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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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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.

Process 83
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Interesting startup idea: benchmarking cloud platform pricing

The Pragmatic Engineer

The startup was able to start operations thanks to getting access to an EU grant called NGI Search grant. Storing data: data collected is stored to allow for historical comparisons. As always, I have not been paid to write about this company and have no affiliation with it – see more in my ethics statement.

Cloud 273
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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.

Kafka 98
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How Meta built large-scale cryptographic monitoring

Engineering at Meta

The available data improves our decision-making process while prioritizing quantum-vulnerable use cases How cryptographic monitoring works at Meta Effective cryptographic monitoring requires storing persisted logs of cryptographic events, upon which diagnostic and analytic tools can be used to gather further insights.

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Real-Time Marketing Attribution Modeling With Snowplow and Snowflake

Snowflake

Snowplow, a leading behavioral data collection platform, empowers organizations to generate first-party customer data to build granular customer journey maps in the Snowflake Data Cloud—a cloud-built data platform for organizations’ critical data workloads, such as marketing analytics.