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It allows dataengineers familiar with Python and Pandas to run their Pandas code in a scalable and distributed manner. Many more exciting features and updates include AI-powered Object Descriptions, Universal Search, and Sensitive DataClassification with Snowflake Horizon. schemas["my_schema"].tables.create(my_table)
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These projects should include all functional areas within the data platform including analyticsengineering, machine learning , and data science. Data governance and dataclassification are potential reasons to separate projects in dbt Cloud.
Data is a valuable resource, especially in the world of business. A McKinsey survey found that companies that use customer analytics intensively are 19 times higher to achieve above-average profitability. But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines.
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