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        <title>CNOUG.net Planet</title>
        <description><![CDATA[http://www.cnoug.net]]></description>
        <link>http://www.cnoug.net</link>
        <lastBuildDate>Wed, 22 May 2013 00:31:49 +0100</lastBuildDate>
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        <item>
            <title>The MEAN Stack: MongoDB, ExpressJS, AngularJS and Node.js</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/rdYHGdU1cN0/50990446635</link>
            <description>&lt;a href=&quot;http://blog.mongodb.org/post/49262866911/the-mean-stack-mongodb-expressjs-angularjs-and&quot;&gt;The MEAN Stack: MongoDB, ExpressJS, AngularJS and Node.js&lt;/a&gt;: &lt;p&gt;MongoDB, ExpressJS, AngularJS and Node.js the MEAN stack rr as the first commenter on the post called it: “the hipster stack”:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;A few weeks ago, a friend of mine asked me for help with PostgreSQL. As
someone who’s been blissfully SQL-­free for a year, I was quite curious to
find out why he wasn’t just using MongoDB instead.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;It’s all roses &lt;em&gt;on the way to&lt;/em&gt; MongoDB.&lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;The MEAN Stack: MongoDB, ExpressJS, AngularJS and Node.js&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

&lt;!--quid:3745167ba3779d96d2cd60b86e473bacda571728--&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=rdYHGdU1cN0:4I4PSzLBksY:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=rdYHGdU1cN0:4I4PSzLBksY:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=rdYHGdU1cN0:4I4PSzLBksY:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=rdYHGdU1cN0:4I4PSzLBksY:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/rdYHGdU1cN0&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
        </item>
        <item>
            <title>Apache Hive 0.11: Stinger Phase 1 Delivered</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/aKBNFlizEvo/50989552649</link>
            <description>&lt;a href=&quot;http://hortonworks.com/blog/apache-hive-0-11-stinger-phase-1-delivered/&quot;&gt;Apache Hive 0.11: Stinger Phase 1 Delivered&lt;/a&gt;: &lt;p&gt;Owen O’Malley on Hortonworks’ blog:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;As representatives of this open, community led effort we are very proud to
announce the first release of the new and improved Apache Hive, version
0.11.  This substantial release embodies the work of a wide group of people
from Microsoft, Facebook , Yahoo, SAP and others.  Together we have
addressed 386 JIRA tickets, of which there were 28 new features and 276 bug
fixes. There were FIFTY-FIVE developers involved in this and I would like to
thank every one of them.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;This is indeed the &lt;strong&gt;power of open&lt;/strong&gt;. But don’t forget that too much bragging might diminish it: keep repeating a word and its value will slowly vanish. &lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;Apache Hive 0.11: Stinger Phase 1 Delivered&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

&lt;!--quid:149c547c3a749554f0009c76d15a551d58278a2c--&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=aKBNFlizEvo:Ehrijq4Xsrw:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=aKBNFlizEvo:Ehrijq4Xsrw:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=aKBNFlizEvo:Ehrijq4Xsrw:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=aKBNFlizEvo:Ehrijq4Xsrw:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/aKBNFlizEvo&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
        </item>
        <item>
            <title>6 Key Hardware Considerations for Deploying Hadoop in Your Environment</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/EK4lQrGwJ90/50984803935</link>
            <description>&lt;a href=&quot;http://hortonworks.com/blog/6-key-hardware-considerations-for-deploying-hadoop-in-your-environment/&quot;&gt;6 Key Hardware Considerations for Deploying Hadoop in Your Environment&lt;/a&gt;: &lt;blockquote&gt;
&lt;p&gt;To deploy, configure, manage and scale Hadoop clusters in a way that
