Remove Accessibility Remove Events Remove Process
article thumbnail

They Handle 500B Events Daily. Here’s Their Data Engineering Architecture.

Monte Carlo

A data engineering architecture is the structural framework that determines how data flows through an organization – from collection and storage to processing and analysis. And who better to learn from than the tech giants who process more data before breakfast than most companies see in a year?

article thumbnail

Stream Processing with Python, Kafka & Faust

Towards Data Science

How to Stream and Apply Real-Time Prediction Models on High-Throughput Time-Series Data Photo by JJ Ying on Unsplash Most of the stream processing libraries are not python friendly while the majority of machine learning and data mining libraries are python based. An event is generated by a producer (e.g. online dashboard).

Kafka 76
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How Snowflake and Merit Helped Provide Over 120,000 Students with Access to Education Funding 

Snowflake

The event-driven architecture converts events to Snowflake’s relational tables, enabling rapid, accurate, and secure data delivery for the most crucial government programs — ultimately benefiting more people, more smoothly.

article thumbnail

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. Yeah…I can do that already!

Process 83
article thumbnail

Making Digital Products Accessible by Doro Hinrichs

Scott Logic

Every year on Global Accessibility Awareness Day , people come together to raise awareness about the barriers many users still face in the digital world. This May, we, Doro Hinrichs and Oded Sharon, attended an accessibility panel discussion and workshop with UserVision on Creating Accessible Digital Experiences.

article thumbnail

How to process simple data stream and consume with Lambda

Team Data Science

I assume uploading the CSV file as a data producer, so once you upload a file, it generates object created event and the Lambda function is invoked asynchronously. Stream Processing: Analyzing real-time data requires a different approach. Consumer: A consumer process the data records.

Process 130
article thumbnail

A Gentle Introduction to Analytical Stream Processing

Towards Data Science

Building a Mental Model for Engineers and Anyone in Between Stream Processing can be handled gently and with care, or wildly, and almost out of control! By processing a smaller set of data, more often , you effectively divide and conquer a data problem that may otherwise be cost and time prohibitive.

Process 83