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Fundamentals of Data Engineering

Xebia

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

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Turing nabs $32M more for an AI-based platform to source and manage engineers remotely

TechCrunch

” It currently has a database of some 180,000 engineers covering around 100 or so engineering skills, including React, Node, Python, Agular, Swift, Android, Java, Rails, Golang, PHP, Vue, DevOps, machine learning, data engineering and more. Remote work = immediate opportunity.

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eSentire delivers private and secure generative AI interactions to customers with Amazon SageMaker

AWS Machine Learning - AI

eSentire is an industry-leading provider of Managed Detection & Response (MDR) services protecting users, data, and applications of over 2,000 organizations globally across more than 35 industries. This helps customers quickly and seamlessly explore their security data and accelerate internal investigations.

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Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

AWS Machine Learning - AI

The endpoint lifecycle is orchestrated through dedicated AWS Lambda functions that handle creation and deletion. The application implements a processing pipeline through AWS Step Functions, orchestrating a series of Lambda functions that handle distinct aspects of document analysis. The LLM endpoint is provisioned on ml.p4d.24xlarge

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170+ live online training courses opened for March and April

O'Reilly Media - Ideas

Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , March 13. Data Modelling with Qlik Sense , March 19-20. Foundational Data Science with R , March 26-27. What You Need to Know About Data Science , April 1. Network Security Testing with Kali Linux , March 25.

Course 15
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Building a Machine Learning Application With Cloudera Data Science Workbench And Operational Database, Part 1: The Set-Up & Basics

Cloudera

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle. Introduction.

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How Mixbook used generative AI to offer personalized photo book experiences

AWS Machine Learning - AI

S3, in turn, provides efficient, scalable, and secure storage for the media file objects themselves. The inference pipeline is powered by an AWS Lambda -based multi-step architecture, which maximizes cost-efficiency and elasticity by running independent image analysis steps in parallel. DJ Charles is the CTO at Mixbook.