Remove Aggregated Data Remove Data Consolidation Remove Unstructured Data
article thumbnail

Data Warehousing Guide: Fundamentals & Key Concepts

Monte Carlo

Finally, where and how the data pipeline broke isn’t always obvious. Monte Carlo solves these problems with our our data observability platform that uses machine learning to help detect, resolve and prevent bad data. Data can be loaded in batches or can be streamed in near real-time.

article thumbnail

Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

A pipeline may include filtering, normalizing, and data consolidation to provide desired data. In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. Step 2- Internal Data transformation at LakeHouse.