‘ability to execute’ axis. The new Magic Quadrant evaluates…
by Jelani Harper Gartner describes Open Source R—arguably the script of choice for Data Scientists and one of the most pivotal tools for creating advanced and predictive analytics—as “increasingly popular” (Herschel et al, 2014), while Forrester lauds its ubiquity. As one of the earliest champions of Open Source R, Revolution Analytics swiftly addressed its scalability…
by Angela Guess Jonathan Salem Baskin of Forbes recently wrote, “When the last helicopter rose above the American embassy in Saigon on April 29, 1975, the US had been winning the Vietnam War for over a decade. The data said so. The strategy had been driven by a simple hypothesis, proven by history: Wars were…
by Karen Lopez I had a fabulous time last month chatting with Dan McCreary ( blog | twitter ) about NoSQL projects and data modeling. It was a follow up to my post NoSQL != NoDataModeling, where I wrote about telling the NoSQL data story. If you missed the show, you can listen now to the…
Big Challenges in Data Modeling: NoSQL and Data Modeling from DATAVERSITY To view just the slides from this presentation, click HERE>> About the Webinar Big Data and NoSQL have led to big changes In the data environment, but are they all in the best interest of data? Are they technologies that “free us from the…
by Jennifer Zaino Know UnQL (Unstructured Query Language)? It was designed to be a community-supported, common database query language that could be used to access document-oriented databases from a range of vendors, enabling application portability across database engines and easing the load on application developers. Its SQL-like syntax was meant to be especially helpful to…
by Angela Guess We are pleased to announce the keynote speakers and their discussion topics for the NoSQL Now! 2014 Conference taking place this August in San Jose, CA. The release states, ” The fourth annual NoSQL Now! Conference and Expo (NoSQL Now!) is the largest vendor-neutral forum focused on NoSQL (Not Only SQL) technologies. In…
by Angela Guess According to a new article out of the companies, “FoundationDB, the company behind next generation database software that uniquely combines scalability and consistency, today announced a technology partnership with DataRPM, the industry pioneer in cognitive big data discovery & analytics platform. The integration allows users to perform data analysis, discovery and natural language…
by Jelani Harper Gartner describes Open Source R—arguably the script of choice for Data Scientists and one of the most pivotal tools for creating advanced and predictive analytics—as “increasingly popular” (Herschel et al, 2014), while Forrester lauds its ubiquity. As one of the earliest champions of Open Source R, Revolution Analytics swiftly addressed its scalability…
by Jennifer Zaino As a data professional, how much of your time is spent working on fixing up your data, rather than working on answering questions and solving problems with your data? On average data cleansing and transformation takes up 80 percent of data professionals’ time, according to Joseph Hellerstein, a Chancellor’s Professor of Computer…
by James Kobielus Increasingly, the best websites aren’t so much designed as calculated. And that calculation, more often than not, rides on a never-ending campaign of A/B testing. And the A/B testing, in turn, is under the constant supervision of data scientists running one real world experiment after another. The calculations for modern website optimization…
Big Challenges in Data Modelingr: Big Data – Myths, Misunderstandings and Mistakes from DATAVERSITY About the Webinar Big Data, Business Analytics, Data Analytics, NoSQL, Relational . . . do we even agree on what we mean by those terms? In this panel session, industry thought leaders will discuss and debate the most common myths, truths,…
Understanding the New World of Cognitive Computing from DATAVERSITY To view just the slides from this presentation, click HERE>> About the Webinar Cognitive Computing is a rapidly developing technology that has reached practical application and implementation. So what is it? Do you need it? How can it benefit your business? In this webinar a panel…
Real-World Data Governance: Metadata to Empower Data Stewards – Introducing the Idea of the OMS from DATAVERSITY To view just the slides from this presentation, click HERE>> About the Webinar Metadata is the most valuable tool of the Data Steward. Where the stewards get their metadata and how they participate in the process of delivering…
