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How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Cloudera Data Engineering (Spark 3) with Airflow enabled. 6 2003 6488540. 1 2008 7009728.

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Interview with a Data Scientist: Erik Bernhardsson

Erik Bernhardsson

So I think for anyone who wants to build cool ML algos, they should also learn backend and data engineering. How do you respond when you hear the phrase ‘big data’? Seriously, there’s this weird anti-trend of people bashing big data. Iteration cycles get 100x larger and incentives just get misaligned.

Data 101
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Interview with a Data Scientist: Erik Bernhardsson

Erik Bernhardsson

So I think for anyone who wants to build cool ML algos, they should also learn backend and data engineering. How do you respond when you hear the phrase ‘big data’? Seriously, there’s this weird anti-trend of people bashing big data. Iteration cycles get 100x larger and incentives just get misaligned.

Data 100
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Top 15 AI Development Companies to Watch for in 2025

Openxcell

The company offers a wide range of AI Development services, such as Generative AI services, Custom LLM development , AI App Development , Data Engineering , GPT Integration , and more. Founded: 2003 Location: Russia Team Size: 80+ 3. Whether you belong to healthcare, retail, eCommerce, education, etc.,

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Why Happy Data Equals Happy Customers: An Interview with UltimoSoft CEO

TIBCO - Connected Intelligence

I founded the firm in 2003, and today we have more than 350 employees worldwide.”. Why do your clients decide to upgrade their customer data platform? Like every enterprise today, our clients know that data is critical to everything they do with their customers. What are they trying to achieve?

Data 29
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The Good and the Bad of Hadoop Big Data Framework

Altexsoft

What happens, when a data scientist, BI developer , or data engineer feeds a huge file to Hadoop? Under the hood, the framework divides a chunk of Big Data into smaller, digestible parts and allocates them across multiple commodity machines to be processed in parallel. How data engineering works under the hood.