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How to Gain Greater Confidence in your Climate Risk Models

Cloudera

Stress testing was heavily scrutinized in the post 2008 financial crisis. In a BIS advisory report , it was highlighted that the stress testing scenarios used by the banks were insufficient to capture the extreme risks and fluctuations that were realized. You can join by registering here: Measuring Climate Risk.

Risk 79
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Delivering High Performance for Cloudera Data Platform Operational Database (HBase) When Using S3

Cloudera

One core component of CDP Operational Database, Apache HBase has been in the Hadoop ecosystem since 2008 and was optimised to run on HDFS. We tested performance using the YCSB benchmarking tool on CDP Operational Database (COD) in 4 configurations: COD using m5.2xlarge instances HBase, storage as S3 . Test Environment.

Testing 88
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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

As a QuickSight administrator, you can use AWS CloudFormation templates to migrate assets between distinct environments from development, to test, to production. QuickSight delivers fast and responsive query performance by using a robust in-memory engine (SPICE). This ID is unique per Region for each AWS account.

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Cross-account integration between SaaS platforms using Amazon AppFlow

AWS Big Data

AnyCompany’s marketing team hosted an event at the Anaheim Convention Center, CA. However, for quick testing purposes, we demonstrate how to manually run the flow on demand. On many occasions, they need to apply business logic to the data received from the source SaaS platform before pushing it to the target SaaS platform.

Sales 74
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Is Vietnam the next source for CIO inspiration?

CIO Business Intelligence

Vietnam already plays host to Intel’s largest plant for silicon test and assembly, while other giants are looking to join or expand. There are many countries around the world who would love to have [Vietnam’s] ability to do assembly, testing and packaging,” Fernandez said. “[It It has] the potential to become a powerhouse.”

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Preprocess and fine-tune LLMs quickly and cost-effectively using Amazon EMR Serverless and Amazon SageMaker

AWS Big Data

The Common Crawl corpus contains petabytes of data, regularly collected since 2008, and contains raw webpage data, metadata extracts, and text extracts. It includes massive amounts of unstructured data in multiple languages, starting from 2008 and reaching the petabyte level. Delete the SageMaker endpoint that hosts the LLM model.

Metadata 101
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Use your corporate identities for analytics with Amazon EMR and AWS IAM Identity Center

AWS Big Data

Test the solution by accessing data with a corporate identity. Test the solution To test the solution, we log in to EMR Studio as enterprise user analyst1 , create a new Workspace, create an EMR cluster using a template, and use that cluster to perform an analysis. Use Lake Formation to grant permissions to users to access data.