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

KDnuggets

By Josep Ferrer , KDnuggets AI Content Specialist on July 15, 2025 in Data Science Image by Author Delivering the right data at the right time is a primary need for any organization in the data-driven society. But lets be honest: creating a reliable, scalable, and maintainable data pipeline is not an easy task.

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Big Data vs. Data Science: Demystifying the Buzzwords

Pickl AI

Semi-Structured Data: Data that has some organizational properties but doesn’t fit a rigid database structure (like emails, XML files, or JSON data used by websites). Unstructured Data: Data with no predefined format (like text documents, social media posts, images, audio files, videos).

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

Hacker News

Prior to that, I spent a couple years at First Orion - a smaller data company - helping found & build out a data engineering team as one of the first engineers. We were focused on building data pipelines and models to protect our users from malicious phonecalls. Oh, also, I'm great at writing documentation.

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Best Data Engineering Tools Every Engineer Should Know

Pickl AI

Summary: Data engineering tools streamline data collection, storage, and processing. Learning these tools is crucial for building scalable data pipelines. offers Data Science courses covering these tools with a job guarantee for career growth. Below are 20 essential tools every data engineer should know.

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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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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.

Tableau 98
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How to Automate Document Processing with Snowflake’s Document AI

phData

With an endless stream of documents that live on the internet and internally within organizations, the hardest challenge hasn’t been finding the information, it is taking the time to read, analyze, and extract it. What is Document AI from Snowflake? Document AI is a new Snowflake tool that ingests documents (e.g.,

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