optimizes performance and resource utilization there is a lot to consider.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;The 6 aspects presented in the post: OS, MapReduce slots available across nodes, memory, storage, capacity, network. It would be a lot more useful to put these in some order based on the scenarios the Hadoop cluster will have to solve.&lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;6 Key Hardware Considerations for Deploying Hadoop in Your Environment&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

&lt;!--quid:7da9737a22007cc8413d427a1fa36ed34e608174--&gt;&lt;div class=&quot;feedflare&quot;&gt;
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        </item>
        <item>
            <title>10 questions to ask when hosting your database on AWS</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/ZLsqprgnGtc/50983782274</link>
            <description>&lt;a href=&quot;http://blog.mongodirector.com/10-questions-to-ask-and-answer-when-hosting-mongodb-on-aws/&quot;&gt;10 questions to ask when hosting your database on AWS&lt;/a&gt;: &lt;p&gt;Dharshan Rangegowda, founder of Scalegrid, posted a list of 10 questions that should be answered before hosting your MongoDB on AWS. But these are generic enough to extend to any database-on-AWS solution. They cover aspects like HA, backup and restore, monitoring, and basic security. If you haven’t done this before, save them as a quick check list. &lt;/p&gt;
&lt;p&gt;✚ Just because you set up HA and backups, it doesn’t mean they’ll actually work when you need them. Test them over and over again. Make it part of your regular procedures.&lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;10 questions to ask when hosting your database on AWS&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=ZLsqprgnGtc:dl3XM3r22r4:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=ZLsqprgnGtc:dl3XM3r22r4:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=ZLsqprgnGtc:dl3XM3r22r4:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=ZLsqprgnGtc:dl3XM3r22r4:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/ZLsqprgnGtc&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
        </item>
        <item>
            <title>Hadoop, Security,  and DataStax Enterprise</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/CqY2Gl21aB4/50908143881</link>
            <description>&lt;a href=&quot;http://www.datastax.com/2013/04/hadoop-security-and-the-enterprise&quot;&gt;Hadoop, Security,  and DataStax Enterprise&lt;/a&gt;: &lt;blockquote&gt;
&lt;p&gt;But the eWeek article demonstrates that the same concerns [&lt;em&gt;nb&lt;/em&gt;: about security] 
exist where Hadoop implementations are concerned. The article says: 
“It [Hadoop] was not written to support hardened security, compliance, 
encryption, policy enablement and risk management.”&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;The story goes like this: in the early days of NoSQL, when no NoSQL database had any sort of security features, people behind the projects answered: “it’s too early. we’re focusing on more important features. and you can still get around security by placing your database behind firewalls”. Today, when more and more NoSQL databases are adding security features, the story these same people are telling is quite different: “ohhh, security is critical. we don’t really see how you could run a database without these features”.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Security is always critical&lt;/strong&gt;. And exactly the same can be said about maintaining a solid, coherent story of what you are telling your users.&lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;Hadoop, Security,  and DataStax Enterprise&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

&lt;!--quid:a41f778459e3d047b96cc56517ff1b32e6691050--&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=CqY2Gl21aB4:TTXmjX7Bq74:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=CqY2Gl21aB4:TTXmjX7Bq74:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=CqY2Gl21aB4:TTXmjX7Bq74:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=CqY2Gl21aB4:TTXmjX7Bq74:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
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        </item>
        <item>
            <title>The Master-Slave Architecture of HBase</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/a9UOpKj5gnM/50907797089</link>
