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The State of Data Engineering at Data Day Texas 2024

Jesse Anderson

The premier of my latest talk covering The State of Data Engineering. This starts with data warehousing and goes into data science. I finish off by showing how data engineering can avoid the same fate as data warehousing and data science.

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Towards Sustainable Data Engineering Patterns

Towards Data Science

Engineers, scientists, and analysts have the potential to greatly reduce carbon emissions by introducing sustainable, efficient, and… Continue reading on Towards Data Science ยป

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Data Engineer vs Data Scientist: Which Career to Choose?

Analytics Vidhya

In the world of data, two crucial roles play a significant part in unlocking the power of information: Data Scientists and Data Engineers. But what sets these wizards of data apart? Welcome to the ultimate showdown of Data Scientist vs Data Engineer! appeared first on Analytics Vidhya.

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Mr. Pavanโ€™s Data Engineering Journey Drives Business Success

Analytics Vidhya

He is an experienced data engineer with a passion for problem-solving and a drive for continuous growth. Thus, providing valuable insights into the field of data engineering. Introduction We had an amazing opportunity to learn from Mr. Pavan.

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GPT and LLMs from a Data Engineering Perspective

Jesse Anderson

There has been quite a bit of writing covering GPT and LLMs from data science and business perspectives. I havenโ€™t seen much from the data engineering side. Let me share my perspective, having been in data and AI for a while and using LLMs before they became popular. How can we use LLMs in data engineering?

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Brief History of Data Engineering

Jesse Anderson

They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. With an immutable file system like HDFS, we needed scalable databases to read and write data randomly. Apache Kafka came in 2011 and gave the industry a much better way to move real-time data.

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Snowflakeโ€™s New Python API Empowers Data Engineers to Build Modern Data Pipelines with Ease

Snowflake

In today’s data-driven world, developer productivity is essential for organizations to build effective and reliable products, accelerate time to value, and fuel ongoing innovation. This allows your applications to handle large data sets and complex workflows efficiently.