Towards Data Science

MARCH 5, 2024

BigQuery basics and understanding costs ∘ Storage ∘ Compute · ? Introduction In the field of data warehousing, there’s a universal truth: managing data can be costly. Like a dragon guarding its treasure, each byte stored and each query executed demands its share of gold coins. Photo by Konstantin Evdokimov on Unsplash ?

Bytes 70

Bytes Google Cloud Cloud Storage Utilities 70

ProjectPro

JANUARY 24, 2023

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.

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Rockset

SEPTEMBER 15, 2020

With writing and querying of data, there is always an inherent tradeoff between high write rates and the visibility of data in queries, and this is precisely what RockBench measures. Semi-structured data. Most of real-life decision-making data is in semi-structured form, e.g. JSON, XML or CSV.

Database 40

Database Bytes Data Warehouse Data Pipeline 40