Alation

JANUARY 20, 2022

This starts by determining the critical data elements for the enterprise. These items become in scope for the data quality program. Step 2: Data Definitions. Here each critical data element is described so there are no inconsistencies between users or data stakeholders. Step 4: Data Sources.

Data Quality 94

Data Quality Data Governance Data Profiling Clean Data 94

Pickl AI

JULY 8, 2024

These pipelines automate collecting, transforming, and delivering data, crucial for informed decision-making and operational efficiency across industries. Tools such as Python’s Pandas library, Apache Spark, or specialised data cleaning software streamline these processes, ensuring data integrity before further transformation.

Data Pipeline 52

Data Pipeline Data Quality Database Apache Kafka 52

How to Learn Machine Learning

JUNE 9, 2025

If you’re hoping to deploy with success in the real world, this is definitely worth the read. A model’s performance can degrade if there is a data distribution shift over time (a.k.a. Inconsistent Data Between Training and Production Many assume the data observed in production will be similar to training data.

Machine Learning 52

Machine Learning Machine Learning ML ML 52