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While flat files are nice, tables are nicer. While insights on large raw datasets are nice, doing such analysis in real time as data becomes available is nicer. With its ability to store wide and sparse datasets coming from heterogeneous applications and perform database style operations to keep the data up-to-date, Apache HBase is becoming increasingly popular as a store that can enable the kind of flexibility people expect out of traditional data warehousing technology.
This talk will go into details of integration between Apache Drill and Apache HBase, specifically how Drill can serve as a SQL query layer on HBase and how the flexibility of Drill to directly query self describing and multi-structured data makes it as a very natural choice for analysis on HBase data.
KEYWORDS: Apache Drill, HBase, NoSQL, Data Science, SQL
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North America and Europe. Please refer to theMapR Talks Directory for specific countries.
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