Towards AI

FEBRUARY 29, 2024

Last Updated on February 29, 2024 by Editorial Team Author(s): Hira Akram Originally published on Towards AI. Within this article, we will explore the significance of these pipelines and utilise robust tools such as Apache Kafka and Spark to manage vast streams of data efficiently.

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ODSC - Open Data Science

FEBRUARY 6, 2024

Apache Kafka For data engineers dealing with real-time data, Apache Kafka is a game-changer. At the Data Engineering Summit on April 24th, co-located with ODSC East 2024 , you’ll be at the forefront of all the major changes coming before it hits. So get your pass today, and keep yourself ahead of the curve.

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Data Engineer Data Engineering Data Engineering Data Engineering 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

It initially sources input time series data from Amazon Managed Streaming for Apache Kafka (Amazon MSK) using this live stream for model training. The application, once deployed, constructs an ML model using the Random Cut Forest (RCF) algorithm. Post-training, the model continues to process incoming data points from the stream.

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DagsHub

APRIL 7, 2024

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. Flexibility: Airflow was designed with batch workflows in mind; it was not meant for permanently running event-based workflows. Miscellaneous Workflows are created as directed acyclic graphs (DAGs).

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Machine Learning Machine Learning ML ML 59

AWS Machine Learning Blog

NOVEMBER 3, 2023

Let’s look at some examples from the current season (2023–2024) The following videos show examples of measured shots that achieved top-speed values. m How it’s implemented In our quest to accurately determine shot speed during live matches, we’ve implemented a cutting-edge solution using Amazon Managed Streaming for Apache Kafka (Amazon MSK).

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IBM Journey to AI blog

AUGUST 22, 2024

In recognizing the benefits of event-driven architectures, many companies have turned to Apache Kafka for their event streaming needs. Apache Kafka enables scalable, fault-tolerant and real-time processing of streams of data—but how do you manage and properly utilize the sheer amount of data your business ingests every second?

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Pickl AI

DECEMBER 9, 2024

billion in 2024 and reach a staggering $924.39 What is Apache Kafka, and Why is it Used? Apache Kafka is a distributed messaging system that handles real-time data streaming for building scalable, fault-tolerant data pipelines. Yes, I used Apache Kafka to process real-time data streams.

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