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A Definitive Guide to Using BigQuery Efficiently

Towards Data Science

Summary ∘ Embrace data modeling best practices ∘ Master data operations for cost-effectiveness ∘ Design for efficiency and avoid unnecessary data persistence Disclaimer : BigQuery is a product which is constantly being developed, pricing might change at any time and this article is based on my own experience.

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Google BigQuery: A Game-Changing Data Warehousing Solution

ProjectPro

BigQuery enables users to store data in tables, allowing them to quickly and easily access their data. It supports structured and unstructured data, allowing users to work with various formats. BigQuery also supports many data sources, including Google Cloud Storage, Google Drive, and Sheets.

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Rockset: 1 Billion Events in a Day with 1-Second Data Latency

Rockset

RockBench is designed to measure the most important characteristics of a real-time database. A real-time database is one that can sustain a high write rate of new incoming data, while at the same time allowing applications to make queries based on the freshest of data. This time lag is referred to as data latency.

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