Tag Archives: Hive

Problem unsolvable for Data Lake Analytics

One of the tasks of Database Forensics is to detect events (or categories of events) that began too frequent. From programming perspective, this means that for each date there should be searches categories appearing more than certain number of times … Continue reading

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Hive 2.0 – The Solution For Data Warehousing

Slides from presentation by Hortonworks’ founder Alan Gates describing at high-level new features of Hive 2.0 tailored for the kind of queries typical for Data Warehousing: Apache Hive 2.0: SQL, Speed, Scale from Hadoop Summit Hive with LLAP is available … Continue reading

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SQL or NoSQL: that is the question.

Relational database management system (RDBMS) have been a primary data storage mechanism for decades. NoSQL databases have existed since the 1960s, but have been recently gaining traction and the business faces a challenge of their efficient adoption. There are many tutorials … Continue reading

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Hadoop Data Processing: Battle For Speed

The idea behind Hadoop шs brilliant and revolutionary: invented an algorithm – MapReduce – allowing decomposition on it of all major data processing tasks (grouping, statistical, graph, etc). However it’s use of input files and lack of schema support prevented the performance improvements … Continue reading

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SHARK on SPARK – business capability increment or just another ICT extension?

The media provides generous buzz in regards to every particular emerging technology. No surprise the promising technology Spark contributes a lot to this stream. However it’s not always easy to separate out technical features descriptions and get pure understanding of how the technology can contribute … Continue reading

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