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10 Newer Entries Showing entries 61 to 70 of 148 10 Older Entries

Displaying posts with tag: hadoop (reset)

Deploying Cloudera Impala on EC2 with Example Live Demo
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A little while ago I blogged about (and open sourced) an Impala-powered soccer visualization demo, designed to demonstrate just how responsive Impala queries can be. Since not everyone has the time or resources to run the project themselves, we’ve decided to host it ourselves on an EC2 instance. You can try the visualization; we’ve also opened up the Impala web interface, where you can see query …

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The Data Day, Two days: February 11/12 2013
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ClearStory sheds light on data analysis service. Illuminating ‘dark data’. More.

For 451 clients: ClearStory bags $9m in series A funding, sheds light on its data analysis service bit.ly/Y6v8sV By Krishna Roy

— Matt Aslett (@maslett) February 12, 2013

For 451 clients: Global IDs makes ‘big data’ MDM play via cloud and Hadoop, touts profitable growth bit.ly/Y6v6kL By Krishna Roy

— Matt Aslett (@maslett) …

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MySQL-State of the Union. Interview with Tomas Ulin.
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“With MySQL 5.6, developers can now commingle the “best of both worlds” with fast key-value look up operations and complex SQL queries to meet user and application specific requirements” –Tomas Ulin. On February 5, 2013, Oracle announced the general availability of MySQL 5.6. I have interviewed Tomas Ulin, Vice President for the MySQL Engineering team [...]

The Data Day, Two days: February 7/8 2013
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Teradata results. Funding for DataXu. The chemistry of data. And more.

For 451 Research clients: Oracle launches major update to MySQL open source database bit.ly/TSONAt

— Matt Aslett (@maslett) February 8, 2013

For 451 clients: Analyzing the chemistry of data bit.ly/TSOV2R By @451wendy Treating sensitive data like dangerous chemicals

— Matt Aslett (@maslett) …

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Data Science vs. Data Analytics
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As this topic came up a few times this week for discussion at various places, I thought of composing a post on “Data Scientist vs. Data Analytics Engineer”; even though[...]

On Big Data, Analytics and Hadoop. Interview with Daniel Abadi.
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“Some people even think that “Hadoop” and “Big Data” are synonymous (though this is an over-characterization). Unfortunately, Hadoop was designed based on a paper by Google in 2004 which was focused on use cases involving unstructured data (e.g. extracting words and phrases from Webpages in order to create Google’s Web index). Since it was not [...]

Distributed Clustering Services
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Apart from my consulting as part of ScaleIn, I also invest to bootstrap companies with really disruptive ideas; and in the process met few database specific companies who are already[...]

Typical “Big” Data Architecture
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Here is the typical “Big” data architecture, that covers most components involved in the data pipeline. More or less, we have the same architecture in production in number of places[...]

MySQL and Hadoop Integration - Unlocking New Insight
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“Big Data” offers the potential for organizations to revolutionize their operations. With the volume of business data doubling every 1.2 years, analysts and business users are discovering very real benefits when integrating and analyzing data from multiple sources, enabling deeper insight into their customers, partners, and business processes.

As the world’s most popular open source database, and the most deployed database in the web and cloud, MySQL is a key component of many big data platforms, with Hadoop vendors estimating 80% of deployments are …

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Two Cons against NoSQL. Part I.
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Two cons against NoSQL data stores read like this: 1. It’s very hard to move data out from one NoSQL to some other system, even other NoSQL. There is a very hard lock in when it comes to NoSQL. If you ever have to move to another database, you have basically to re-implement a lot [...]

10 Newer Entries Showing entries 61 to 70 of 148 10 Older Entries

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