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Cross-account integration between SaaS platforms using Amazon AppFlow

AWS Big Data

We have used an AWS Glue job for the ETL pipeline to showcase how you can use purpose-built analytics service for complex ETL needs. 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.

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

AWS Big Data

To enable your workforce users for analytics with fine-grained data access controls and audit data access, you might have to create multiple AWS Identity and Access Management (IAM) roles with different data permissions and map the workforce users to one of those roles. For User role ¸ you can create a new role or choose an existing role.

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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

OpenSearch Service is a fully managed, open source search and analytics engine that helps you with ingesting, searching, and analyzing large datasets quickly and efficiently. Amazon SQS receives an Amazon S3 event notification as a JSON file with metadata such as the S3 bucket name, object key, and timestamp.

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Ontotext Expands To Help More Enterprises Turn Their Data into Competitive Advantage

Ontotext

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.

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Data Science, Past & Future

Domino Data Lab

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” Those workflows would feedback into your business analytics. They would’ve said, “You know what?

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

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.