insights from E-Commerce retail data set

We are using Bigquery as our data warehouse solution and using standard SQL as query language . For dataset we use Google’s Google Analytics logs of an merchants website. You need to enable your bigquery account which has a daily limit and there after it is cost effective. Click Navigation menu > BigQuery. Click Done. BigQuery public datasets are…

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BigQuery ML(move your model towards data and not data towards model)

Overview BigQuery ML enables users to create and execute machine learning models in BigQuery using standard SQL queries. BigQuery ML democratizes machine learning by enabling SQL practitioners to build models using existing SQL tools and skills. BigQuery ML increases development speed by eliminating the need to move data. BigQuery ML functionality is available by using:…

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Query GitHub data using BigQuery

BigQuery is Google’s fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes of data without needing a database administrator or any infrastructure to manage. BigQuery uses familiar SQL and a pay-only-for-what-you-use charging model. BigQuery allows you to focus on analyzing data to find meaningful insights. In this post we’ll see how…

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Explore a BigQuery Public Dataset

Storing and querying massive datasets can be time consuming and expensive without the right hardware and infrastructure. Google BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google’s infrastructure. Simply move your data into BigQuery and let us handle the hard work. You can control access…

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Visualizing BigQuery data in a Jupyter notebook with SQL

BigQuery is a petabyte-scale analytics data warehouse that you can use to run SQL queries over vast amounts of data in near realtime. Data visualization tools can help you make sense of your BigQuery data and help you analyze the data interactively. You can use visualization tools to help you identify trends, respond to them, and…

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