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A Look Ahead at the Gartner Data & Analytics Summit

Cloudera

This year, members of the Cloudera team will be hosting speaking sessions during the event where we’ll be sharing insights around generative AI and the tools needed to leverage emerging technologies at enterprise scale. Add a Human To The Loop: An Introduction to RLHF & DPO.

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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

Although these areas can also be critical areas of consideration for any data warehouse data model, in our experience, these areas present their own flavor and special needs to achieve data vault implementations at scale. There are two possible routes to create materialized views for the presentation data mart layer.

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Your Definitive Guide To Building Valuable Narratives Through Data Storytelling

datapine

By gaining centralized access to business data and presenting it in a visual way that follows a logical path and provides invaluable insights on a particular area or subject, you stand to set yourself apart from your competitors and become a leader in your field. Data storytelling has a host of business-boosting benefits.

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Tips for organizing large interactive Zoom sessions

Insight

Make roles explicit right at the start If you are the host, it’s important to begin the meeting with a clear introduction of who will be presenting, and in what order. Building buffer time into your meeting agenda will help you avoid running out of time. Remember to assign notetakers prior to the meeting beginning.

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

AWS Big Data

Finally, you may want to use Amazon Athena and Amazon QuickSight to present the enriched data to end-users. In the following sections, we present the steps to set up the required environment and demonstrate the end-to-end development lifecycle. Then you may want to chain multiple AWS Glue jobs and orchestrate them.

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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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