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Data Lakehouse architecture merges flexible data storage with reliable analytics capabilities.

Downsampling and aggregation reduce data volume while preserving essential trends.

Elasticsearch aggregations help analyze data by grouping, calculating, and estimating values.

OLTP handles transactions while OLAP is for data analysis and reporting.

Retention policies help manage how long data is kept in databases.

Change Data Capture allows real-time syncing of database changes to other systems.

Choosing the right labels in time-series data is crucial to avoid inefficiencies.

Data residency is crucial for compliance with laws about where data can be stored.