            <description>&lt;a href=&quot;https://blogs.apache.org/hbase/entry/hbase_who_needs_a_master&quot;&gt;The Master-Slave Architecture of HBase&lt;/a&gt;: &lt;p&gt;Fantastic post by Matteo Bertozzi looking at HBase’s master-slave architecture:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;At first glance, the Apache HBase architecture appears to follow a
master/slave model where the master receives all the requests but the real
work is done by the slaves. This is not actually the case, and in this
article I will describe what tasks are in fact handled by the master and the
slaves.&lt;/p&gt;
&lt;/blockquote&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;The Master-Slave Architecture of HBase&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

&lt;!--quid:b31c6b7d5adfe8fd2f14eabd4fce6560ea5082bf--&gt;&lt;div class=&quot;feedflare&quot;&gt;
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        <item>
            <title>Neo4j Blog: Reloading my Beergraph - using an in-graph-alcohol-percentage-index</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/fF0hXvd7604/50906584534</link>
            <description>&lt;a href=&quot;http://blog.neo4j.org/2013/05/reloading-my-beergraph-using-in-graph.html&quot;&gt;Neo4j Blog: Reloading my Beergraph - using an in-graph-alcohol-percentage-index&lt;/a&gt;: &lt;p&gt;Rik Van Bruggen about data modeling in Neo4j:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;One of the things that spurred the discussion was - probably not
coincidentally - the AlcoholPercentage. Many people were expecting that to
be a &lt;em&gt;property&lt;/em&gt; of the Beerbrand - but instead in my beergraph, I had
“pulled it out”. The main reason at the time was more coincidence than
anything else, but when you think of it - it’s actually a fantastic thing to
“pull things out” and normalise the data model much further than you
probably would in a relational model. By making the alcoholpercentage a node
of its own, it allowed me to do more interesting queries and pathfinding
operations - which led to interesting beer recommendations. Which is what
this is all about, right?&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;I can see where this is going, but I’m not sure I agree it’s the right approach. Basically in this case it works because the domain of the field is both discrete and small. Ideally, though, what you’d actually want is an index that could give you nodes that are “close-to-some value” (e.g.: “give me the beers in the 6.9-7.1 range”)&lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;Neo4j Blog: Reloading my Beergraph - using an in-graph-alcohol-percentage-index&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

&lt;!--quid:922cb90df6a76ef397b329755b14feba60add1f1--&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=fF0hXvd7604:N6QXeB4SdNg:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=fF0hXvd7604:N6QXeB4SdNg:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=fF0hXvd7604:N6QXeB4SdNg:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=fF0hXvd7604:N6QXeB4SdNg:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/fF0hXvd7604&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
        </item>
        <item>
            <title>One Good and one bad</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/2vvsF6WBi6U/50900682356</link>
            <description>&lt;p&gt;For the beginning of the week, some good and bad news:&lt;/p&gt;
&lt;ol&gt;&lt;li&gt;
&lt;p&gt;Tableau Software’s IPO is considered successful.&lt;/p&gt;
&lt;p&gt;&lt;a href=&quot;http://feedproxy.google.com/~r/OmMalik/~3/R8lo2eEwoY8/story01.htm&quot; rel=&quot;external nofollow&quot; target=&quot;_blank&quot;&gt;Derric Harris for GigaOm&lt;/a&gt;:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;The company didn’t really need more capital to operate, Chabot said, but one
of the primary drivers was to raise awareness of the company. It has about
12,000 customers, he said, but there are millions more possible users. As
part of attracting them, the company is going to expand globally and is
working to improve its reach across mobile devices, the cloud and the Mac
