Analytical processing
Interactive processing of data through complex queries, transformations, and aggregations to support analysis, reporting, or decision-making.
Cloud Observability in Action
Online analytical processing is a workload pattern involving complex queries over large volumes of historical data, typically with fewer writes than transactional systems.
- How it is used
- Supports interactive insight extraction from large historical datasets, especially observability data, with relatively few transactions.
- How deep it goes
- Explains row- and column-oriented layouts and workload fit, but does not develop deeper storage-engine internals.
- Examples
- Uses ClickHouse, OpenTelemetry logs, Docker Compose, and a time-bounded SQL query as working artifacts.
- What you can do after
- Operate/configure ClickHouse with an OpenTelemetry Collector pipeline and query recent logs for matching events.
Read how Cloud Observability in Action explains analytical processing →
DuckDB in Action
Analytical processing is computation over data to produce aggregates, transformations, and insights rather than to support operational transactions.
- How it is used
- Deploys computation for local analytics, preprocessing, reporting, forecasting, and aggregation across device, edge, cloud, and notebook workflows.
- How deep it goes
- Explains practical SQL workflows through ingestion prerequisites, basic statements, common table expressions, window functions, and OLAP queries.
- Examples
- Uses log files, sensor readings, and PVDAQ quarter-hour photovoltaic measurements to demonstrate reduction, forecasting, and reporting.
- What you can do after
- Apply it via DuckDB to prepare, filter, aggregate, query, and report on larger datasets across local and cloud workflows.
Related concepts
- vertical partitioningused by · Vertical partitioning is a technique that divides tabular data into separate portions containing different subsets of columns while preserving row relationships.
- columnar dataused by · Columnar data is tabular data organized and stored by column rather than by complete row, enabling efficient access to selected fields and data compression.
- energy consumptionuses · Energy consumption is the amount of energy used by a system or process over a period of operation; its rate of use is power consumption.
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