ETL practice

This page summarizes the projects mentioned and recommended in the original post on /r/Database
Data Database data-engineering data-engineer SQL

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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  • data-engineering-wiki

    The best place to learn data engineering. Built and maintained by the data engineering community.

    • My suggestions: 1. Browse https://dataengineering.wiki/ and overall go over r/dataengineering 2. In mid-sized companies, the trend is to outsource Extract and Load to providers like Fivetran or Airbyte (open-source). Then Transform it with dbt in a data warehouse with SQL. 3. In big companies, you won't touch much ETL design. Just need to be proficient in Python / Spark / SQL... 4. Make sure you know what a star schema, fact tables, and dimension tables are.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
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