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It also helps in providing visibility to data and thus enables the users to make informed decisions. Data management software helps in the creation of reports and presentations by automating the process of data collection, data extraction, data cleansing, and dataanalysis.
These tools are supercharged assistants, offering advanced visualizations, intelligent alerts, and in-depth log dataanalysis. They complement Snowflake by creating a central hub for managing logs, monitoring performance, and assessing overall data health.
Traditionally, answering this question would involve multiple data exports, complex extract, transform, and load (ETL) processes, and careful data synchronization across systems. The existing Data Catalog becomes the Default catalog (identified by the AWS account number) and is readily available in SageMaker Lakehouse.
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