Apache Kafka ETL Machine Learning 
ODSC - Open Data Science
APRIL 23, 2025
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Women in Big Data
OCTOBER 9, 2024
These procedures are central to effective data management and crucial for deploying machine learning models and making data-driven decisions. After this, the data is analyzed, business logic is applied, and it is processed for further analytical tasks like visualization or machine learning. What is a Data Pipeline?
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AWS Machine Learning Blog
OCTOBER 9, 2024
Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) to detect anomalies in virtually any time-series business or operational metrics—such as revenue performance, purchase transactions, and customer acquisition and retention rates—with no ML experience required.
DagsHub
APRIL 7, 2024
Image generated with Midjourney In today’s fast-paced world of data science, building impactful machine learning models relies on much more than selecting the best algorithm for the job. Data scientists and machine learning engineers need to collaborate to make sure that together with the model, they develop robust data pipelines.
Data Science Blog
JUNE 27, 2023
In practical implementation, the Kappa architecture is commonly deployed using Apache Kafka or Kafka-based tools. Applications can directly read from and write to Kafka or an alternative message queue tool. It offers the advantage of having a single ETL platform to develop and maintain.
AWS Machine Learning Blog
JANUARY 6, 2023
The key requirement for TR’s new machine learning (ML)-based personalization engine was centered around an accurate recommendation system that takes into account recent customer trends. Then the events are ingested into TR’s centralized streaming platform, which is built on top of Amazon Managed Streaming for Kafka (Amazon MSK).
DagsHub
OCTOBER 23, 2024
Managing unstructured data is essential for the success of machine learning (ML) projects. Apache Kafka Apache Kafka is a distributed event streaming platform for real-time data pipelines and stream processing. is similar to the traditional Extract, Transform, Load (ETL) process. Unstructured.io
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