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Report abuse. Highlights Arctic Code Vault Contributor. Dismiss Create your own GitHub profile Sign up for your own profile on GitHub, the best place to host code, manage projects, and build software alongside 50 million developers.

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It should also be noted that for some organizations, the same person may serve multiple roles so it would not be uncommon for a single person to evaluate a platform from more than one perspective.

Ultimately, the modern approach to business analytics will evolve to the point where it will no longer be possible or necessary to differentiate between an enabler, a producer, or a consumer of analytics within an organization.

Tableau and Google BigQuery allows people to analyze massive amounts of data and get answers fast using an easy-to-use, visual interface.

Optimizing the two technologies together will yield significant performance gains, shorten design cycles, and help users and organizations become more successful.

In this paper, we will discuss techniques to optimize data modeling and query formation to maximize the responsiveness of visualizations.

We will also discuss techniques to get the best cost efficiency when using Tableau and BigQuery together. Analytics For All.

This community is an endeavour to contain, share and propagate ideas from data enthusiasts and evangelists. If you live and breath data, you have found your ultimate destination.

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Creating a human like predictor to predict female facial beauty. Python 3 1. Computation using data flow graphs for scalable machine learning.

Models to predict superbowl champions. OpenEdge ABL. A curated list of awesome Python frameworks, libraries and software. Seeing something unexpected?

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Learn more. They can share and collaborate with Tableau workbooks and data sources. Distributed mobile and browser-based users can interact with workbooks published to the server from Tableau Desktop or embedded into company portals.

Tableau Desktop users can leverage prepared data sources published from Tableau Prep. The transition to a self-service-based, modern BI model requires IT to adopt a collaborative approach that includes the business in all aspects of the overall program see Redefining the Role of IT in a Modern BI World.

This guide focuses on the platform evaluation and selection aspect of a modern BI program. It should also be noted that for some organizations, the same person may serve multiple roles so it would not be uncommon for a single person to evaluate a platform from more than one perspective.

Ultimately, the modern approach to business analytics will evolve to the point where it will no longer be possible or necessary to differentiate between an enabler, a producer, or a consumer of analytics within an organization.

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