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Webcast - Everyone's A Publisher | TechRepublic & MarkLogic

Webcast - Everyone's A Publisher | TechRepublic & MarkLogic | Big Data - Applications and Use Cases | Scoop.it

Wednesday, January 23, 2013 - 11:00 am ET / 8:00 am PT / 16:00 GMT

 

Dominic Spitz's insight:

Your customers are being inundated with content all day long from companies like yours that are trying to engage. How do you make sure that the most relevant content is in their inbox? How do your marketing and sales teams keep up with content requests?

In this 60-minute webinar, join MarkLogic colleagues Matt Turner, CTO Media Solutions and Diane Burley, Chief Content Specialist. Both Turner and Burley have come from the break-neck world of media - where deadlines are yesterday and updates are constant.

For marketers who need to get consistent, contextually relevant messages across all possible touch points, they need the flexibility of an agile brand management platform. Take a page from some of the world's largest media companies - and build a dynamic publishing platform - powered by MarkLogic.

Please be sure to join us and learn how to:

Ensure a consistent brand experienceGain efficiencies in the creation of content

 

Leverage content components across channels

 

"Apply the learnings" on the content consumption

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Big Data - Applications and Use Cases
Making the Shift from Possible to Proven
Curated by Dominic Spitz
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Big Data: the collateral optimisation opportunity

Big Data: the collateral optimisation opportunity | Big Data - Applications and Use Cases | Scoop.it
Community Blogs, comments and opinions by industry professionals

Via Adrian Carr
Dominic Spitz's insight:

http://www.marklogic.com/solutions/financial-services/

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Adrian Carr's curator insight, April 26, 2013 9:34 AM

A great article from Jon Warren detailing the transformation which banks are undertaking right now.

The regulatory pressure continue to hit, wave after wave and will not stop.

Banks have to change the way they process data which leads to a change in the way they store data in order to respond quickly not just to regulator investigation but also to ensure tha banks become more agile in the future.

The only way to avoid the pitfalls of recent years is to have access to up to the minuet accurate data on trades, investments, risk exposure etc.

When these aspects are managed in 10s or 100s of databases that presents a problem.

In London alone, my team are having weekly meetings with the top ten global banks about these projects.  At different stages of progress/readiness and different levels of ambition.

Typically these banks have spent mnths trying to solve the problem with their incumbent RDBMS and then launched into a "science project" with either vanilla Hadoop or one of the many Open Source tools.

The challenge with the former is that a lot has to be built ontop of Hadoop to make it Enterprise ready and the trouble with the latter is similar.

Banks typically do not want systems which lack security, ACID compliance, failover/rollback, etc

This is why Marklogic is the ONLY Enterprise NoSQL database and why we are sought out by the big banks.

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Webcast - Everyone's A Publisher | TechRepublic & MarkLogic

Webcast - Everyone's A Publisher | TechRepublic & MarkLogic | Big Data - Applications and Use Cases | Scoop.it

Wednesday, January 23, 2013 - 11:00 am ET / 8:00 am PT / 16:00 GMT

 

Dominic Spitz's insight:

Your customers are being inundated with content all day long from companies like yours that are trying to engage. How do you make sure that the most relevant content is in their inbox? How do your marketing and sales teams keep up with content requests?

In this 60-minute webinar, join MarkLogic colleagues Matt Turner, CTO Media Solutions and Diane Burley, Chief Content Specialist. Both Turner and Burley have come from the break-neck world of media - where deadlines are yesterday and updates are constant.

For marketers who need to get consistent, contextually relevant messages across all possible touch points, they need the flexibility of an agile brand management platform. Take a page from some of the world's largest media companies - and build a dynamic publishing platform - powered by MarkLogic.

Please be sure to join us and learn how to:

Ensure a consistent brand experienceGain efficiencies in the creation of content

 

Leverage content components across channels

 

"Apply the learnings" on the content consumption

more...
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NoSQL, huh, what is it good for?…

…Actually quite a lot really. Say it again, y’all! In this post I try to dymystify NoSQL for the Relational DB crowd / average human, and give some real world examples of how NoSQL can ...
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Tony Agresta's curator insight, January 11, 2013 9:09 AM

To echo some of Adam's thoughts...In a recent key note by Mike Bowers of The Church of Latter Day Saints, Mike discussed why the NoSQL model is the best model for developing applications.  Here are some of his conclusions after years of working with all major classes of databases.

