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Business Intelligence meets Data Engineering with Emerging Technologies

Simon Späti

Today we have more requirements with ever-growing tools and framework, complex cloud architectures, and with data stack that is changing rapidly. I hear claims: “Business Intelligence (BI) takes too long to integrate new data”, or “understanding how the numbers match up is very hard and needs lots of analysis”.

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Data Engineering Weekly #173

Data Engineering Weekly

link] Sponsored: 5/30 Google BigQuery Data Integration Tech Talk Scale data pipelines to and from BigQuery for GenAI, Business Intelligence, and Operations. A closer look at the OBTs Star Schema vs OBT (One Big Table) data modeling is another ongoing debate in data engineering practitioners.

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Building a Data Engineering Project in 20 Minutes

Simon Späti

This post focuses on practical data pipelines with examples from web-scraping real-estates, uploading them to S3 with MinIO, Spark and Delta Lake, adding some Data Science magic with Jupyter Notebooks, ingesting into Data Warehouse Apache Druid, visualising dashboards with Superset and managing everything with Dagster.

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Data Engineering Weekly #167

Data Engineering Weekly

Github shares some insights on how Github engineers use Github Copilot. Discover how a universal semantic layer is transforming modern business intelligence, making data more accessible and reliable for organizations striving for informed business decisions.

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Expanding The Reach of Business Intelligence Through Ubiquitous Embedded Analytics With Sisense

Data Engineering Podcast

Summary Business intelligence has grown beyond its initial manifestation as dashboards and reports. In its current incarnation it has become a ubiquitous need for analytics and opportunities to answer questions with data. Data engineers don’t enjoy writing, maintaining, and modifying ETL pipelines all day, every day.

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Data Engineering Weekly #156

Data Engineering Weekly

I had a chance to meet some of the amazing humans of data engineering. The article narrates various stages, including business intelligence, data platform, event-bus backbone, and machine learning, leading to decentralizing data engineering expertise and code.

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Business Intelligence In The Palm Of Your Hand With Zing Data

Data Engineering Podcast

Summary Business intelligence is the foremost application of data in organizations of all sizes. Zing Data is building a mobile native platform for business intelligence. Data engineers don’t enjoy writing, maintaining, and modifying ETL pipelines all day, every day. Missing data?