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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 seeks to optimize performance by identifying opportunities and challenges as soon as they emerge.

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

AWS Big Data

The Design Lab is one half to two day engagement with customer team offering prescriptive guidance to arrive at the optimal solution architecture design before you embark on building the platform. This frequently accessed information cached in a centralized cache will optimize fetch time.

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Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT

AWS Big Data

Amazon Redshift is straightforward to use with self-tuning and self-optimizing capabilities. For Connection name , enter a name (for example, olap-azure-synapse ). Deselect Create final snapshot. You get 1 hour of free concurrency scaling capacity for 24 hours of usage. Fault tolerance is built in.

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Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. We begin with a single-table design as an initial state and build a scalable batch extract, load, and transform (ELT) pipeline to restructure the data into a dimensional model for OLAP workloads.

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Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

With a few taps on a mobile device, riders request a ride; then, Uber’s algorithms work to match them with the nearest available driver and calculate the optimal price. This allowed them to focus on SQL-based query optimization to the nth degree. They ingest data in snapshots from operational systems. What is Presto?

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