 

  • The NoSQL approach Increases developer productivity since it supports agile development without a schema
  • With NoSQL, you can handle rapidly changing requirements.
  • NoSQL handles deeply hierarchical, complex, and highly variable data structures
  • There is little-to-no impedance mismatch between application and database
  • JSON is the new lingua franca of the web
  • There's the potential to enable better search relevance including full-text search in context of document structure and full-featured queries of any data anywhere in a document.

 

Specific to the MarkLogic approach, Mike indicated that Enterprise Search capabilities clearly distinguished MarkLogic from the pack, a sentiment echoed by leading analysts around the world.    He went on to break down the most important aspects of this including:

 

  • Ability to Query to find multiple documents, a capability that is not as good in Mongo, poor in Riak and Cassandra.
  • MarkLogic stand alone in the category of search relevance and advanced search with facets, geospatial search and entity enrichment.
  • Data integration capabilities and data consistency are also unique differentiators and large contributors to developer productivity.

 

Enterprise readiness was discussed in detail during the key note.  More on that in another post.

 


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MarkLogic in Financial Services - Regulatory Compliance & Fraud Mitigation

MarkLogic in Financial Services - Regulatory Compliance & Fraud Mitigation | Big Data - Applications and Use Cases | Scoop.it
Visit MarkLogic.com to read Financial Services.
Dominic Spitz's insight:

Data management has been a challenge for financial institutions for decades. The industry has collectively spent billions of dollars over the years trying to create complete and accurate datasets, the so-called “golden copy.” Data management has improved, but most banks remain challenged whether they are looking for suspicious activity across silos or trying to comply with the heightened emphasis on transparency generated by a range of new regulatory initiatives. MarkLogic enables financial firms to unify structured and unstructured data which makes storage, search, analysis, and retrieval easier and faster. With a unified view of all their data banks can provide regulators with accurate information across the enterprise as well as respond to regulators’ requests in a timely manner.

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Database Revolution; Future of Information Publishing


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Ian Sykes's comment, January 2, 2013 11:39 AM
Hi Dominic Happy New Year. Yes I was impressed by this and included it on my Blog. Certainly clarifies a lot for 2013.
Adrian Carr's curator insight, April 30, 2013 1:38 PM

this is a great presentation - full of great insight into the market

Edwin's curator insight, March 19, 2014 10:30 PM

Future of Database development

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Situational Awareness with real time alerting - Adam's Big Data Discoveries

Situational Awareness with real time alerting - Adam's Big Data Discoveries | Big Data - Applications and Use Cases | Scoop.it

Every new platform has a killer application that sets it out from the crowd. Situational Awareness, I believe, is the killer app for NoSQL databases with real time alerting, like MarkLogic. In this post I explain what Situational Awareness is, how it is different from what has come before, and why MarkLogic is uniquely suited to solve this type of business problem.

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Dow Jones & Company Champions New Generation of User Experience for Factiva Customers

Dow Jones & Company Champions New Generation of User Experience for Factiva Customers | Big Data - Applications and Use Cases | Scoop.it

The new search technology, licensed from MarkLogic® Corporation, provides standardized search technology across the Dow Jones digital network, including Factiva, WSJ.com and Dow Jones Financial Services products, giving customers access to a deeper, broader search capability and the ability to mine and analyze content more quickly and effectively

 

Alisa Bowen, head of product, Dow Jones: "Standardized search technology not only provides a better experience for our customers, but also gives us a superior platform for developing new content applications and products across the company."

 

Our investment will enable users to find the exact information they need, faster and more efficiently than ever before. We are exceptionally well positioned to manage ever-growing volumes and types of content ranging from traditional publishers to social media."

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Architecture Overview — How does MarkLogic fit into your world?

