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Accelerating AI at scale without sacrificing security

CIO Business Intelligence

Examples include the 2008 breach of Société Générale , one of France’s largest banks, when an employee bypassed internal controls to make unauthorized trades, leading to billions of dollars lost. Similarly, in 2017 Equifax suffered a data breach that exposed the personal data of nearly 150 million people.

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Expanding data analysis and visualization options: Amazon DataZone now integrates with Tableau, Power BI, and more

AWS Big Data

For this use case, create a data source and import the technical metadata of four data assets— customers , order_items , orders , products , reviews , and shipments —from AWS Glue Data Catalog. He’s worked with small and big data for most of his career, and has built applications running on AWS since 2008.

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Collibra Provides a Platform for Data Intelligence

David Menninger's Analyst Perspectives

I assert that through 2027, three-quarters of enterprises will be engaged in data intelligence initiatives to increase trust in their data by leveraging metadata to understand how, when and where data is used in their organization, and by whom. One of the first software providers to embrace the term data intelligence was Collibra.

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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. It is continuously updated.

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Ingest and analyze your data using Amazon OpenSearch Service with Amazon OpenSearch Ingestion

AWS Big Data

Amazon SQS receives an Amazon S3 event notification as a JSON file with metadata such as the S3 bucket name, object key, and timestamp. The OpenSearch Ingestion pipeline receives the message from Amazon SQS, loads the files from Amazon S3, and parses the CSV data from the message into columns.

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

AWS Big Data

int '2' 'InstanceType': 'Ref': 'ClusterInstanceType' 'Market': 'ON_DEMAND' 'Name': 'Core' 'Outputs': 'ClusterId': 'Value': 'Ref': 'EmrCluster' 'Description': 'The ID of the EMR cluster' 'Metadata': 'AWS::CloudFormation::Designer': {} 'Rules': {} Trusted identity propagation is supported from Amazon EMR 6.15

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How Data Lineage Improves Data Compliance

Octopai

Banks didn’t accurately assess their credit and operational risk and hold enough capital reserves, leading to the Great Recession of 2008-2009. The banking system’s inability to deal with the Great Recession of 2008-2009 led to the passage of regulations designed to make banks more responsible in preparing for financial risk.