AWS Big Data
FEBRUARY 1, 2024
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.
Octopai
DECEMBER 11, 2022
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.
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AWS Big Data
APRIL 26, 2024
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
Ontotext
DECEMBER 30, 2022
In 2008, we received a small round of funding and focused on bringing this technology to the market. Metadata Studio – our new product for streamlining the development and operation of solutions involving text analysis. Our focus is on making it easier for our customers and partners to develop knowledge graph-based solutions.
AWS Big Data
APRIL 25, 2023
The AWS Glue crawler ( consumer-glue-crawler ) runs to update the metadata followed by the AWS Glue job ( consumer-glue-job ), which curates the data by applying the Do not call filter. The curated files are placed in s3://consumer-databucket- /marketo-leads-curated/.
O'Reilly on Data
JULY 25, 2023
And if I switch tabs to view a paper from 2008, then a song from 2008 could start up. To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022.
Domino Data Lab
AUGUST 8, 2019
The gist is, leveraging metadata about research datasets, projects, publications, etc., 2008 – Financial crisis : scientists flee Wall St. then building machine learning models to recommend methods and potential collaborators to scientists. Data science teams should watch what’s happening here, especially the emphasis in the EU.
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