Hope springs eternal in the database business. While we’re still hearing about data warehouses (fast analysis databases, typically featuring in-memory columnar storage) and tools that improve the ETL step (extract, transform, and load), we’re also hearing about improvements in data lakes (which store data in its native format) and data federation (on-demand data integration of heterogeneous data stores).

Presto keeps coming up as a fast way to perform SQL queries on big data that resides in data lake files. Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes. Presto allows querying data where it lives, including Hive, Cassandra, relational databases, and proprietary data stores. A single Presto query can combine data from multiple sources. Facebook uses Presto for interactive queries against several internal data stores, including their 300PB data warehouse.

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