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Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service is now available

AWS Big Data

Zero-ETL will perform an initial full load of your collection by doing a collection scan on the primary instance of your Amazon DocumentDB cluster, which may take several minutes to complete depending on the size of the data, and you may notice elevated resource consumption on your cluster. For example, inventory.product.

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Automate deployment of an Amazon QuickSight analysis connecting to an Amazon Redshift data warehouse with an AWS CloudFormation template

AWS Big Data

Amazon Redshift is the most widely used data warehouse in the cloud, best suited for analyzing exabytes of data and running complex analytical queries. Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data.

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Perform secure database write-backs with Amazon QuickSight

AWS Big Data

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. AnyCompany wants to build a new dashboard with quote history data for analysis and business insights.

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Exposed: How Secure Are Your Embedded Analytics Really?

Jet Global

The ever-growing threat landscape of hackers, cyberattacks, and data breaches makes data security a top priority, especially when integrating analytics capabilities directly into customer-facing applications. While these platforms secure dashboards and reports, a hidden vulnerability lies within the data connector.

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Governing data in relational databases using Amazon DataZone

AWS Big Data

It also makes it easier for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization to discover, use, and collaborate to derive data-driven insights. Finally, the data consumer needs to access the subscribed data once access has been provisioned.

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Bringing More AI to Snowflake, the Data Cloud

DataRobot Blog

This includes: Supporting Snowflake External OAuth configuration Leveraging Snowpark for exploratory data analysis with DataRobot-hosted Notebooks and model scoring. Exploratory Data Analysis After we connect to Snowflake, we can start our ML experiment. We recently announced DataRobot’s new Hosted Notebooks capability.

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Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT

AWS Big Data

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. You don’t need to worry about workloads such as ETL (extract, transform, and load), dashboards, ad-hoc queries, and so on interfering with each other.