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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Cloud-based business intelligence (BI): Cloud-based BI tools enable organizations to access and analyze data from cloud-based sources and on-premises databases. For example, the 2019 Capital One breach exposed over 100 million customer records, highlighting the need for robust security measures.

Analytics 203
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Drowning in Data? A Data Lake May Be Your Lifesaver

ODSC - Open Data Science

A 2019 survey by McKinsey on global data transformation revealed that 30 percent of total time spent by enterprise IT teams was spent on non-value-added tasks related to poor data quality and availability. One way to address this is to implement a data lake: a large and complex database of diverse datasets all stored in their original format.

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Learnings From Building the ML Platform at Stitch Fix

The MLOps Blog

At a high level, we are trying to make machine learning initiatives more human capital efficient by enabling teams to more easily get to production and maintain their model pipelines, ETLs, or workflows. Stefan: Back in 2019. So some of the metadata would go out to the database, so you could use that for querying. Stefan: Yeah.

ML 52
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Ask HN: Who is hiring? (July 2025)

Hacker News

We are also hiring for other engineering and growth roles - https://supabase.com/careers reply manish_gill 9 hours ago | prev | next [–] ClickHouse | Senior Software Engineer - Cloud Infrastructure / Kubernetes | Remote (US / EU preferred) ClickHouse is a popular, Open-Source OLAP Database. Based in NYC (Chinatown).

Python 75
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When his hobbies went on hiatus, this Kaggler made fighting COVID-19 with data his mission | A…

Kaggle

In August 2019, Data Works was acquired and Dave worked to ensure a successful transition. David: My technical background is in ETL, data extraction, data engineering and data analytics. An ETL process was built to take the CSV, find the corresponding text articles and load the data into a SQLite database.

ETL 71