operating system.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href=&quot;http://www.roadtofailure.com/?p=11&quot; rel=&quot;external nofollow&quot; target=&quot;_blank&quot;&gt;Bradford Stephens announces that Drawn to Scale closes&lt;/a&gt;. Drawn to Scale was building a SQL-on-HBase solution and according to the post it already had paying customers. &lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;It seemed we had everything going for us — paid customers such as American
Express, a major telecom, Flurry, and 4 others. Our technology worked
brilliantly, we had a big hiring pipeline, and we had great media presence
against our competitors who raised 10-100x more cash.&lt;/p&gt;
&lt;p&gt;Yet five days before we signed term sheets for a big A round or sold the
company, we started getting hit by a series of black swans — and we just
didn’t have what we needed to recover.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;I didn’t talk to Bradford Stephens, but I assume the black swans are all the recent big name announcements related to SQL-on-Hadoop.&lt;/p&gt;
&lt;p&gt;✚ Bradford, I’m sad to learn that the Drawn to Scale adventure has ended. But an end is just a new beginning. Good luck!&lt;/p&gt;
&lt;/li&gt;
&lt;/ol&gt;&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;One Good and one bad&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=2vvsF6WBi6U:py5BtQjYB9U:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=2vvsF6WBi6U:py5BtQjYB9U:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=2vvsF6WBi6U:py5BtQjYB9U:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=2vvsF6WBi6U:py5BtQjYB9U:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/2vvsF6WBi6U&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
        </item>
        <item>
            <title>MySQL 5.6, InnoDB and fast storage: 240k QPS</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/FlOjl6Srj_0/50900582045</link>
            <description>&lt;a href=&quot;http://mysqlha.blogspot.com/2013/05/mysql-56-innodb-and-fast-storage.html&quot;&gt;MySQL 5.6, InnoDB and fast storage: 240k QPS&lt;/a&gt;: &lt;p&gt;Mark Callaghan runs some benchmarks against MySQL 5.6.11:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;Using MySQL 5.6.11 and InnoDB with a few hacks the peak throughput was about
240,000 QPS and 210,000 block reads/second. The test server has 32 cores (16
physical cores, 32 logical cores with HT enabled). This is a great result
that can probably be even better. Contention on fil_system-&gt;mutex was the
bottleneck and I think that can be improved (see feature request #69276). I
wonder if 400,000 block reads/second is possible?&lt;/p&gt;
&lt;/blockquote&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;MySQL 5.6, InnoDB and fast storage: 240k QPS&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

&lt;!--quid:c1d9401fc061d67e67f8b8d3946a03eab6b42dfb--&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=FlOjl6Srj_0:4hbhHSZYuCQ:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=FlOjl6Srj_0:4hbhHSZYuCQ:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=FlOjl6Srj_0:4hbhHSZYuCQ:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=FlOjl6Srj_0:4hbhHSZYuCQ:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/FlOjl6Srj_0&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
        </item>
        <item>
            <title>UKOUG</title>
            <link>http://feedproxy.google.com/~r/OracleScratchpad/~3/hUVIGSsZF9s/</link>
            <description>The call for papers is open for Tech 13 &amp;#8211; the &amp;#8220;server-side&amp;#8221; conference of the UKOUG. The conference was getting so big that we&amp;#8217;ve split Apps from Server Tech and will be running the two conferences separately this year. The Server Tech conference will be in Manchester from 2nd to 4th Dec. The closing date [&amp;#8230;]&lt;img alt=&quot;&quot; border=&quot;0&quot; src=&quot;http://stats.wordpress.com/b.gif?host=jonathanlewis.wordpress.com&amp;#038;blog=491988&amp;#038;post=10974&amp;#038;subd=jonathanlewis&amp;#038;ref=&amp;#038;feed=1&quot; width=&quot;1&quot; height=&quot;1&quot; /&gt;</description>
        </item>
        <item>
            <title>Log Buffer #320, A Carnival of the Vanities for DBAs</title>
            <link>http://feedproxy.google.com/~r/PythianGroupBlog/~3/CWnAX6VKGfw/</link>
            <description>The red carpet has been laid down at this Log Buffer Edition, and you can witness and cheer the cat-walking blog posts from Oracle, SQL Server and MySQL. Every one of them is chic, elegant, sensual in its own right. Enjoy. Oracle: Create colored heat maps in SQL*Plus with Kyle Hailey. Here’s a quick and...</description>
