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What Role Does Data Mining Play for Business Intelligence?

Jet Global

The path to doing so begins with the quality and volume of data they are able to collect. But data alone is not the answer—without a means to interact with the data and extract meaningful insight, it’s essentially useless. Let’s introduce the concept of data mining. Toiling Away in the Data Mines.

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How to Build a Performant Data Warehouse in Redshift

Sisense

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. OLTP vs OLAP. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing).

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Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

Metadata 105
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Bridge the Gap Between Reporting and Data Visualization in Power BI

Jet Global

In a rapidly evolving business environment, timely insights from data and the ability to react quickly to change are critical. Business intelligence is a key tool, empowering companies to get the most out of their data by providing tools to analyze information, streamline operations, track performance, and inform decision-making.

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What Is Embedded Analytics?

Jet Global

By leveraging data analysis to solve high-value business problems, they will become more efficient. This is in contrast to traditional BI, which extracts insight from data outside of the app. that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint.