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BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Business intelligence examples Reporting is a central facet of BI and the dashboard is perhaps the archetypical BI tool.
This practice, together with powerful OLAP (onlineanalyticalprocessing) tools, grew into a body of practice that we call “business intelligence.” Such BI methodologies are built on a snapshot of what happened in the past.
This includes the expected response time limits for dashboard queries or analytical queries, elapsed runtime for daily ETL jobs, desired elapsed time for data sharing with consumers, total number of tenants with concurrency of loads and reports, and mission-critical reports for executives or factory operations.
For traditional analytics, they are bringing data discipline to their use of Presto. They ingest data in snapshots from operational systems. Next, they build model data sets out of the snapshots, cleanse and deduplicate the data, and prepare it for analysis as Parquet files. It lands as raw data in HDFS.
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