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github.com | ||
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www.ssp.sh
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| | | | | You'll learn web-scraping with real-estates, uploading them to S3, Spark and Delta Lake, adding Data Science with Jupyter, ingesting into Druid, visualising with Superset and managing everything with Dagster. | |
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lakefs.io
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| | | | | An update on all the latest tools and trends in the data engineering space for 2022. | |
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www.dquach.com
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| | | | | [AI summary] The provided text is an extensive list of data integration and data management tools, platforms, and companies. It includes both open-source and commercial solutions, ranging from Apache Spark to enterprise software like Talend, TIBCO, and Qlik. The list also includes companies like Dell Boomi, Stitch, and Hevo Data, which offer cloud-based integration services. Additionally, there are mentions of tools like Liquibase, Flyway, and Shipyard for database management and container orchestration. The text appears to be a comprehensive catalog of data-related technologies, possibly intended for comparison, research, or decision-making in data engineering and integration projects. | |
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segment.com
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| | | Explore, learn, and enhance your skills in customer data so you can drive faster, better business decisions | ||