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Jet vs. Data Entities in Dynamics 365 Finance & Operations

Jet Global

Even though Microsoft provides over 2000 out-of-the-box data entities, most customers spend significant amounts of time and money to customize their data entities. You also get a pre-built data warehouse and cubes (tabular or OLAP) that uses these data entities to de-normalize the tables and keep all your governed data in one place.

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How to Build a Performant Data Warehouse in Redshift

Sisense

OLTP vs OLAP. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). An OLAP database is best for situations where you read from the database more often than you write to it. OLAP databases excel at queries that require large table scans (e.g.

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Bridge the Gap Between Reporting and Data Visualization in Power BI

Jet Global

Pre-built OLAP cubes, tabular models, and a data warehouse. Boost refresh times with star schemas, tabular models, and OLAP cubes. Build cohesion and improve team output with a complete data preparation, automation, and modeling tool, and a BI customization platform that is five times faster than manual coding.

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The Missing Link in Your Power BI/ERP Data Chain

Jet Global

Providing pre-built OLAP cubes, a data warehouse, and visualized dashboards. Other benefits include: Providing accurate, governed data through a single source of truth. Rapid time to value through turnkey installation within hours. Low total cost of ownership. A drag-and-drop customization platform.

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What Is Embedded Analytics?

Jet Global

OLAP cubes Used for multi-dimensional analysis Strategic Objective When a vendor-specific connector is not available, generic connectors provide flexibility with data. Quickly link all your data from Amazon Redshift, MongoDB, Hadoop, Snowflake, Apache Solr, Elasticsearch, Impala, and more. Requirement ODBC/JDBC Used for connectivity.