Tag Archives: Data Lake

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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Lake and Blob – how far from each other?

Two competing cloud storage products by Microsoft are defined the next way: Azure Blob Storage is a general purpose, scalable object store that is designed for a wide variety of storage scenarios. Azure Data Lake Store is a hyper-scale repository that … 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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Data Lake Store vs Blob Storage

Why might company consider using Azure Data Lake Store over Azure Blob Storage? There are several options for data storage in Azure, each with a specific goal. In particular Data Lake Store is design specifically for Azure Data Lake Analytics. While Blob Storage can … Continue reading

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