Definition ETL Metadata 
IBM Journey to AI blog
JULY 1, 2024
Irina Steenbeek introduces the concept of descriptive lineage as “a method to record metadata-based data lineage manually in a repository.” Extraction, transformation and loading (ETL) tools dominated the data integration scene at the time, used primarily for data warehousing and business intelligence.
Pickl AI
JUNE 7, 2024
Summary: Choosing the right ETL tool is crucial for seamless data integration. At the heart of this process lie ETL Tools—Extract, Transform, Load—a trio that extracts data, tweaks it, and loads it into a destination. Choosing the right ETL tool is crucial for smooth data management. What is ETL?
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IBM Journey to AI blog
JANUARY 18, 2023
While traditional data warehouses made use of an Extract-Transform-Load (ETL) process to ingest data, data lakes instead rely on an Extract-Load-Transform (ELT) process. This adds an additional ETL step, making the data even more stale. Metadata plays a key role here in discovering the data assets. Differences exist also.
ODSC - Open Data Science
SEPTEMBER 27, 2023
Unlike traditional data warehouses or relational databases, data lakes accept data from a variety of sources, without the need for prior data transformation or schema definition. Understanding Data Lakes A data lake is a centralized repository that stores structured, semi-structured, and unstructured data in its raw format.
AWS Machine Learning Blog
APRIL 16, 2024
You can use these connections for both source and target data, and even reuse the same connection across multiple crawlers or extract, transform, and load (ETL) jobs. In this post, we concentrate on creating a Snowflake definition JSON file and establishing a Snowflake data source connection using AWS Glue.
AWS Machine Learning Blog
JUNE 25, 2024
When the automated content processing steps are complete, you can use the output for downstream tasks, such as to invoke different components in a customer service backend application, or to insert the generated tags into metadata of each document for product recommendation.
The MLOps Blog
MARCH 15, 2023
In the case of our CI/CD-MLOPs system, we stored the model versions and metadata in the data storage services offered by AWS i.e ” Hence the very first thing to do is to make sure that the data being used is of high quality and that any errors or anomalies are detected and corrected before proceeding with ETL and data sourcing.
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