2021, Apache Kafka and Data Pipeline

Discover the Most Important Fundamentals of Data Engineering

Pickl AI

NOVEMBER 4, 2024

Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering? Data Engineering is designing, constructing, and managing systems that enable data collection, storage, and analysis. They are crucial in ensuring data is readily available for analysis and reporting.

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ML Pipeline Architecture Design Patterns (With 10 Real-World Examples)

The MLOps Blog

AUGUST 11, 2023

Today different stages exist within ML pipelines built to meet technical, industrial, and business requirements. This section delves into the common stages in most ML pipelines, regardless of industry or business function. 1 Data Ingestion (e.g., Apache Kafka, Amazon Kinesis) 2 Data Preprocessing (e.g.,

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Discover the Most Important Fundamentals of Data Engineering

ML Pipeline Architecture Design Patterns (With 10 Real-World Examples)

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