Remove Data Engineering Remove Engineering Remove System Design
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How to Screen and Interview Fintech Data Engineer

Mobilunity

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry.

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AI Engineer Vs. ML Engineer: Differentiating Between Roles

Mobilunity

Have you ever wondered how often people mention artificial intelligence and machine learning engineering interchangeably? It might look reasonable because both are based on data science and significantly contribute to highly intelligent systems, overlapping with each other at some points.

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Enabling privacy and choice for customers in data system design

Lacework

In many cases we see that customers prefer to have their data stored and managed locally in their home region, both for reasons of regulatory compliance and also business preference. This local parsing involves identifying and either removing or masking any user identifiable information.

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Who is ETL Developer: Role Description, Process Breakdown, Responsibilities, and Skills

Altexsoft

Data obsession is all the rage today, as all businesses struggle to get data. But, unlike oil, data itself costs nothing, unless you can make sense of it. Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data.

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Streaming ETL with Confluent: Routing and Fan-Out of Apache Kafka Messages with ksqlDB

Confluent

In the world of data engineering, data routing decisions are crucial to successful distributed system design. Some organizations choose to route data from within application code. Other teams hand off […].

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Bringing an AI Product to Market

O'Reilly Media - Ideas

For example, many companies use recommendation engines to boost sales. But if your product is highly specialized, customers may come to you knowing what they want, and a recommendation engine just gets in the way. Data Wrangling and Feature Engineering.

Marketing 145
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How Mixbook used generative AI to offer personalized photo book experiences

AWS Machine Learning - AI

Powered by a Llama language model, the assistant initially used carefully engineered prompts created by AI experts. He leads a product-engineering team responsible for transforming Mixbook into a place for heartfelt storytelling. About the authors Vlad Lebedev is a Senior Technology Leader at Mixbook.