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Closing The Loop On Event Data Collection With Iteratively

Data Engineering Podcast

Summary Event based data is a rich source of information for analytics, unless none of the event structures are consistent. The team at Iteratively are building a platform to manage the end to end flow of collaboration around what events are needed, how to structure the attributes, and how they are captured.

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

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Apache Kafka Vs Apache Spark: Know the Differences

Knowledge Hut

Kafka offers better fault tolerance because of its event-driven processing. Processing Type Kafka analyses events as they often take place. Stream processing is highly beneficial if the events you wish to track are happening frequently and close together in time. A continuous processing model is an outcome.

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20 Best Datasets for Data Visualization

Knowledge Hut

Datasets for Data Visualization Below mentioned are some of the best datasets for data visualization which are also useful datasets for data visualization projects : BuzzFeed BuzzFeed is a popular media organization that not only provides entertaining content but also offers publicly accessible datasets.

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Sysmon Security Event Processing in Real Time with KSQL and HELK

Confluent

During a recent talk titled Hunters ATT&CKing with the Right Data , which I presented with my brother Jose Luis Rodriguez at ATT&CKcon, we talked about the importance of documenting and modeling security event logs before developing any data analytics while preparing for a threat hunting engagement.

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Kubernetes Prometheus: Definition, Architecture, Pros & Cons

Knowledge Hut

An open-source monitoring tool called Prometheus is used to gather and aggregate metrics as time series data. Simply put, every item in a Kubernetes Prometheus store is a metric event that comes with a timestamp. Events are recorded in real time by Prometheus. Metrics" are the basic unit of data.

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The Role of Mathematics in Machine Learning

Knowledge Hut

Analysis of data includes Condensation, Summarization, Conclusion etc., The Interpretation step includes drawing conclusions from the data collected as the figures don’t speak for themselves. Statistics used in Machine Learning is broadly divided into two categories, based on the type of analyses they perform on the data.