The Beginner’s Guide to Data Analysis With Google’s BigQuery

If we keep going at our current pace, we will compute 2.5 quintillion bytes of data every day.

With all of that data, it can be too much to sift through to manage your data analysis. Thankfully, Google found a way to help you out with that. 

With Google’s BigQuery, you’ll be able to sort through all of your data and analyze it. But how do you do that, and what are the benefits of using it? Keep reading to find out!

What Is It?

BigQuery is hosted by Google, and it’s a fully-managed cloud database. It’s very scalable and flexible, and you can quickly query even big amounts of data. 

One of the main reasons that people love using BigQuery is because that it works quickly. Even if you have a lot of data, you won’t have to wait long. Some other services, like Python, could take forever to get your data to you. 

A lot of the great features it offers include flexible pricing, different add-on services, data streaming, and an elastic structure. 

How to Get Started With BigQuery

If you’re new to BigQuery, it’ll seem very confusing at first when you start data modeling and trying to run data analysis.

But to get started, you can follow this quick and easy example. There are tons of public datasets that you can practice on before you start messing with your own, just to get a feel for how it works. 

For example, you could try using the “bigquery-public-data:stackoverflow” set. Once you find that one, click on “Add Data.” This will let you select the datasets you want.

Next, find the language that has the fastest response time in the community. Once you do that, just write a query. 

Once you’ve written the query, click “Execute,” and it’ll give you a response in just a few minutes. 

Link Other Services to BigQuery

If Google BigQuery isn’t doing enough of what you need it to, you can always try linking an additional service to it, like Improvado.

You can also link it to BigQuery BI Engine. This is an add-on that helps to create a dashboard for you to easily analyze harder sets of data. Using this dashboard, you can easily see all kinds of trends in business data. 

BigQuery ML is great for scientists as well. You can use this to make machine learning models out of their datasets. This can help them make predictions or recommendations for certain projects. 

Learn More About How to Use BigQuery

These are only a few things to know about how to use BigQuery, but there are many more tutorials that you can find online.

We know that trying to analyze large sets of data can be stressful at times, but we’re here to help walk you through it!

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