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Bridge the Gap Between Reporting and Data Visualization in Power BI

Jet Global

Jet allows you to work with data structures optimized for self-service reporting, reducing the time needed to access accurate and controlled data by up to 80%. Leverage incremental refresh to optimize resource usage. Pre-built OLAP cubes, tabular models, and a data warehouse. Turnkey installation in hours, not months.

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Data Modeling 201 for the cloud: designing databases for data warehouses

erwin

I published my first book in 2003 showcasing how I used Ralph’s technique to create a large data warehouse in the Oracle database. Don’t obstruct the optimizer from seeing it’s a star schema. Many database optimizers recognize the star schema and have code to optimize their execution by orders of magnitude. Operational.

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RDF-Star: Metadata Complexity Simplified

Ontotext

Relational databases benefit from decades of tweaks and optimizations to deliver performance. To handle such scenarios you need a transalytical graph database – a database engine that can deal with both frequent updates (OLTP workload) as well as with graph analytics (OLAP).

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

They should also provide optimal performance with low or no tuning. Also, datasets are accessed for ML, data exporting, and publishing needs. And AWS Data Exchange helps publish your data to third parties for consumption through AWS Marketplace. Data outbound Data is often consumed using structured queries for analytical needs.

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What Is Embedded Analytics?

Jet Global

Strategic Objective Provide an optimal user experience regardless of where and how users prefer to access information. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source. Ideally, your primary data source should belong in this group.