Remove 2022 Remove Data Analytics Remove Snapshot Remove Testing
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Enable Multi-AZ deployments for your Amazon Redshift data warehouse

AWS Big Data

Originally published on December 9th, 2022. Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Our pre-launch tests found that Amazon Redshift Multi-AZ deployments reduce recovery time to under 60 seconds or less in the unlikely case of an AZ failure.

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Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

In early 2022, AWS announced general availability of Athena ACID transactions, powered by Apache Iceberg. Whenever there is an update to the Iceberg table, a new snapshot of the table is created, and the metadata pointer points to the current table metadata file. The snapshot points to the manifest list.

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Join a streaming data source with CDC data for real-time serverless data analytics using AWS Glue, AWS DMS, and Amazon DynamoDB

AWS Big Data

Under Instance configuration , for High Availability , choose Dev or test workload (Single-AZ). Create a Python file called generate-data-for-kds.py : $ python3 generate-data-for-kds.py client("kinesis")) This script puts a Kinesis data stream record every 2 seconds. Choose Create replication instance. mode("append").save(s3_output_folder)

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Bionic Eye, Disease Control, Time Crystal Research Powered by IO500 Top Storage Systems

CIO Business Intelligence

Dell’s updated PowerStore offering aims to deliver up to a 50% mixed-workload performance boost and up to 66% greater capacity, based on internal tests conducted in March 2022. . All storage solution updates will become globally available in the third quarter of 2022. Intel® Technologies Move Analytics Forward.

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Choosing an open table format for your transactional data lake on AWS

AWS Big Data

It is crucial that you perform testing to ensure that a table format meets your specific use case requirements. Amazon Redshift only supports Delta Symlink tables (see Creating external tables for data managed in Delta Lake for more information). Clustering data for better data colocation using z-ordering.

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