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High-Performance Querying on RAW data

Create a database to load RAW data files, run queries, and report results for query applications, increasing data-to-query time efficiency. Utilize relational DBMS, MapReduce engine, virtualization, and harmonization. Integrate external data sources and operational databases for enterprise search engine and reporting server. Eliminate ETL process and enable declarative querying for complex data. Ensure flexibility in file formats and scalability in vertical integration. Enhance efficiency for Higgs analysis with RAW data.

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High-Performance Querying on RAW data

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  1. High-Performance Queryingon RAW data Anastasia Ailamaki EPFL

  2. create a database to run queries RAW DATA FILES LOAD INTO DB REPORT RESULTS QUERY APPLICATIONS Source: “An Overview of Business Intelligence Technology”. S. Chaudhuri, U. Dayal, V. Narasayya. CACM August 2011 data-to-query time too long data “locked” in vendor private data: no move, no copy

  3. run queries to create a database Relational DBMS MapReduce Engine Data Virtualization and Harmonization … Enterprise Search Engine … External Data Sources Operational Databases … Reporting Server Spreadsheet invest only in interesting data

  4. easy for you to say • No ETL • Declarative querying is king • Complex data: tables; arrays; hierarchies • large-scale vertical integration • Flexibility: multiple file formats; no static schemas; … • Efficiency!

  5. Higgs analysis with RAW SELECT event.jet… FROM goodruns.CSV, atlas001.root WHERE csv.RunNumber == root.RunNumber AND root.EF_2mu13 == TRUE AND … join scan csv filter scan root Code Generate the Access Paths Code Generate the Query ROOT CSV Build Position and Data Caches … containing “good” run numbers RAW is 100x faster … containing physics events

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