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Evaluating sample Amazon Redshift data sharing architecture using Redshift Test Drive and advanced SQL analysis

AWS Big Data

Redshift Test Drive is a tool hosted on the GitHub repository that let customers evaluate which data warehouse configurations options are best suited for their workload. Generating and accessing Test Drive metrics The results of Amazon Redshift Test Drive can be accessed using an external schema for analysis of a replay.

Testing 107
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Data Observability and Monitoring with DataOps

DataKitchen

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Below we will explain how to virtually eliminate data errors using DataOps automation and the simple building blocks of data and analytics testing and monitoring. . Tie tests to alerts.

Testing 214
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Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

AWS Big Data

However, altering schema and table partitions in traditional data lakes can be a disruptive and time-consuming task, requiring renaming or recreating entire tables and reprocessing large datasets. Iceberg creates snapshots for the table contents. Each snapshot is a complete set of data files in the table at a point in time.

Snapshot 123
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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

In this method, the metadata are recreated in an isolated environment and colocated with the existing data files. An in-place migration can be performed in either of two ways: Using add_files : This procedure adds existing data files to an existing Iceberg table with a new snapshot that includes the files. This can save time.

Data Lake 115
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Implement disaster recovery with Amazon Redshift

AWS Big Data

With built-in features such as automated snapshots and cross-Region replication, you can enhance your disaster resilience with Amazon Redshift. Test out the disaster recovery plan by simulating a failover event in a non-production environment. Snapshots are point-in-time backups of the Redshift data warehouse.

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How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

Time Travel: Reproduce a query as of a given time or snapshot ID, which can be used for historical audits and rollback of erroneous operations, as an example. But if the partition scheme needs changing, you’ll typically have to recreate the table from scratch. Usually this is simple to perform if it is a non-partitioned column.

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Power your cybersecurity strategy with an integrated data security framework

Laminar Security

Take MGM Resorts and Caesars Entertainment as examples. An industry-accepted framework can serve as a litmus test to ensure that your chosen platform covers the most critical facets of data security and keeps bad actors at bay. Facilitating proactive recovery testing. Data breaches increased by 156% between Q1 and Q2 alone.