BigQuery is a serverless, highly scalable, and cost-effective multi-cloud data warehouse built by Google Cloud. It is based on Google's internal column-based data processing technology, "Dremel", and therefore is able to handle both structured and semi-structured data. It is also a fully managed data warehouse and can automatically allocate computing and storage resources as you need them. - Source: dev.to / 7 days ago
RudderStack does not persist any of your customer data. RudderStack builds your CDP on your data warehouse, with support for cloud data warehouses like Amazon Redshift, Google BigQuery, and Snowflake. No more paying your CDP vendor a premium to store your data. No more concerns about whether your CDP vendor is keeping your customer data private and secure. No more crossing your fingers and hoping the BI, ML, or AI... - Source: dev.to / 26 days ago
Answer: B Https://cloud.google.com/bigquery/. - Source: dev.to / about 2 months ago
The storage component is simply where the data lives after extraction and loading. The most common artifact is a data warehouse or data lake depending on conceptual design. The most common services in this category are AWS Redshift, Google cloud Big query and Snowflake. - Source: dev.to / 3 months ago
To interact with BigQuery, first, we need to create a BigQuery account. For that, simply navigate to BigQuery in Google Cloud Platform, sign up for a GCP account, and create a new project there. We will be utilizing BigQuery within this project. - Source: dev.to / 4 months ago
Https://cloud.google.com/bigquery#section-8 - Store all programmatic log levels on Google Bigquery, Build and deploy a propensity to purchase a model for predicting customer purchasing behavior using BigQuery ML and AI Platform. - Source: Reddit / 6 months ago
"Google Cloud’s databases and analytics products such as BigQuery, Dataflow, Pub/Sub and Firestore brought Theta Labs unlimited scale and performance, allowing them to: ...". - Source: Reddit / 7 months ago
Alternatively, you can look into Google Cloud BigQuery (https://cloud.google.com/bigquery). There is a limit on how much data that can be processed per month with a free account although they do provide a $300 credit. They have a public GitHub repos data set here: https://console.cloud.google.com/marketplace/product/github/github-repos. This is an example on how the dataset can be used:... - Source: Reddit / 7 months ago
BigQuery is a serverless big data warehouse available as a part of Google Cloud Platform. It's highly scalable, meaning that it can process tiny datasets as well as petabytes of data in seconds, using more cloud capacity as needed. (However, due to BigQuery's distributed architecture, you can't possibly expect it to have a sub-second query response time.). - Source: dev.to / 8 months ago
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