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.

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phData

MAY 3, 2024

If you have the Snowflake Data Cloud (or are considering migrating to Snowflake ), you’re a blog away from taking a step closer to real-time analytics. In this blog, we’ll show you step-by-step how to achieve real-time analytics with Snowflake via the Kafka Connector and Snowpipe.

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IBM Journey to AI blog

AUGUST 29, 2024

The unique advantages of Apache Flink Apache Flink augments event streaming technologies like Apache Kafka to enable businesses to respond to events more effectively in real time. Integration: Integrates seamlessly with other data systems and platforms, including Apache Kafka, Spark, Hadoop and various databases.

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AWS Machine Learning Blog

OCTOBER 9, 2024

To use this feature, you can write rules or analyzers and then turn on anomaly detection in AWS Glue ETL. To learn more, see the blog post , watch the introductory video , or see the documentation. To capture unanticipated, less obvious data patterns, you can enable anomaly detection.

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Pickl AI

JULY 25, 2024

In this blog, we’ll delve into the intricacies of data ingestion, exploring its challenges, best practices, and the tools that can help you harness the full potential of your data. Apache Kafka An open-source platform designed for real-time data streaming. It supports both batch and real-time processing.

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Pickl AI

JULY 30, 2024

This blog delves into the fundamentals of Apache NiFi, its architecture, and how it can leverage for effective data flow management. What is Apache NiFi? Apache NiFi is a robust data integration tool that facilitates the automation of data flows between different systems. How Does Apache NiFi Ensure Data Integrity?

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ETL Data Lakes Big Data Big Data 52

AWS Machine Learning Blog

JANUARY 6, 2023

TR used AWS Glue DataBrew and AWS Batch jobs to perform the extract, transform, and load (ETL) jobs in the ML pipelines, and SageMaker along with Amazon Personalize to tailor the recommendations. Then the events are ingested into TR’s centralized streaming platform, which is built on top of Amazon Managed Streaming for Kafka (Amazon MSK).

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