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Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake

AWS Big Data

Iceberg tables maintain metadata to abstract large collections of files, providing data management features including time travel, rollback, data compaction, and full schema evolution, reducing management overhead. Snowflake integrates with AWS Glue Data Catalog to retrieve the snapshot location.

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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. Visualize the problem. Unused assets.

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Hadoop Data Mining Tools Can Enhance The Value Of Digital Assets

Smart Data Collective

Some of the benefits are detailed below: Optimizing metadata for greater reach and branding benefits. One of the most overlooked factors is metadata. Metadata is important for numerous reasons. Search engines crawl metadata of image files, videos and other visual creative when they are indexing websites.

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Manage your data warehouse cost allocations with Amazon Redshift Serverless tagging

AWS Big Data

Tags allows you to assign metadata to your AWS resources. For Filter by resource type , you can filter by Workgroup , Namespace , Snapshot , and Recovery Point. In Cost Explorer, you can visualize daily, monthly, and forecasted spend by combining an array of available filters.

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Amazon DataZone now integrates with AWS Glue Data Quality and external data quality solutions

AWS Big Data

We discuss how to visualize data quality scores in Amazon DataZone, enable AWS Glue Data Quality when creating a new Amazon DataZone data source, and enable data quality for an existing data asset. If the asset has AWS Glue Data Quality enabled, you can now quickly visualize the data quality score directly in the catalog search pane.

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

AWS Big Data

Through Amazon Redshift in-memory result set caching and compilation caching, workloads ranging from dashboarding to visualization to business intelligence (BI) that run repeat queries experience a significant performance boost. Chargeback metadata Amazon Redshift provides different pricing models to cater to different customer needs.

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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

With Kinesis Data Streams, customers can continuously capture terabytes of time series data from thousands of sources for cleaning, enrichment, storage, analysis, and visualization. Visualization & Gain insights – Customers can query, visualize, and create alerts using Amazon Managed Service for Grafana.

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