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Building for Inclusivity: The Technical Blueprint of Pinterest’s Multidimensional Diversification

Pinterest Engineering

For Pinterest, a visually inspiring platform with a mission to give everybody ideas fit for them, we saw an opportunity to start tackling this issue head-on. Signal Development and Indexing The process of developing our visual body type signal essentially begins with data collection.

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Building a Data-Centric Platform for Generative AI and LLMs at Snowflake

Snowflake

Figure 1: Visual Question Answering Challenge data types and results. To find the data you need and derive insights in the shortest time, we are developing code autocomplete, text-to-code, and text-to-visualizations in Snowflake worksheets for both SQL and Python. Join us in Vegas at our Summit to learn more.

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A Day in the Life of a Data Scientist

Knowledge Hut

This blog offers an exclusive glimpse into the daily rituals, challenges, and moments of triumph that punctuate the professional journey of a data scientist. The primary objective of a data scientist is to analyze complex datasets to uncover patterns, trends, and valuable information that can aid in informed decision-making.

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Cloud Business Intelligence: A Comparative Analysis of Power BI, QuickSight, and Tableau by Mike Morgan

Scott Logic

In this blog we will look at three of the leading tools, Microsoft Power BI, Amazon Quicksight and Tableau. It is not possible to add custom visualisation components, beyond embedding external visual content (typically using embeddable URLs). It supports up to a billion rows per dataset and tens of thousands of users.

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Travel Analytics: Data Sources, Use Cases, and Real-Life Examples

AltexSoft

External travel data sources and providers External data encompasses all types of information and datasets created outside a company and existing beyond its direct control, ownership, or management. For instance, a notable expert in this domain, OAG , has a suite of air-related datasets, including historical flight data spanning 20 years.

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How to Become a Data Engineer in 2024?

Knowledge Hut

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. Data Communication and Data Visualization with the help of graphs, charts, dashboards, etc. As a Data Engineer, you must develop Dashboards, reports, and other visualizations and learn how to optimize retrieving data. What is Data Science?

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Top 6 Big Data and Business Analytics Companies to Work For in 2023

ProjectPro

To answer this question at hand, this blog presents you 6 of the top big data companies to consider in the big data world. Paxata employees leverage high-tech technologies to develop innovative solutions around machine learning, distributed computing, cloud delivery, data visualization and statistical analysis.