Remove Apache Kafka Remove Business Intelligence Remove ETL
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Hybrid Vs. Multi-Cloud: 5 Key Comparisons in Kafka Architectures

Smart Data Collective

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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Transitioning off Amazon Lookout for Metrics 

AWS Machine Learning Blog

Using Amazon QuickSight for anomaly detection Amazon QuickSight is a fast, cloud-powered, business intelligence service that delivers insights to everyone in the organization. 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 documentation.

AWS 93
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Best Data Engineering Tools Every Engineer Should Know

Pickl AI

Python, SQL, and Apache Spark are essential for data engineering workflows. Real-time data processing with Apache Kafka enables faster decision-making. Understanding Data Engineering Data engineering is collecting, storing, and organising data so businesses can use it effectively.