Architecture Overview — How does MarkLogic fit into your world? | Big Data - Applications and Use Cases | Scoop.it
MarkLogic is the only Enterprise NoSQL Database...
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BBC & MarkLogic - Scaling to Olympic Proportions Webcast

BBC & MarkLogic - Scaling to Olympic Proportions Webcast | Big Data - Applications and Use Cases | Scoop.it

Find out how the BBC engaged with millions of viewers across desktops, mobiles, tablets and TVs through its 24 live-streams and 2500 hours of Video-on-demand (VOD).

 

Join Jem Rayfield from the British Broadcasting Corporation (BBC), as he joins MarkLogic’s Chief Content Specialist Diane Burley and her colleague Matt Turner, CTO of Media, to talk about what it took to migrate the BBC Future Media department from a relational content model and static publishing framework to a fully dynamic semantic publishing (DSP) architecture. The dynamic semantic publishing architecture underpins the recently re-launched and refreshed BBC Sports site and indeed the BBC’s Olympics 2012 online content.

 

In this webinar you will learn how

 

The BBC dramatically increased the breadth and depth of its content with a dynamic approach to webpage creation WHILE dramatically improving the efficiency of the editorial teams to create and manage pages

 

Live interactive statistics improved the online streaming experience

 

Editorial teams can focus on creating versus managing content

 

A Big Data platform allows the BBC to unify storage of all content data types including news, real-time data feeds and stats, user generated content and rich media metadata

 

An enterprise NoSQL approach allowed the BBC to launch this new system and break many new traffic and data records during the Olympics

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"Big" Social Media Analysis | MarkLogic

"Big" Social Media Analysis | MarkLogic | Big Data - Applications and Use Cases | Scoop.it

Agile Social Media Analysis for the Enterprise - The world’s leaders in measurement and information use MarkLogic to enable brand managers to monitor and analyze in real-time what’s being said online about their organization.

 

Social media is now the most popular online activity, but how do you find valuable insights in all the user-generated content on review sites and blogs, millions of Facebook posts, and billions of Tweets? MarkLogic Social Media Monitoring in conjunction with MarkLogic’s Enterprise NoSQL database analyzes all social media conversations in real-time, including dozens of attributes like influence, sentiment, volume, and demographics. It then detects actionable signals from the everyday noise and surfaces that information as it happens.

 

Users can drill down into conversations and understand drivers of positive and negative sentiments. They are also able to figure out what the most effective tools are, what needs to be discontinued because it doesn’t work, and what should be ramped up because it works. A good analytics system tells you where you need to focus. Brands are able to better understand and react to relevant activity, eliminating the need to sort through huge amounts of data.

 

 

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Astyran: There is No Security in NoSQL

Astyran: There is No Security in NoSQL | Big Data - Applications and Use Cases | Scoop.it

Via Adrian Carr, Dominic Spitz
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Adrian Carr's curator insight, March 7, 2013 3:33 AM

This blog raises the issue that most NoSQL vendors bury.

They have no security.

The first answer you will get is that it is not necessary and that security will be handled at the application layer.

Then you will be told it is on the road map.

But it takes several releases to 'harden' the security.

 

MarkLogic is classed as Enterprise NoSQL because Security is included to a givernment secuirty services level....I would love to name our Intell customers but....

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When Pirates Meet Advanced Analytics

When Pirates Meet Advanced Analytics | Big Data - Applications and Use Cases | Scoop.it
Seagoing criminals are always changing tactics. To catch them, uncover their hidden patterns.

