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Financial Intelligence vs. Business Intelligence: What’s the Difference?

Jet Global

This practice, together with powerful OLAP (online analytical processing) 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. It enabled finance professionals to view, filter, and analyze their data along multiple dimensions.

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What is business intelligence? Transforming data into business insights

CIO Business Intelligence

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.

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Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT

AWS Big Data

You don’t need to worry about workloads such as ETL (extract, transform, and load), dashboards, ad-hoc queries, and so on interfering with each other. On the Redshift Serverless Dashboard, in the Namespaces / Workgroups section, choose the namespace you just created. Deselect Create final snapshot.

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Accelerating revenue growth with real-time analytics: Poshmark’s journey

AWS Big Data

Druid hosted on Amazon Elastic Compute Cloud (Amazon EC2) integrates with the Kinesis data stream for streaming ingestion and allows users to run slice-and-dice OLAP queries. Operational dashboards are hosted on Grafana integrated with Druid.

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Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

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. For traditional analytics, they are bringing data discipline to their use of Presto. It lands as raw data in HDFS.

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