Smart Data Collective

AUGUST 17, 2022

You can safely use an Apache Kafka cluster for seamless data movement from the on-premise hardware solution to the data lake using various cloud services like Amazon’s S3 and others. 5 Key Comparisons in Different Apache Kafka Architectures. 5 Key Comparisons in Different Apache Kafka Architectures.

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IBM Journey to AI blog

JANUARY 8, 2024

They often use Apache Kafka as an open technology and the de facto standard for accessing events from a various core systems and applications. IBM provides an Event Streams capability build on Apache Kafka that makes events manageable across an entire enterprise.

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IBM Journey to AI blog

JULY 12, 2024

IBM® Event Automation’s event endpoint management capability makes it easy to describe and document your Kafka topics (event sources) according to the open source AsyncAPI Specification. Why is this important? AsyncAPI already fuels clarity, standardization, interoperability, real-time responsiveness and beyond.

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AWS Machine Learning Blog

OCTOBER 9, 2024

To learn more, see the documentation. To learn more, see the documentation. To learn more, see the documentation. To learn more, see the blog post , watch the introductory video , or see the documentation. There are no additional costs to using Redshift ML for anomaly detection. Choose Delete.

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IBM Journey to AI blog

NOVEMBER 9, 2023

Apache Kafka is a high-performance, highly scalable event streaming platform. To unlock Kafka’s full potential, you need to carefully consider the design of your application. It’s all too easy to write Kafka applications that perform poorly or eventually hit a scalability brick wall. So, what can you do?

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DagsHub

OCTOBER 23, 2024

For instance, if the collected data was a text document in the form of a PDF, the data preprocessing—or preparation stage —can extract tables from this document. The pipeline in this stage can convert the document into CSV files, and you can then analyze it using a tool like Pandas. Unstructured.io

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DagsHub

APRIL 7, 2024

This also means that it comes with a large community and comprehensive documentation. 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. Also, it is a bit more difficult to find resources online other than the official documentation.

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Machine Learning Machine Learning ML ML 59