Remove Data Remove Data 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. Knowledge of Scala or R can also be advantageous.

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Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. Temporal data and time-series analytics. Deep Learning.

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

Altexsoft

Around 14 years ago, Clive Humby , a mathematician and data scientist said: “ Data is a new oil ”. 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. But it can’t be used in its raw format. Who is ETL Developer?

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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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How Mixbook used generative AI to offer personalized photo book experiences

AWS Machine Learning - AI

The following is the data flow diagram of the caption generation process., The following is the data flow diagram of the caption generation process., Data intake A user uploads photos into Mixbook. He leads a product-engineering team responsible for transforming Mixbook into a place for heartfelt storytelling.

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Bringing an AI Product to Market

O'Reilly Media - Ideas

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Fair warning: if the business lacks metrics, it probably also lacks discipline about data infrastructure, collection, governance, and much more.) Agreeing on metrics.

Marketing 145
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Sponsored Post: Fauna, Sisu, Educative, PA File Sight, Etleap, PerfOps, Triplebyte, Stream

High Scalability

Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Who's Hiring? Apply here. Stateful JavaScript Apps. Generous free tier.