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Use Amazon Athena with Spark SQL for your open-source transactional table formats

AWS Big Data

These formats enable ACID (atomicity, consistency, isolation, durability) transactions, upserts, and deletes, and advanced features such as time travel and snapshots that were previously only available in data warehouses. It will never remove files that are still required by a non-expired snapshot.

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Implement data warehousing solution using dbt on Amazon Redshift

AWS Big Data

Snapshots – These implements type-2 slowly changing dimensions (SCDs) over mutable source tables. Tests – These are assertions you make about your models and other resources in your dbt project (such as sources, seeds, and snapshots). An Amazon Simple Storage (Amazon S3) bucket to host documentation files.

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InMoment - Showcasing Return on Customer Experience Investment (ROXI)

Corinium

Here are four tips for showcasing return on experience investment (ROXI): Take a Snapshot of Current Business Performance. Before launching a CX program, try to document an accurate view of your business’s current state of play. How is your organisation currently performing in terms of call centre efficiencies?

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CRM’s Have a Big Data Technical Debt Problem: Here’s How to Fix It

Smart Data Collective

Metazoa is the company behind the Salesforce ecosystem’s top software toolset for org management, Metazoa Snapshot. Created in 2006, Snapshot was the first CRM management solution designed specifically for Salesforce and was one of the first Apps to be offered on the Salesforce AppExchange.

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Patterns for updating Amazon OpenSearch Service index settings and mappings

AWS Big Data

Also, the _reindex operation enables reprocessing, transformation , and reindexing a subset of documents and even selectively combining documents from multiple indexes. With the _reindex operation, you can copy all or a subset of documents that you select through a query to another index.

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Exploring real-time streaming for generative AI Applications

AWS Big Data

The result is made available to the application by querying the latest snapshot. The snapshot constantly updates through stream processing; therefore, the up-to-date data is provided in the context of a user prompt to the model. Amazon S3 provides a trigger to invoke an AWS Lambda function when a new document is stored.

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From Hive Tables to Iceberg Tables: Hassle-Free

Cloudera

They also provide a “ snapshot” procedure that creates an Iceberg table with a different name with the same underlying data. You could first create a snapshot table, run sanity checks on the snapshot table, and ensure that everything is in order. Please see the linked documentation to see how to take advantage of this feature.