Via Toni Sánchez, Tony Agresta
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Tony Agresta's comment, January 15, 2013 9:30 AM
This article is spot on - with so many different sources of data, identifying suspects can be challenging. The volume and variety of data stored in different systems makes the job of the intelligence officer almost impossible. But new approaches in big data technology allow data scientists to consolidate the data, including unstructured data. Tight integration with data visualization tools that talk to Enterprise NoSQL databases make it easier than ever to profile all of the data in support of identifying connections between people, events, locations and more. This approach has proven to work in some of the largest intelligence agencies in the world. It has been applied in local law enforcement, fraud detection, loss prevention, cyber security and social networking. Real time alerts make it possible to immediately notify analysts as big data streams into the NoSQL database meeting predefined conditions. But to do this you need an Enterprise approach to NoSQL one that is hardened, scales, meets security requirements and has disaster recovery and high availability as part of the foundational technology providing production grade implementations in less time.
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Financial Services | MarkLogic: Risk Management and Post-Trade Processing

Financial Services | MarkLogic: Risk Management and Post-Trade Processing | Big Data - Applications and Use Cases | Scoop.it
Visit MarkLogic.com to read Financial Services.
Dominic Spitz's insight:

By consolidating separate copies of data into a single database, banks can more effectively assess and manage the risks associated with their trading activities. Eliminating multiple databases has the additional benefit of significantly reducing maintenance costs. Benefits include risk reduction as well as lower costs per trade resulting in a competitive advantage over peers using legacy systems. Learn how a top 5 global trading bank achieved this objective using MarkLogic.

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MarkLogic in Financial Services - Customer On-Boarding

MarkLogic in Financial Services - Customer On-Boarding | Big Data - Applications and Use Cases | Scoop.it
Visit MarkLogic.com to read Financial Services.
Dominic Spitz's insight:

Most financial institutions are faced with multiple systems. Some were initially built to improve efficiency. Others are the result of mergers, which further added to the landscape of diversified systems across departments and geographies. These systems have turned into silos of information creating barriers for bank employees to obtain valuable and complete information on customers. New regulatory requirements have also created a need to bring all these disparate systems through a single access point. Learn how MarkLogic and its partner 30 Digits enabled a leading global bank achieve the next level of customer on-boarding.

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MarkLogic® and Tableau Deliver Analytics and Visualization Over Unstructured Data | MarkLogic

Business users can now harness the power of Tableau’s award-winning business intelligence and reporting solutions to access disparate data sets of structured and unstructured data stored in a MarkLogic database.
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Mason Powers's curator insight, December 19, 2012 3:27 PM

Organizations are struggling to manage, and more importantly, extract valuable insights from unstructured data.  This webinar presents a solution to this problem, using technologies analysts already know, with a purpose-built technology in the background (MarkLogic's Enterprise NoSQL Database) that easily exposes all of your data (structured, semi, and unstructured), to Tableau's B.I. and reporting capabilities.

 

Streamlining operations while seamlessly delivering intelligence that is derived from ALL of your data, not just the "easy" data. 

Tony Agresta's comment, December 20, 2012 12:01 PM
If you missed this one, the replay will be available soon at www.marklogic.com. In the meantime, here are the Top 10 points made during the presentation plus a short description of the demo that was done. I’ll update this post with the link to the recording as soon as it’s available - 1) The "Value" of big data is essential – When it comes to analytics, this could easily be the 4th "V" in big data in addition to volume, velocity and variety. Analytics allows you to determine and apply value in your organization. 53% of the respondents on the webinar felt that data integration is the most significant challenge they face. 2 ) User adoption of analytical technology is driven by ease of use and robust functionality. Many software companies have struggled with this basic premise. Tableau has gotten it right creating competitive distinction and increasing customer satisfaction. 3) When combined with an Enterprise NoSQL approach that includes native Search capabilities, data can be exposed to Tableau in a highly scalable, secure environment that includes point in time recovery and real time ingestion, among other capabilities. 4) “Dark data” (data previously ignored by the enterprise) can now be monetized through unified information access and data visualization that provide “angles of analysis”. These angles reveal the value. In this context, “angles” refers to visualizations and interactivity allowing users to discover meaning. 5) Loading data “as is” using a schema-less database (and also search the data in real time) can dramatically shorten the cycles from data ingestion to decisions. This premise is especially important in mission critical applications across healthcare, government, financial services and media markets, to name a few. 6) Text mining tools provide context through “markup” that add value to the data. A big data solution that includes natural language processing and semantics can enhance that meaning and may be needed, depending on the data problem at hand. 7) Hadoop is now part of the MarkLogic platform allowing users to store the data and make it available to MarkLogic “on demand”. This staging area is important because of the sheer volume, velocity and variety of data coming in. 8) Visualization is the last key component of this big data technology stack and hence the partnership between MarkLogic and Tableau. 9) MarkLogic data is exposed to Tableau though ODBC. Data has been converted to XML and Tableau taps into the data. 10) Unstructured data can be blended with more traditional structured data on the Tableau side to provide a more complete picture of the data.
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Analytics Lessons from Spy Work: Machine Learning Applied to Unstructured Data

