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Building End-to-End Data Pipelines: From Data Ingestion to Analysis

KDnuggets

Its key goals are to ensure data quality, consistency, and usability and align data with analytical models or reporting needs. How fresh or real-time does the data need to be? What tools and data models best fit our requirements? How will you structure data for efficient querying?

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Remote Data Science Jobs: 5 High-Demand Roles for Career Growth

Data Science Dojo

Skills and Training Familiarity with ethical frameworks like the IEEE’s Ethically Aligned Design, combined with strong analytical and compliance skills, is essential. Strong analytical skills and the ability to work with large datasets are critical, as is familiarity with data modeling and ETL processes.

professionals

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Data Scientist Job Description – What Companies Look For in 2025

Pickl AI

They are expected to be versatile, handling everything from data engineering and exploratory analysis to deploying machine learning models and communicating insights to business stakeholders. Validation techniques ensure models perform well on unseen data. Data Manipulation: Pandas, NumPy, dplyr.

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Understanding Big Data Visualization

Pickl AI

By presenting data visually, organisations can communicate insights more clearly and drive strategic decisions based on real-time analytics. Reveals hidden patterns and trends within large volumes of data. Supports predictive analytics to anticipate market trends and behaviours.

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

Hacker News

I help businesses and public agencies improve their operations through industry-leading management analytics strategies. Preferably hybrid or occassional meets in person. Looking for management or consulting type roles where my skillset can help technical teams operate better and help executive management take better decisions.

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Best Data Engineering Tools Every Engineer Should Know

Pickl AI

It helps data engineers collect, store, and process streams of records in a fault-tolerant way, making it crucial for building reliable data pipelines. Amazon Redshift Amazon Redshift is a cloud-based data warehouse that enables fast query execution for large datasets. Which cloud-based data engineering tools are most popular?

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Self-Service Analytics for Google Cloud, now with Looker and Tableau

Tableau

Chief Product Officer, Tableau. It's more important than ever in this all digital, work from anywhere world for organizations to use data to make informed decisions. However, most organizations struggle to become data driven. With Tableau, any user can visually explore that data in real time. Francois Ajenstat.

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