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Amazon Redshift is a data warehouse product which forms part of the larger cloud-computing platform Amazon Web Services. [1] It is built on top of technology from the massive parallel processing (MPP) data warehouse company ParAccel (later acquired by Actian), [2] to handle large scale data sets and database migrations.
This database acts as a data warehouse for the organization and also stores information regarding the relationships among its assets. [2] The CMDB provides a means of understanding the organization's critical assets and their relationships, such as information systems , upstream sources or dependencies of assets, and the downstream targets of ...
Data lakehouses are a hybrid approach that can ingest a variety of raw data formats like a data lake, yet provide ACID transactions and enforce data quality like a data warehouse. [ 14 ] [ 15 ] A data lakehouse architecture attempts to address several criticisms of data lakes by adding data warehouse capabilities such as transaction support ...
Data Warehouse and Data mart overview, with Data Marts shown in the top right. In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is a core component of business intelligence. [1] Data warehouses are central repositories of data integrated from ...
Product (data migration) AWS announces an Import/Export service, whereby people can send their storage device to AWS and AWS will upload the data to S3. This is a predecessor of the Snowball service that they would launch in October 2015. [32] 2009: Aug 25: Product (networking)
The Amazon Data Lifecycle Manager is an automated mechanism that can back up data from EBS volumes, creating and deleting EBS snapshots on a predefined schedule. [ 8 ] Elastic Volumes makes it possible to adapt volume size to an application's current needs, using Amazon CloudWatch and AWS Lambda to automate volume changes.
Presto (including PrestoDB, and PrestoSQL which was re-branded to Trino) is a distributed query engine for big data using the SQL query language. Its architecture allows users to query data sources such as Hadoop, Cassandra, Kafka, AWS S3, Alluxio, MySQL, MongoDB and Teradata, [1] and allows use of multiple data sources within a query.
When the same data is accessed concurrently, a race condition arises, which would result in undetectable data loss. Continuing the previous example, consider two processes, A and B, running the same program. Suppose SimpleDB services requests for data, as described in step 1, from both A and B. A and B see the same value.