Bits 'n Pieces on Big Data
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Bits 'n Pieces on Big Data
Innovative information and insight into Big Data (if you like the content, please consider donating to my bitcoin address #3Pjof6N9xRAYXXSPZ4EAFLfHGn51ZdPcxi)
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A co-Relational Model of Data for Large Shared Data Banks - ACM Queue

A co-Relational Model of Data for Large Shared Data Banks - ACM Queue | Bits 'n Pieces on Big Data | Scoop.it
contrary to popular belief, sql and nosql are really just two sides of the same coin.
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NoSQL Data Modeling Techniques

NoSQL Data Modeling Techniques | Bits 'n Pieces on Big Data | Scoop.it
NoSQL databases are often compared by various non-functional criteria, such as scalability, performance, and consistency. This aspect of NoSQL is well-studied both in practice and theory because sp...
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On Big Data, Analytics and Hadoop: Interview with Daniel Abadi

On Big Data, Analytics and Hadoop: Interview with Daniel Abadi | Bits 'n Pieces on Big Data | Scoop.it
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An interview with Daniel Abadi on Big Data, Analytics and Hadoop. Prof. Abadi is an Associate Professor of Computer Science at Yale University, and Chief Scientist and Co-founder of Hadapt (http://hadapt.com/).

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In-Stream Big Data Processing

In-Stream Big Data Processing | Bits 'n Pieces on Big Data | Scoop.it

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. In recent years, this idea got a lot of traction and a whole bunch of solutions like Twitter’s Storm, Yahoo’s S4, Cloudera’s Impala, Apache Spark, and Apache Tez appeared and joined the army of Big Data and NoSQL systems. This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time.

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Phoenix: Running SQL Queries on Apache HBase [Updated]

Phoenix: Running SQL Queries on Apache HBase [Updated] | Bits 'n Pieces on Big Data | Scoop.it
Salesforce.com has open sourced Phoenix, a Java layer enabling developers to run SQL queries on Apache HBase. Update: An interview on Phoenix with James Taylor, Lead Developer at Salesforce.com, has been appended.
onur savas's insight:
Haven't added the JOINs yet.
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