Remove 2023 Remove Data Modeling Remove ETL
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The Democratization Of Graph Data For Business Users

Adrian Bridgwater for Forbes

The ability to project subgraphs from familiar formats like spreadsheets or Pandas data frames without ETL gymnastics removes another long-standing barrier, one that frees up developers and opens the door to faster, more inclusive analysis.” Where traditional data models assume structure, graphs assume relationships.

Database 241
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Ask HN: Who wants to be hired? (July 2025)

Hacker News

I'm JD, a Software Engineer with experience touching many parts of the stack (frontend, backend, databases, data & ETL pipelines, you name it). With over 3 years of working with ETL pipelines and REST API integrations and development, I understand how to develop and maintain robust and scalable data systems.

Python 69
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Ask HN: Who is hiring? (July 2025)

Hacker News

reply versa_ycombi 7 hours ago | prev | next [–] VersaFeed.com | SENIOR SOFTWARE ENGINEER (Python/Django) | REMOTE (USA/EU) | Full-time About us : Fancy ETL pipeline which processes products from huge ecommerce companies. Data extraction and massage, delivery to destinations like Google/Meta/TikTok/etc.

Python 100
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Navigate your way to success – Top 10 data science careers to pursue in 2023

Data Science Dojo

Top 10 Professions in Data Science: Below, we provide a list of the top data science careers along with their corresponding salary ranges: 1. Data Scientist Data scientists are responsible for designing and implementing data models, analyzing and interpreting data, and communicating insights to stakeholders.

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Essential data engineering tools for 2023: Empowering for management and analysis

Data Science Dojo

These tools provide data engineers with the necessary capabilities to efficiently extract, transform, and load (ETL) data, build data pipelines, and prepare data for analysis and consumption by other applications. Essential data engineering tools for 2023 Top 10 data engineering tools to watch out for in 2023 1.

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5 Reasons Why SQL is Still the Most Accessible Language for New Data Scientists

ODSC - Open Data Science

But its status as the go-between for programming and data professionals isn’t its only power. Within SQL you can also filter data, aggregate it and create valuations, manipulate data, update it, and even do data modeling. Data integration tools allow for the combining of data from multiple sources.

SQL 98
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Building an efficient MLOps platform with OSS tools on Amazon ECS with AWS Fargate

AWS Machine Learning Blog

In addition to its groundbreaking AI innovations, Zeta Global has harnessed Amazon Elastic Container Service (Amazon ECS) with AWS Fargate to deploy a multitude of smaller models efficiently. Though it’s worth mentioning that Airflow isn’t used at runtime as is usual for extract, transform, and load (ETL) tasks.

AWS 121