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What Are OLAP (Online Analytical Processing) Tools?

Smart Data Collective

One of the most valuable tools available is OLAP. Using OLAP Tools Properly. Trend analysis, financial reporting, and sales forecasting are frequently aided by OLAP business intelligence queries. ( Several or more cubes are used to separate OLAP databases. OLAP’s disadvantages. see more ).

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Real-Time App Performance Monitoring with Apache Pinot

Analytics Vidhya

Apache Pinot, an open-source OLAP datastore, offers the ability to handle real-time data ingestion and low-latency querying, making it […] The post Real-Time App Performance Monitoring with Apache Pinot appeared first on Analytics Vidhya.

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DuckDB: An Introduction

Analytics Vidhya

Introduction DuckDB is designed to support analytical query workloads, also known as Online analytical processing (OLAP).” This article was published as a part of the Data Science Blogathon. In short, […]. The post DuckDB: An Introduction appeared first on Analytics Vidhya.

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What is OLAP?

Jedox

In this blog post, we’ll look at the definition of OLAP as well as an overview of the technology. We explain what lies behind OLAP, what cubes have to do with it and what makes the technology so powerful for modern planning, budgeting, and forecasting. Most modern EPM solutions rely on multidimensional OLAP, also called MOLAP.

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BI Cubed: Data Lineage on OLAP Anyone?

Octopai

This is how the Online Analytical Processing (OLAP) cube was born, which you might call one of the grooviest BI inventions developed in the 70s. OLAP cube is designed as a solution to pre-compute totals and subtotals when the database server is idle. The OLAP cube makes reading data across multiple dimensions manageable.

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How OLAP and AI can enable better business

IBM Big Data Hub

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.

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Simplify Online Analytical Processing (OLAP) queries in Amazon Redshift using new SQL constructs such as ROLLUP, CUBE, and GROUPING SETS

AWS Big Data

Solution overview Online Analytical Processing (OLAP) is an effective tool for today’s data and business analysts. An analyst can use OLAP aggregations to analyze buying patterns by grouping customers by demographic, geographic, and psychographic data, and then summarizing the data to look for trends.