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Guide to the Lakehouse: Unite your data teams in the cloud to bridge the information gap

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14 Guide to the Lakehouse Learn more about Matillion ETL for Delta Lake on Databricks Matillion ETL for Delta Lake on Databricks allows data professionals to easily extract business-critical data from operational databases, files, NoSQL, and API sources, and then load it into Delta Lake. Matillion ETL has a graphical interface that empowers users across the business to take ownership of data and build out the lakehouse, creating a centralized storage repository. With this graphical interface, users can quickly transform data and prepare it for advanced analytics. Learn more about Matillion ETL for Delta Lake on Databricks here: https://www.matillion.com/technology/lakehouse/databricks 1. NewVantage Partners, Big Data and AI Executive Survey 2021, https://c6abb8db-514c-4f5b-b5a1-fc710f1e464e.filesusr.com/ugd/ e5361a_d59b4629443945a0b0661d494abb5233.pdf. 2. Anaconda 2020 State of Data Science, https://www.anaconda.com/state-of-data-science-2020 3. Anaconda 2020 State of Data Science, https://www.anaconda.com/state-of-data-science-2020 4. Databricks ABN AMRO case study https://databricks.com/customers/abn-amro 5. Databricks Shell case study https://databricks.com/customers/shell 6. Databricks Regeneron case study https://databricks.com/customers/regeneron 7. Databricks H&M case study https://databricks.com/customers/hm

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