Remove 2024 Remove Data Governance Remove Data Pipeline
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What’s New with Azure Databricks: Unified Governance, Open Formats, and AI-Native Workloads

databricks

Get a Demo Login Try Databricks Blog / Platform / Article What’s New with Azure Databricks: Unified Governance, Open Formats, and AI-Native Workloads Explore the latest Azure Databricks capabilities designed to help organizations simplify governance, modernize data pipelines, and power AI-native applications on a secure, open platform.

Azure 238
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Data architect

Dataconomy

Distinction between data architect and data engineer While there is some overlap between the roles, a data architect typically focuses on setting high-level data policies. In contrast, data engineers are responsible for implementing these policies through practical database designs and data pipelines.

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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. Email: andrew@deandrade.com.br Email: djmcgrath.c@gmail.com

Python 58
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Ask HN: Who is hiring? (July 2025)

Hacker News

We 4x’d ARR in both 2023 and 2024. Designing AI data pipelines to process billions of data points. Open roles include: • Senior ML/Data Engineers • Senior AI Consultants • Senior AI Project Managers • Industry Directors • Junior ML/Data Engineers and many more!

Python 79
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Mastering healthcare data governance with data lineage

IBM Journey to AI blog

The healthcare industry faces arguably the highest stakes when it comes to data governance. For starters, healthcare organizations constantly encounter vast (and ever-increasing) amounts of highly regulated personal data. healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

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10 Data Engineering Topics and Trends You Need to Know in 2024

ODSC - Open Data Science

Now that we’re in 2024, it’s important to remember that data engineering is a critical discipline for any organization that wants to make the most of its data. These data professionals are responsible for building and maintaining the infrastructure that allows organizations to collect, store, process, and analyze data.

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Data Fabric and Address Verification Interface

IBM Data Science in Practice

Implementing a data fabric architecture is the answer. What is a data fabric? Data fabric is defined by IBM as “an architecture that facilitates the end-to-end integration of various data pipelines and cloud environments through the use of intelligent and automated systems.”