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

O'Reilly Media - Ideas

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Temporal data and time-series analytics.

Big Data 108
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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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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. By giving customers options over how and where their data is hosted, Lacework provides them with confidence and control over the privacy of their key asset.

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

Altexsoft

Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data. And usually, it is carried out by a specific type of engineer — an ETL developer. Data architect’s role is to project infrastructure that data engineers will develop.

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Health Information Management: Concepts, Processes, and Technologies Used

Altexsoft

It employs the REST API design, making it possible for third-party apps to access data stored in HISs. If you’re not familiar with the technological side of data exchange, read the following articles to connect dots: What is EDI: The Main Document Exchange Technology. Data quality management. Source: FHIM.

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How Mixbook used generative AI to offer personalized photo book experiences

AWS Machine Learning - AI

About the authors Vlad Lebedev is a Senior Technology Leader at Mixbook. He leads a product-engineering team responsible for transforming Mixbook into a place for heartfelt storytelling. She provides guidance to AWS customers on their workloads across a variety of AWS technologies.

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

High Scalability

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Apply here.