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2. Snowflake schema - Wikipedia

   en.wikipedia.org/wiki/Snowflake_schema

   The snowflake schema is in the same family as the star schema logical model. In fact, the star schema is considered a special case of the snowflake schema. The snowflake schema provides some advantages over the star schema in certain situations, including: Some OLAP multidimensional database modeling tools are optimized for snowflake schemas. [3]

3. Extract, transform, load - Wikipedia

   en.wikipedia.org/wiki/Extract,_transform,_load

   Cloud-based data warehouses like Amazon Redshift, Google BigQuery, Microsoft Azure Synapse Analytics and Snowflake Inc. have been able to provide highly scalable computing power. This lets businesses forgo preload transformations and replicate raw data into their data warehouses, where it can transform them as needed using SQL .

4. Snowflake Inc. - Wikipedia

   en.wikipedia.org/wiki/Snowflake_Inc.

   In October 2014, Snowflake came out of stealth mode; at that time it was used by 80 organizations. [3] [4] Snowflake has run on Amazon Web Services since 2014, [5] [6] on Microsoft Azure since 2018, [7] and on the Google Cloud Platform since 2019. [8] [9] In June 2015, Snowflake launched its first product, its cloud data warehouse. [10]

5. Shard (database architecture) - Wikipedia

   en.wikipedia.org/wiki/Shard_(database_architecture)

   Horizontal partitioning splits one or more tables by row, usually within a single instance of a schema and a database server. It may offer an advantage by reducing index size (and thus search effort) provided that there is some obvious, robust, implicit way to identify in which partition a particular row will be found, without first needing to search the index, e.g., the classic example of the ...

6. Extract, load, transform - Wikipedia

   en.wikipedia.org/wiki/Extract,_load,_transform

   Extract, load, transform (ELT) is an alternative to extract, transform, load (ETL) used with data lake implementations. In contrast to ETL, in ELT models the data is not transformed on entry to the data lake, but stored in its original raw format.

7. Diffusion-limited aggregation - Wikipedia

   en.wikipedia.org/wiki/Diffusion-limited_aggregation

   Diffusion-limited aggregation (DLA) is the process whereby particles undergoing a random walk due to Brownian motion cluster together to form aggregates of such particles. . This theory, proposed by T.A. Witten Jr. and L.M. Sander in 1981, [1] is applicable to aggregation in any system where diffusion is the primary means of transport in the sy

8. Snowflake (SNOW) Q4 2025 Earnings Call Transcript - AOL

   www.aol.com/snowflake-snow-q4-2025-earnings...

   Image source: The Motley Fool. Snowflake (NYSE: SNOW) Q4 2025 Earnings Call Feb 26, 2025, 5:00 p.m. ET. Contents: Prepared Remarks. Questions and Answers. Call ...

9. Shared-nothing architecture - Wikipedia

   en.wikipedia.org/wiki/Shared-nothing_architecture

   A shared-nothing architecture (SN) is a distributed computing architecture in which each update request is satisfied by a single node (processor/memory/storage unit) in a computer cluster.