        </item>
        <item>
            <title>How to collect cluster Information using TSQL</title>
            <link>http://feedproxy.google.com/~r/PythianGroupBlog/~3/dbRddQeq1ps/</link>
            <description>Sometime back I was involved in a project which was to collect information for the servers we are supporting – creating inventory of servers. Logging into each server and collecting information is bit tedious when you have hundreds of server in your environment.  I have spent sometime and created a script that does this work...</description>
        </item>
        <item>
            <title>MongoLab offers MongoDB on Google Cloud Platform</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/FO_v_I678oc/50559323919</link>
            <description>&lt;a href=&quot;http://blog.mongolab.com/2013/05/mongolab-now-supports-google-cloud-platform/&quot;&gt;MongoLab offers MongoDB on Google Cloud Platform&lt;/a&gt;: &lt;p&gt;This was fast:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;This week at Google I/O we are launching support for MongoLab‘s fifth cloud
provider – Google Cloud Platform. You can now use MongoLab to provision and
manage MongoDB deployments on Google Compute Engine (GCE)!&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;Good move for MongoLab and good win for MongoDB users. I’ve read a lot of good things about Google’s Cloud Platform.&lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/50559323919&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;MongoLab offers MongoDB on Google Cloud Platform&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=FO_v_I678oc:e9qf-9DXjs0:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=FO_v_I678oc:e9qf-9DXjs0:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=FO_v_I678oc:e9qf-9DXjs0:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=FO_v_I678oc:e9qf-9DXjs0:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/FO_v_I678oc&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
        </item>
        <item>
            <title>Introducing Google Cloud Datastore</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/u5VW0fa94x8/50558688290</link>
            <description>&lt;a href=&quot;http://googlecloudplatform.blogspot.com/2013/05/ushering-in-next-generation-of.html&quot;&gt;Introducing Google Cloud Datastore&lt;/a&gt;: &lt;p&gt;Urs Hölzle in a post summarizing some of the announcements at Google I/O:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;Google Cloud Datastore is a fully managed and schemaless solution for
storing non-relational data. Based on the popular App Engine High
Replication Datastore, Cloud Datastore is a standalone service that features
automatic scalability and high availability while still providing powerful
capabilities such as ACID transactions, SQL-like queries, indexes and more.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;I’m heading over to the &lt;a href=&quot;https://developers.google.com/datastore/&quot; rel=&quot;external nofollow&quot; target=&quot;_blank&quot;&gt;project’s site&lt;/a&gt; to read more.&lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/50558688290&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;Introducing Google Cloud Datastore&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=u5VW0fa94x8:3Iz_8j6kof0:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=u5VW0fa94x8:3Iz_8j6kof0:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=u5VW0fa94x8:3Iz_8j6kof0:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=u5VW0fa94x8:3Iz_8j6kof0:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/u5VW0fa94x8&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
        </item>
        <item>
            <title>Performance Monitoring</title>
            <link>http://feedproxy.google.com/~r/OracleScratchpad/~3/KLkFKAODmcU/</link>
