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Heinonen, 2020 - Google Patents

From classical DW to cloud data warehouse

Heinonen, 2020

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Document ID
16920434533196549234
Author
Heinonen J
Publication year
Publication venue
Obtenido de https://helda. helsinki. fi/bitstream/handle/10138/322467/JyrkiHeinonen_Masters_Thes is_V1. 0. pdf

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Organizations over time have collected more and more data from their operational systems. To be able to understand what this data tells the data warehouse was created. Data warehouse is used for analyzing this ever-expanding data. In the beginning there was a …
Continue reading at helda.helsinki.fi (PDF) (other versions)

Classifications

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    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386Retrieval requests
    • G06F17/30424Query processing
    • G06F17/30477Query execution
    • G06F17/30483Query execution of query operations
    • G06F17/30486Unary operations; data partitioning operations
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    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30587Details of specialised database models
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    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30575Replication, distribution or synchronisation of data between databases or within a distributed database; Distributed database system architectures therefor
    • G06F17/30584Details of data partitioning, e.g. horizontal or vertical partitioning
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06F17/30557Details of integrating or interfacing systems involving at least one database management system
    • G06F17/30563Details for extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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