Smart Data Collective
OCTOBER 25, 2023
In the 1990s, OLAP tools allowed multidimensional data analysis. The Social Media Landscape: Beyond Likes and Shares Social media offers businesses and individuals a window of opportunity into the preferences, behaviors, and interactions of users. Let’s break it down for you. The story goes back to the mid-20th century.
IBM Big Data Hub
SEPTEMBER 27, 2023
Get a fast track to clarity: Single view with near real-time visibility and interactive dashboards QRadar Log Insights uses a modern open-source OLAP data warehouse, ClickHouse, which ingests, automatically indexes, searches and analyzes large datasets at sub-second speed.
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AWS Big Data
MARCH 7, 2023
It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. It enables you to create interactive dashboards, visualizations, and advanced analytics with ML insights.
Jet Global
AUGUST 14, 2019
The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.
Jet Global
MARCH 5, 2019
To successfully interact with the physical world, these devices must be able to observe the world through different types of sensors and perform actions based on those observations. In each of these applications, the differentiator is that machines aren’t simply reacting to data and providing a prescriptive output.
Jet Global
OCTOBER 2, 2019
The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.
AWS Big Data
JUNE 21, 2023
Nonetheless, many of the same customers using DynamoDB would also like to be able to perform aggregations and ad hoc queries against their data to measure important KPIs that are pertinent to their business. Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query.
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