Pickl AI

JULY 8, 2024

Definition and Explanation of Data Pipelines A data pipeline is a series of interconnected steps that ingest raw data from various sources, process it through cleaning, transformation, and integration stages, and ultimately deliver refined data to end users or downstream systems.

Data Pipeline 52

Data Pipeline Data Quality Database Apache Kafka 52

DagsHub

APRIL 7, 2024

Flexibility: Its use cases are wider than just machine learning; for example, we can use it to set up ETL pipelines. Also, while it is not a streaming solution, we can still use it for such a purpose if combined with systems such as Apache Kafka. Miscellaneous Workflows are created as directed acyclic graphs (DAGs).

Machine Learning 59

Machine Learning Machine Learning ML ML 59

DagsHub

OCTOBER 23, 2024

For instance, if you are working with several high-definition videos, storing them would take a lot of storage space, which could be costly. Apache Kafka Apache Kafka is a distributed event streaming platform for real-time data pipelines and stream processing. Unstructured.io

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

phData

SEPTEMBER 27, 2024

Technologies like Apache Kafka, often used in modern CDPs, use log-based approaches to stream customer events between systems in real-time. In traditional ETL (Extract, Transform, Load) processes in CDPs, staging areas were often temporary holding pens for data. But the power of logs doesn’t stop there.

Data Models 52

Data Models Data Modeling Apache Kafka Data Lakes 52