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Imagine what you could do if you had access to all your data.......

Imagine what you could do if you had access to all your data....... | Big Data "The Two Second Advantage" | Scoop.it
Marc McNeill's insight:

Our customers are part of the new generation using the power of all their data, not just the data that sits in traditional relational databases. Watch this video and find out why.

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Big Data "The Two Second Advantage"
How We Succeed by Anticipating the Future - Just Enough
Curated by Marc McNeill
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Firms Step Up Big Data Initiatives, Spending | Trends and Outliers

Firms Step Up Big Data Initiatives, Spending | Trends and Outliers | Big Data "The Two Second Advantage" | Scoop.it
Under siege from the data streaming in from different sources, enterprises are stepping up their efforts to gain insight and value from big data projects.
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Can A Team Reinvent A City?

Can A Team Reinvent A City? | Big Data "The Two Second Advantage" | Scoop.it
But that isn't stopping Big Data pioneer Vivek Ranadivé from using the NBA to bet $1 billion on Sacramento.
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Reshaping Enterprise IT towards an Event-Driven Architecture

http://www.TIBCO.com In this 2011 TUCON keynote, TIBCO Chairman and CEO Vivek Ranadivé identifies the five key forces that are reshaping the world, from the ...
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The Future of Retail

http://www.tibco.com/company/tcif.jsp Smart retailers are doing everything they can to keep shoppers loyal. But with competition emerging on all fronts, crea...
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The Future of Banking

http://www.tibco.com/company/tcif.jsp TIBCO has developed a series of videos that explore the future of customer experience management if all of today's data...
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Deliver Personalized Retail Experiences Using Big Data

http://www.tibco.com/company/tcif.jsp TIBCO has developed a series of videos that explore the future of customer experience management if all of today's data...
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The TIBCO Whiteboard

Point-to-point interfaces have become outdated. In order to compete as a modern business, one must be able to move quickly to take advantage of the latest in...
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DBTA: Unleashing the Power of Hadoop for Big Data Analytics

DBTA: Unleashing the Power of Hadoop for Big Data Analytics | Big Data "The Two Second Advantage" | Scoop.it
Marc McNeill's insight:

This is the Summer 2013 publication of Database Trends and Applications’ Thought Leadership Series.

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Recorded Webinar: Achieving Real Success with Hadoop - MarkLogic

Recorded Webinar: Achieving Real Success with Hadoop - MarkLogic | Big Data "The Two Second Advantage" | Scoop.it
Marc McNeill's insight:

This webcast provides practical tips – including risk management strategies – for:

 

Securely and cost-effectively managing, analyzing, and using huge data sets.

 

Rapidly developing real-time transactional and analytic applications.

 

Optimizing cost, performance, availability, and flexibility.

 

Getting the most out of your data!

 

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Next-Generation Operational Databases: 2012-2016

Next-Generation Operational Databases: 2012-2016 | Big Data "The Two Second Advantage" | Scoop.it
451 Research
Marc McNeill's insight:

451 Research explores the “Next Generation Databases” ( NoSQL, NewSQL, MySQL, database as-a-service DBaaS) and provides a snapshot of a market that has the potential to undergo consider­able change in the coming years

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Who are the Big Data Influencers?

Who are the Big Data Influencers? | Big Data "The Two Second Advantage" | Scoop.it

Via Tony Agresta
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Tony Agresta's curator insight, August 2, 2013 9:39 AM

Here's a nice list of bloggers, tweeters and general influencers in the Big Data space.    The post makes the following key points worth noting:


  • You can now reach out to the influencer using Twitter, email, phone or any other appropriate way with the increased conviction that follows from knowing that you are being highly relevant to them. In fact – in most cases they are likely to thank you for bringing the relevant material to their attention and in many cases they will share their “find” with others.
  • The net effect of this solution is that your evangelists spend time on being relevant and building relationships with influencers – rather than spending time looking for opportunities to engage; and just as a sales team that works off a steady stream of hot leads performs better than one that has to find their own leads, your evangelists will help win significantly more hearts, minds and market share.



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

NoSQL, huh, what is it good for?... | Big Data "The Two Second Advantage" | Scoop.it
...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 help. OK I...
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Big Data—bloated or just large-boned? – DC Velocity

Big Data—bloated or just large-boned? – DC Velocity | Big Data "The Two Second Advantage" | Scoop.it
The jury's still out on the value of Big Data, but this much is clear: Big Data is pretty much pointless without Big Judgment. (Big Data—bloated or just large-boned?

Via Kate Tickner
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Kate Tickner's curator insight, July 12, 2013 5:14 AM

I love the irreverence of this article - so many good points including: "But for the moment, we need to face the reality that, in the collective, our ability to apply decent judgment to Little Data leaves a lot to be desired". So true!

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How Thomson Reuters Unites 70,000 Employees | The TIBCO Blog

How Thomson Reuters Unites 70,000 Employees | The TIBCO Blog | Big Data "The Two Second Advantage" | Scoop.it
Thomson Reuters—a content delivery company with a global network of journalists and more than 70,000 employees—covers finance, accounting, legal, and scientific IP.
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Google Glass Turns Its Lens on Sports - Digits - WSJ

Google Glass Turns Its Lens on Sports - Digits - WSJ | Big Data "The Two Second Advantage" | Scoop.it
Sports franchises are starting to incorporate Google Glass into stadiums.
Marc McNeill's insight:

Thanks to CEO Vivek Ranadivé, Google Glass is going pro—in the NBA. Check out this great write-up on The Wall Street Journal about how the Sacramento Kings are using the technology to enhance the arena experience.

