Tag: data sources
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The Register: Inexorable march of progress at SAP threatens to leave users behind
Source URL: https://www.theregister.com/2024/10/16/dsag_sap_innovation_survey/ Source: The Register Title: Inexorable march of progress at SAP threatens to leave users behind Feedly Summary: AI hardly a hot topic with some customers calling for more innovation on-prem Nearly a quarter of SAP users in its European heartlands say they cannot keep up with technological, social or economic advances.… AI…
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AWS News Blog: Amazon Aurora PostgreSQL and Amazon DynamoDB zero-ETL integrations with Amazon Redshift now generally available
Source URL: https://aws.amazon.com/blogs/aws/amazon-aurora-postgresql-and-amazon-dynamodb-zero-etl-integrations-with-amazon-redshift-now-generally-available/ Source: AWS News Blog Title: Amazon Aurora PostgreSQL and Amazon DynamoDB zero-ETL integrations with Amazon Redshift now generally available Feedly Summary: Unlock insights instantly with Amazon Redshift’s new zero-ETL integrations for Aurora PostgreSQL and DynamoDB, eliminating complex ETL pipelines. AI Summary and Description: Yes Summary: The text announces the general availability of…
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Hacker News: Large language models reduce public knowledge sharing on online Q&A platforms
Source URL: https://academic.oup.com/pnasnexus/article/3/9/pgae400/7754871 Source: Hacker News Title: Large language models reduce public knowledge sharing on online Q&A platforms Feedly Summary: Comments AI Summary and Description: Yes **Summary**: The text discusses a significant decline in user activity on Stack Overflow following the release of ChatGPT, underscoring the implications for the generation of digital public goods and…
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Cloud Blog: Better together: BigQuery and Spanner expand operational insights with external datasets
Source URL: https://cloud.google.com/blog/products/data-analytics/introducing-bigquery-external-datasets-for-spanner/ Source: Cloud Blog Title: Better together: BigQuery and Spanner expand operational insights with external datasets Feedly Summary: Data analysts have traditionally struggled to analyze data across different databases. Because of data silos, they need to copy data from transactional databases into analytical data stores using ETL processes. BigQuery made the problem a…