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Monthly Archives: January 2014

Data Modeling for APIs. Part 2: REST and JSON

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Part 1: Seting the stage | Part 2: REST and JSON | Part 3: SOAP and XML | Part 4: Linked Data and SPARQL | Part 5: Modeling vs. Meta-Modeling In the second part of this series of posts we start looking into the implications of the choice between a SOAP and a REST approach […]

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Structure Data 2014 in NYC: A Quantum Leap

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It’s official: LDO is going to be in NYC for Structure Data 2014, where Strategy meets Data. Structure is Gigaom’s event for all things data and it’s really exciting to be able to make it there for the first time, joining 900+ big data practitioners, technologists and executives as they examine how big data can […]

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A small step for Impala, a big step for SQL-on-Hadoop. More to come, hopefully.

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Recently Cloudera published the results of a benchmark performed internally, comparing its own SQL-on-Hadoop implementation (Impala) against a carefully selected competition composed of Hive and an undisclosed RDBMS and showing that Impala outperforms both. As Gigaom’s Derrick Harris was quick to point out, beating Hive is not something to write home about as Hive is […]

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Data Modeling for APIs. Part 1: setting the stage

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Part 1: Seting the stage | Part 2: REST and JSON | Part 3: SOAP and XML | Part 4: Linked Data and SPARQL | Part 5: Modeling vs. Meta-Modeling Lately LDO has been engaged in the design of a data model for a project aiming to deliver an API for analytics in the domain […]

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