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Cyber Security Threats: See Them Before They Happen

http://tinyurl.com/cnscvdg From cyber warfare to fraud, the risks of cyber-attack threaten consumers, corporations, and governments everywhere. TIBCO provide...
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The Future of Elections and Campaigns

http://www.tibco.com/company/tcif.jsp In the opinion of many, the 2008 election was decided by technology. Social media offered an entirely new way to reach ...
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Harnessing Big Data and Social Media to Engage Customers

http://www.tibco.com/company/tcif.jsp Put yourself in the shoes of a consumer and see how TIBCO technologies make it easy for people to connect with the bran...
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The Future of Airlines

http://www.tibco.com/company/tcif.jsp TIBCO has developed a series of videos that explore the future of customer experience management if all of today's data...
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TIBCO - Providing Extreme Value, and Connecting Your World

TIBCO - Providing Extreme Value, and Connecting Your World
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The Age of Big Data - Predicting Crime After Shocks

 

 


Via Tony Agresta
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Tony Agresta's curator insight, August 7, 2013 9:25 AM

The BBC documentary follows people who mine Big Data, including the Los Angeles Police Department (LAPD) who uses data to predict crime.  It's proven that historical patterns can be used to predict future behavior.  With a database of over 13 million crimes spanning 80 years and real time continuous updates, the LAPD has applied mathematical algorithms and pattern recognition to identify crime hotspots.   Targeted police work has resulted in a 26% decrease in burglaries and a 12% decrease in property crimes. 

 

How does this work?  In the same way that earthquake aftershocks can be predicted, data miners analyzed historical crime statistics including location and timing.  They found patterns in the big data crime landscape.  By tracking the history, timing and location of crimes, they revealed that the probability another crime would occur in certain locales was higher.  They discovered patterns in the data.  In this case, the rate of crime and geospatial distribution of events were excellent predictors of future behavior including pinpointing small geograpic areas which they used to direct police resources. 

 

Today, these predictive aftershocks are becoming more accurate through the use of real time data feeds, alerts, geospatial analysis and temporal analysis.  Over 150 cities in the US are starting to apply these techniques allowing police officers to anticipate, focus, apprehend and therefore lower risk.   


Thanks to KD Nuggets for providing the link to the BBC video which is very well done.

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Recorded Webinar: Analytics, NoSQL, and Visualization - MarkLogic & Tableau

Recorded Webinar: Analytics, NoSQL, and Visualization - MarkLogic & Tableau | Big Data "The Two Second Advantage" | Scoop.it
Marc McNeill's insight:

See how you can combine the power of Tableau with the MarkLogic Enterprise NoSQL database to perform analytics against disparate data sets composed of structured, unstructured and graph data.

 

The result is an unprecedented level of flexibility and power from being able to correlate and analyze “Big Ugly Data” in its natural form.

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The Best Database for Hadoop - Optimize Cost, Performance and Data Availability


Via Tony Agresta
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Tony Agresta's curator insight, August 1, 2013 11:52 AM

Not all data is created equal.  Some is active and absolutely essential in solving real time problems.  And some may be needed in the future but, for now, can occupy fewer resources while keeping your costs down.   This presentation discusses how organizations can optimize cost, performance and availability using tiered storage with Hadoop and MarkLogic.  It demonstrates how you can have the best of both worlds - real time access to mission critical data AND the ability to immediately activate your long tail data stored in HDFS as needed. 


The benefits include less data movement, less ETL, the ability to index your data once, selectively mount data for real time usage and cost effective storage options. 


Today, more than ever, organizations need the flexibility to manage their data efficiently.  Why not store MarkLogic data directly in the Hadoop File System, apply Map Reduce to operate on that data through batch processing and then mount any portion of that data in MarkLogic for real time access?  Mixing real time and batch workloads allows you to manage your low density, active data in an enterprise environment with replication and high availability while also maintaining all other data in Hadoop.  This video is worth watching.


Adrian Carr's curator insight, August 8, 2013 6:10 AM

As Hadoop comes to the top of the Gartner Hype Cycle and people and organisations begin to realise the limitations (as well as strengths) of the technology, the timing is perfect for MarkLogic to launch software to fill the gap.

Hadoop is a file store system, not a database.  Which means to use it effectively, especially for Enterprise applications, there is a lot of functionality which is required on top.

This is where MarkLogic comes in.

MarkLogic IS the database with all the 'Enterprise' functionality you would expect (High Availability, DR, ACID Transactions etc).  With the launch of Tiered Storage, MarkLogic can archive data into Hadoop storage using commodity storage whilst keeping track of it and being able to retrieve it.

Yes - MarkLogic is a proprietary software package but history has shown that to be the route to most effcetive long term support and development versus toolkit/build projects with their expensive and eventually impractical support burden and new feature drought.

Take a look at MarkLogic.com and download a free developer version.

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Recorded Webinar: Get Down to Serious Business with Hadoop

Recorded Webinar: Get Down to Serious Business with Hadoop | Big Data "The Two Second Advantage" | Scoop.it
Marc McNeill's insight:

Get an overview of the current state of the Hadoop ecosystem, geographic adoption, use cases, and an introduction to complementary technology from MarkLogic that can help your organization achieve real-time analysis, transactional data updates, integrity, granular security, and full-text search.

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Why use a NoSQL Database, and why not?

I just conducted a review of the first 70 results from Google on the question "Why use a NoSQL database?". In this post I show you the results in the for camp, and the against camp".

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