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Implement data warehousing solution using dbt on Amazon Redshift

AWS Big Data

It also applies general software engineering principles like integrating with git repositories, setting up DRYer code, adding functional test cases, and including external libraries. Snapshots – These implements type-2 slowly changing dimensions (SCDs) over mutable source tables. For more information, refer SQL models.

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End-to-end development lifecycle for data engineers to build a data integration pipeline using AWS Glue

AWS Big Data

The following are common asks from our customers: Is it possible to develop and test AWS Glue data integration jobs on my local laptop? The software development lifecycle on AWS defines the following six phases: Plan, Design, Implement, Test, Deploy, and Maintain. Test In the testing phase, you check the implementation for bugs.

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Amazon Web Services (AWS) Benefits of Cloud-Based Enterprises

Smart Data Collective

AWS Cloud is a suite of hosting products used by such services as Dropbox, Reddit, and others. You can use it instead of a private hosting (or dedicated hosting). EC2 is not a traditional hosting solution. All of the above lets the developer fully test Amazon API web services for their software. Free Trial.

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

AWS Big Data

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. Unlike migrate or snapshot, add_files can import files from a specific partition or partitions and doesn’t create a new Iceberg table.

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Unleash the power of Snapshot Management to take automated snapshots using Amazon OpenSearch Service

AWS Big Data

in Amazon OpenSearch Service , we introduced Snapshot Management , which automates the process of taking snapshots of your domain. Snapshot Management helps you create point-in-time backups of your domain using OpenSearch Dashboards, including both data and configuration settings (for visualizations and dashboards).

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Power enterprise-grade Data Vaults with Amazon Redshift – Part 2

AWS Big Data

Building a starter version of anything can often be straightforward, but building something with enterprise-grade scale, security, resiliency, and performance typically requires knowledge and adherence to battle-tested best practices, and using the right tools and features in the right scenario. system implemented with Amazon Redshift.

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Operational Database Performance Improvements in CDP Private Cloud 7 vs CDH5

Cloudera

During our testing, we noticed that upgrading from JDK8 to JDK 11 within CDP 7 can improve performance by another 10%. In our test runs, CDP 7 was updated to use JDK 11 for YCSB workload runs shown above. In our test runs, CDP 7 was updated to use JDK 11 for YCSB workload runs shown above. Test Environment.

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