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Bigtable development began in 2004. [1] It is now used by a number of Google applications, such as Google Analytics, [2] web indexing, [3] MapReduce, which is often used for generating and modifying data stored in Bigtable, [4] Google Maps, [5] Google Books search, "My Search History", Google Earth, Blogger.com, Google Code hosting, YouTube, [6] and Gmail. [7]
A database management system (DBMS) is a computer program (or more typically, a suite of them) designed to manage a database, a large set of structured data, and run operations on the data requested by numerous users.
BigQuery is a managed, serverless data warehouse product by Google, offering scalable analysis over large quantities of data. It is a Platform as a Service that supports querying using a dialect of SQL. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011. [1]
Some - can only reverse engineer the entire database at once and drops any user modifications to the diagram (can't "refresh" the diagram to match the database) Forward engineering - the ability to update the database schema with changes made to its entities and relationships via the ER diagram visual designer
NoSQL database Yes, Hybrid DRAM and flash for persistence Yes Yes, Distributed for scale Yes Yes C (small bits of assembly language) Aerospike AGPL v3: AllegroGraph: Graph database: Yes No - v5, 2010 Yes Yes No Common Lisp: Franz Inc. Proprietary: Apache Ignite: Key-value To and from an underlying persistent storage (e.g. an RDBMS) Yes Yes Yes ...
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BigQuery – Scalable, managed enterprise data warehouse for analytics. [22] Cloud Dataflow – Managed service based on Apache Beam for stream and batch data processing. [23] Cloud Data Fusion – A managed ETL service based on the Open Source Cask Data Application Platform. [24] Dataproc – Big data platform for running Apache Hadoop and ...
An SQL schema is simply a namespace within a database; things within this namespace are addressed using the member operator dot ". This seems to be a universal among all of the implementations. A true fully (database, schema, and table) qualified query is exemplified as such: SELECT * FROM database . schema . table