Data Engineering Data Mining Data Preparation ETL 
IBM Journey to AI blog
MARCH 14, 2024
Db2 Warehouse fully supports open formats such as Parquet, Avro, ORC and Iceberg table format to share data and extract new insights across teams without duplication or additional extract, transform, load (ETL). This allows you to scale all analytics and AI workloads across the enterprise with trusted data.
Dataconomy
JULY 28, 2023
By meeting these requirements during data preprocessing, organizations can ensure the accuracy and reliability of their data-driven analyses, machine learning models, and data mining efforts. What are the best data preprocessing tools of 2023?
phData
FEBRUARY 7, 2024
Snowpark Use Cases Data Science Streamlining data preparation and pre-processing: Snowpark’s Python, Java, and Scala libraries allow data scientists to use familiar tools for wrangling and cleaning data directly within Snowflake, eliminating the need for separate ETL pipelines and reducing context switching.
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