Remove Algorithm Remove Apache Kafka Remove Clustering
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Streaming Machine Learning Without a Data Lake

ODSC - Open Data Science

Be sure to check out his talk, “ Apache Kafka for Real-Time Machine Learning Without a Data Lake ,” there! The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem.

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Big data engineering simplified: Exploring roles of distributed systems

Data Science Dojo

Different algorithms and techniques are employed to achieve eventual consistency. Clusters : Clusters are groups of interconnected nodes that work together to process and store data. Clusters : Clusters are groups of interconnected nodes that work together to process and store data.

Big Data 195
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What is a Hadoop Cluster?

Pickl AI

Summary: A Hadoop cluster is a collection of interconnected nodes that work together to store and process large datasets using the Hadoop framework. Introduction A Hadoop cluster is a group of interconnected computers, or nodes, that work together to store and process large datasets using the Hadoop framework.

Hadoop 52
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Transitioning off Amazon Lookout for Metrics 

AWS Machine Learning Blog

Using Amazon CloudWatch for anomaly detection Amazon CloudWatch supports creating anomaly detectors on specific Amazon CloudWatch Log Groups by applying statistical and ML algorithms to CloudWatch metrics. Anomaly detection alarms can be created based on a metric’s expected value. How do I delete my Amazon Lookout for Metrics resources?

AWS 94
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Five scalability pitfalls to avoid with your Kafka application

IBM Journey to AI blog

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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Bundesliga Match Facts Shot Speed – Who fires the hardest shots in the Bundesliga?

AWS Machine Learning Blog

To achieve this, our process uses a synchronization algorithm that is trained on a labeled dataset. This algorithm robustly associates each shot with its corresponding tracking data. Shot speed calculation The heart of determining shot speed lies in a precise timestamp given by our synchronization algorithm.

AWS 124
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A Comprehensive Guide to the main components of Big Data

Pickl AI

Processing frameworks like Hadoop enable efficient data analysis across clusters. For example, financial institutions utilise high-frequency trading algorithms that analyse market data in milliseconds to make investment decisions. Key Takeaways Big Data originates from diverse sources, including IoT and social media. What is Big Data?