Remove Cloud Remove Data Lake Remove Data Warehouse Remove ETL Method
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Top 8 Data Engineering Books [Beginners to Advanced]

Knowledge Hut

Key Benefits and Takeaways: Understand data intake strategies and data transformation procedures by learning data engineering principles with Python. Investigate alternative data storage solutions, such as databases and data lakes. Author Name: Vincent Rainardi Year of Release: 2007 Goodreads Rating: 3.89/5

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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

For e.g., Finaccel, a leading tech company in Indonesia, leverages AWS Glue to easily load, process, and transform their enterprise data for further processing. Another leading European company, Claranet, has adopted Glue to migrate their data load from their existing on-premise solution to the cloud. How Does AWS Glue Work?

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Top ETL Use Cases for BI and Analytics:Real-World Examples

ProjectPro

Top ETL Business Use Cases for Streamlining Data Management Data Quality - ETL tools can be used for data cleansing, validation, enriching, and standardization before loading the data into a destination like a data lake or data warehouse.

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