Data Ingestion ETL LLM 
Marktechpost
APRIL 1, 2024
Utilizing frameworks like Slurm and Spark enables efficient big data management, while data quality improvements through deduplication, decontamination, and sentence length adjustments refine training datasets. The ETL (Extract, Transform, Load) process is also critical in aggregating and processing data from varied sources.
AWS Machine Learning Blog
JUNE 18, 2024
This manual synchronization process, hindered by disparate data formats, is resource-intensive, limiting the potential for widespread data orchestration. The platform, although functional, deals with CSV and JSON files containing hundreds of thousands of rows from various manufacturers, demanding substantial effort for data ingestion.
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AWS Machine Learning Blog
SEPTEMBER 18, 2024
As an early adopter of large language model (LLM) technology, Zeta released Email Subject Line Generation in 2021. ZOE is a multi-agent LLM application that integrates with multiple data sources to provide a unified view of the customer, simplify analytics queries, and facilitate marketing campaign creation.
TransOrg Analytics
SEPTEMBER 24, 2024
Data Foundation on AWS Amazon S3: Scalable storage foundation for data lakes. AWS Lake Formation: Simplify the process of creating and managing a secure data lake. Amazon Redshift: Fast, scalable data warehouse for analytics. AWS Glue: Fully managed ETL service for easy data preparation and integration.
TransOrg Analytics
SEPTEMBER 24, 2024
Data Foundation on AWS Amazon S3: Scalable storage foundation for data lakes. AWS Lake Formation: Simplify the process of creating and managing a secure data lake. Amazon Redshift: Fast, scalable data warehouse for analytics. AWS Glue: Fully managed ETL service for easy data preparation and integration.
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