            <description>Updated &amp;#8211; just a quick reminder for next week; I&amp;#8217;ll be doing a short webinar next Wednesday comparing the performance monitoring tools Oracle and SQL server provide. I think I may have broken my record with 6 countries in 6 weeks &amp;#8211; so I haven&amp;#8217;t been very thorough at updating my blog recently. Just time, [&amp;#8230;]&lt;img alt=&quot;&quot; border=&quot;0&quot; src=&quot;http://stats.wordpress.com/b.gif?host=jonathanlewis.wordpress.com&amp;#038;blog=491988&amp;#038;post=10896&amp;#038;subd=jonathanlewis&amp;#038;ref=&amp;#038;feed=1&quot; width=&quot;1&quot; height=&quot;1&quot; /&gt;</description>
        </item>
        <item>
            <title>Webinars</title>
            <link>http://feedproxy.google.com/~r/OracleScratchpad/~3/IpRgQHqbzc0/</link>
            <description>Reminder: The webinars on &amp;#8220;Smarter Statistics in 11g&amp;#8221; are on tomorrow (Friday) at 2:00 pm and 6:00 pm. There&amp;#8217;s a waiting list for the 6:00 pm event, so if you&amp;#8217;ve signed up but can&amp;#8217;t make it please delete your registration. (The event will be repeated on 10th June).  If you want to vote a better [&amp;#8230;]&lt;img alt=&quot;&quot; border=&quot;0&quot; src=&quot;http://stats.wordpress.com/b.gif?host=jonathanlewis.wordpress.com&amp;#038;blog=491988&amp;#038;post=10913&amp;#038;subd=jonathanlewis&amp;#038;ref=&amp;#038;feed=1&quot; width=&quot;1&quot; height=&quot;1&quot; /&gt;</description>
        </item>
        <item>
            <title>Javascript的那些事儿</title>
            <link>http://feedproxy.google.com/~r/os2ora/~3/U16PuYlVp5Q/</link>
            <description>Kaya 发表于os2ora.com 目前最流行的语言是哪一种？或许是Javascript。做为一种前端语言，Javascript这几年得到了很长足的发展，AJAX或许是它发展的一个里程碑。Firefox与Chrome等现代浏览器的流行，更使得Javascript的开发效率大大提升。另一方面，Web应用的蓬勃发展，也使得Javascript编程的市场极大。 前端技术的发展，把美工设计与逻辑实现相分离，之前把Javascript嵌入到HTML代码中的日子一去不复返了，一整个项目，都是由Javascript构成，这在之前的时代是多么不可想像的事情。不过，在众多Javascript类库的支持下，这一梦想其实早就成为现实了。程序员们也终于可以利用Javascript当一个纯粹的程序员，不掺一点美工的。 我们或许可以从Javascript如何为数据库监控服务做为切入点聊聊这个语言。 10g以后，EM中的等待事件图应该是最受欢迎的也被使用最多的一个功能，下面是一个例子： 如何自己利用Javascript显示上面的图形呢？ 当然，我们需要有一个Javascript的图形库，把划图的工作交给它，做为DBA的我们要知道的是如何获取数据源，如何转换数据以交给图形库显示。 图形库，我推荐用ExtJS中的相应组件。ExtJS是一个非常值得使用的Javascript类库，拥有极其丰富的例子和文档，基本上UI设计中的所有元素都可以从这些例子中找到踪迹，进而利用这些例子，实现自己业务逻辑的展现。例如，和上图EM中的等待事件图类似的例子： 相应的源代码看起来非常简洁呢： store1存储的就是用来显示的数据，data是一个数组，里面有12行记录，每行对应一个月份，name即为月份的名字，其它的data1到data9代表该月份不同种类（如等待事件）的值。 那么回到等待事件图，如何动态给图形提供数据呢？显然，每隔一个时间间隔，如5秒，我们会从数据库获取一行新的记录，把它存放进store1中，同时，删除store1中的最旧的一行记录，以此就可以实现图形的动态前移了。 Javascript做为一门动态语言，对数据操纵的灵活性在这里得到了极大的展示，如上面逻辑对应的基本代码为： 在这里，对比一下Java和Javascript这两种语言或许是很有趣的事情。想想如何使用Java去实现上面的逻辑？首先，Java中类的属性是不能动态定义的，于是你需要定义一个记录类，里面是诸如time,total,on_cpu这些属性。其次，Java中属性的名字是不能包含空格的，于是你需要为&amp;#8221;ON CPU&amp;#8221;定义一个类似on_cpu的变量名。还有，你不能方便地遍历一个类里面的所有属性，于是只能把上面的那个循环写成9行类似下面的语句： item.time=xxx; item.total=xxx; 看起来Java的代码比Javascripts臃肿多了。 写到这，再顺便一提，Javascript中类的属性可以动态定义，体现在item['time']这种写法其实等价于Java程序员非常熟悉的写法item.time。习惯了Java的语法，看到这种形式一定会感觉特别新鲜。这也许是Java和Javascript的一个最显著的区别。 继续说说如何从Oracle数据库中得到这些等待事件类别对应的数值（active session number）。相应的查询语句如下： 当然，这里统计的粒度其实是等待事件，而不是等待事件类别，Javascript代码中还需要对其做进一步做汇总，才能给上面的图形提供数据，不过，这带来一个好处，有了这些等待事件的信息，我们可以在合适的时候加以展示，例如，当鼠标移到某一时刻时，显示这一时刻看对应的所有等待事件的比例图。当鼠标再次移动某个等待事件上时，只显示出这个等待事件的趋势图。 下面就是最终的一个效果图： Javascript或许是被低估的一门语言。在WEB流行的时代，学学javascript是一个很酷的事情。</description>
        </item>
        <item>
            <title>Hadoop for graphs - GraphLab picks up $6.75m from Madrona and NEA</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/6pI8OKwWGwA/50491803878</link>
            <description>&lt;a href=&quot;http://thenextweb.com/insider/2013/05/14/graphlab-funding/&quot;&gt;Hadoop for graphs - GraphLab picks up $6.75m from Madrona and NEA&lt;/a&gt;: &lt;p&gt;Robin Wauters for TNW:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;Seattle startup GraphLab claims it is building the “fastest machine-learning
analytics engine for graph datasets”, based on the popular open-source
distributed graph computation framework with the same name, and it has just
raised capital to come through on its promise.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;Good luck to GraphLab’s team.&lt;/p&gt;
&lt;p&gt;✚ Here’s a short list of &lt;a href=&quot;http://nosql.mypopescu.com/post/11275410812/what-are-some-good-mapreduce-implementations-for&quot; target=&quot;_blank&quot;&gt;MapReduce implementations for graphs&lt;/a&gt;. &lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;Hadoop for graphs - GraphLab picks up $6.75m from Madrona and NEA&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

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