• How to store your Google Universal Analytics data in BigQuery

  Afraid of losing your historical Google Universal Analytics data when it goes away in July 2023? Don't worry anymore! Thanks to Dataslayer you can store all your historical UA data in a data warehouse such as BigQuery without the need of knowing any coding language! Follow the step-by-step guide with us by registering for free here and enjPopular

• How to create a project and a dataset in my BigQuery account

  In order to use our product you have to previously create a Project on Google BigQuery so the data transferred can be stored there. How to create a Project Once in Google BigQuery, click on Select a project. A window will appear, select New Project. (https://storage.crisp.chat/users/hSome readers

• Getting started with Dataslayer for BigQuery

  Learn how to start with Dataslayer BigQuery With our BigQuery product, you can import in seconds your marketing data into Big Query. As you already know, BigQuery is a data warehouse in which you can store any information in table format. It is usually somewhat complicated both the connection and the way to enter data from other sources, being a very manual process. Dataslayer connects your favorSome readers

• Solution to the BigQuery error: “This app was blocked”

  Do you see this o a similar message when trying to access our BigQuery integration? BigQuery error message This error means our app was blocked because Dataslayer has not been added as a trusted app in BigQuery. To fix it, you just need to add Dataslayer as a trusted app at this link: https://admin.google.com/u/1/ac/owl/list?tab=configuredAppshttps://admihttps://admin.google.com/u/1/ac/owl/list?tabFew readers

• How to visualize your BigQuery data into Google Data Studio

  Do you know that you can select all the existing data sources from our API (Facebook Ads, GA, Google Ads, LinkedIn, Instagram...), combine all of them and import all your marketing data into BigQuery using Dataslayer? Then you can visualize or create reports using Data Studio, without any code! Learn more here: https://dataslayer.ai/dataslayer-bigquery/Few readers

• Best BigQuery Practices thanks to Dataslayer

  The best way to start with Dataslayer for BigQuery is to do a historical data import, so you can have all your data into BigQuery. Then you must do a automated transfer so you can have your data updated at the moment in an automated way, without any manual task. See the video above to learn how to do it!Few readers

• Features to upload historical data into BigQuery

  When uploading data to Big Query, we can find different options depending on our needs. It is not the same to upload data from a couple of months than from several years, so we are going to see the different options we have when transferring our information using Dataslayer.Few readers

• Information about "The structure of the table X is different from the query configured in the schedule" in BigQuery

  Have you ever received this error when trying to insert your data into BigQuery? What is the cause of this error? This error appears when you try to insert data into a table whose configuration and characteristics are different from those of the data you are trying to insert. In other words, most likely you have modified the metricsFew readers

• Understanding the BigQuery platform

  Dataslayer BigQuery product will help you to easily import your marketing data into Big Query. Dataslayer serves as a link between your favorite connectors (GA4, Facebook, etc...) and BigQuery, so you can forget the whole manual and complicated importing process of Big Query. With our integration it has never been easier to import your historical data so that you never lose it and can visualize iFew readers

• How to cancel a manually splitted transfer in BigQuery

  Have you made a manually splitted transfer and got an error or it keeps retrying without success? Don't worry about it, you can cancel them! How to cancel Manually Splitted Transfers Once you have created the manually splitted transfer you WILL NOT see directly the button to cancel it. (https://storage.crisp.chatFew readers