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Rescooped by vishnu from NoSQL Databases
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The Best of Both Worlds: Relational and NoSQL Databases

The Best of Both Worlds: Relational and NoSQL Databases | search technologies | Scoop.it
Relational databases have been the dominant data management model for decades, but some problems are better fits for non-relational (NoSQL) databases.

Via Adrian Carr
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Adrian Carr's curator insight, June 6, 2013 11:38 AM

Another 'why use NoSQL' article but a good one.

This covers the strengths and weaknesses of Relational technology and positions why NoSQL has a place.

Like many other similar articles it arrives at the point where NoSQL looks great as long as you do not need transactional integrity (ACID Compliance).

Of course there are no NoSQL databases which can do this...or are there...?

Yes, there is ONE Enterprise NoSQL database which is ACID compliance without compromising scalability.

Check it out at MarkLogic.com and click on the Customers tab for > 50 use cases of real companies solving real business problems in the real world...and not a science project in sight.

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Build Your Own Lucene Codec! | OpenSource Connections | Solr ...

OSC is an open source engine – Solr Lucene search implementation & integration enterprise firm. We have expertise in implementing search user experience across all three layers of search. Contact us @ 703.232.1492 or ...
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Rescooped by vishnu from BIG data, Data Mining, Predictive Modeling, Visualization
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Search for Big Data: Cloudera and Lucene get hitched | ZDNet

Search for Big Data: Cloudera and Lucene get hitched | ZDNet | search technologies | Scoop.it
Instead of a data scientist, what if you only needed your GoogleBing-fu to analyze data in Hadoop? That may be a stretch, but it's exactly what Cloudera is working toward.

Via AnalyticsInnovations
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Rescooped by vishnu from IT Books Free Share
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Solr in Action - Fox eBook

Solr in Action - Fox eBook | search technologies | Scoop.it
eBook Free Download: Solr in Action | PDF, EPUB | ISBN: 1617291021 | 2013-08-22 | English | PutLocker

Via Fox eBook
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Lucene Revolution Keynote: Search is Not a Solved Problem ...

Lucene Revolution Keynote: Search is Not a Solved Problem ... | search technologies | Scoop.it
... but give me no information about the themes that are consistent across them? The audience was technical, specifically Lucene and Solr devs, so I spent some time talking about how we use those technologies at bitly.
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The Big Data open source tools

The Big Data open source tools | search technologies | Scoop.it
The Big Data open source tools landscape is growing rapidly. Check it out here.

Via Adrian Carr
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Adrian Carr's curator insight, June 7, 2013 3:49 AM

Another diagram attempting to categorise all the software offerings within the Big data space.

This looks to be derived from the 451 Group diagram or similar at least.

There are few comments :

- These are not all Open Source

- Many of the offerings will span several groupings, what is important is where (functionally) they come from and where they are going

- Open Source does not equate to free...check out the profits of Red Hat in case you are confused.

- There are way too many companies here to survive so choose wisely.

(not sure why I had the urge to write 'Grasshopper' at the end of the last senetence but I controlled it :) )

Bryan Borda's curator insight, June 7, 2013 11:04 AM

Talk about crowded markets!  How will you know which will survive and which will not?  The diagram title is a bit misleading, not all the solutions are open source tools.  However even those that are open source are NOT FREE! 

 

Look at longevity and enterprise customer base.  Look especially at those big data platforms who have customers using their solution in mission critical applications.  When serious make sure a thorough, competitive, apples to apples evaluation/proof of concept is conducted.

Henry Pan's curator insight, June 8, 2013 10:43 AM

Who is going to be the top 3 tools?

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Search for Big Data: Cloudera and Lucene get hitched - ZDNet

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Search for Big Data: Cloudera and Lucene get hitched
ZDNet
Those efforts focused on enterprise search technology, which put them more in the realm of big dollars than Big Data. Success was mixed at best.

Via Tony Shan
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