Analytics Lessons from Spy Work: Machine Learning Applied to Unstructured Data | Big Data - Applications and Use Cases | Scoop.it

Intelligence agencies always seek to be more proactive, said Gary Bloom, CEO of MarkLogic. “They look to be able to predict events in order to be able to either prevent them or manage them to best effect.” In business, competitive advantage often lies in the ability to spot trends that can be capitalized on, he said.

 

The reliability and security of data analytics systems is another area where intelligence services and private sector needs align. “In the intelligence community, if you get the answer wrong, lives might be at stake,” said Bloom of MarkLogic. These agencies can’t afford to lose data or experience transactional inconsistency that would lead to inaccurate data being used, he said. While businesses don’t typically deal with life-and-death situations, system and data reliability are essential as integrating data sources becomes a mission critical part of a company’s core applications and systems, he said.

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MarkLogic Summit in NYC Looks at Big Data Beyond the Hype

MarkLogic Summit in NYC Looks at Big Data Beyond the Hype | Big Data - Applications and Use Cases | Scoop.it

Bloom showcased examples of customers using MarkLogic to solve data problems such as the Centers for Medicare & Medicaid Services (CMS) dealing with the need related to the Affordable Care Act to load and subsequently access data in a range of forms for 30-50 million citizens from 50 states, the County of Fairfax in Virginia delivering on the promise of open government, the FAA working on airline safety issues with real-time monitoring and dashboards, as well as the BBC website which needed to handle the deluge of data coming in from the London Olympic games and also allow people to have a customized user experience. There are hundreds of use cases in production and development, said Bloom, who noted that the diverse use cases include competitive intelligence, content delivery, counter terrorism, digital asset management, fraud detection, reference data management, search and discovery and social media analysis.

 

Unlike other NoSQL vendors, said Bloom, MarkLogic puts a premium on enterprise-grade features, and with MarkLogic 6 released earlier this year, a big focus was accessibility.

 

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How a software firm is helping the BBC and PA with Olympic data

How a software firm is helping the BBC and PA with Olympic data | Big Data - Applications and Use Cases | Scoop.it

The first day of each Olympics generates more data than the entire previous Games, according to MarkLogic, a data software specialist that is providing the BBC and the Press Association with a way of processing data on the games.

 

The firm has built a database to manage the unstructured information and data in a variety of forms, including images, video and text, generated by the publishers.

 

The database will "manipulate in real-time the enormous volumes of data that will be generated during the Olympics"

 

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Big Data analytics key for European bankers

Big Data analytics key for European bankers | Big Data - Applications and Use Cases | Scoop.it

The ability to interrogate so-called ‘big data’ from traditional structured sources and unstructured sources such as video and social media is one of the key customer-facing technology priorities for European bankers in 2013, says a survey by the...


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Making Sense of Big Social Data

Making Sense of Big Social Data | Big Data - Applications and Use Cases | Scoop.it

What is Big Data? How does social media such as Twitter fit into Big Data? How do you search and use it?

 

"One of my favorite Server demos showed social analytics to find new marketing approaches for Gatorade. The demo showed real-time dashboard analysis of commentary regarding Gatorade, including Twitter feeds, mentioning the product and "flu." The result showed a real-time U.S. map where there was a high correlation between these terms. That is, consumers with the flu were finding Gatorade to be helpful, suggesting new marketing themes. Then the demonstrator tweeted a comment about Gatorade and flu, and within moments the map was updated. Given that Twitter is getting about 20 terabytes of data each day, this is a clear example of Big Data analytics in real time."

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