Observed Signal · Jun 10, 2022 · Technical Release · Source: CMSWire · Impact: 2/5 · Sentiment: Positive

Google Enhances Data Blending in Data Studio

Executive Signal Summary

Google has progressively improved data blending capabilities in its Data Studio analytics platform, providing analysts with more flexible options for combining data from diverse sources. The article details that in February 2022, Google expanded the data blend function to support multiple join types—including cross joins, inner joins, and right and full outer joins—beyond the previously available left outer join. It also highlights an updated data source selector that simplifies join configuration and lists 22 connectors for Google services such as Google Ads, Firebase, Google Analytics, and BigQuery, as well as newly released from beta connectors for Amazon Redshift and Microsoft SQL Server. Third-party vendors like Supermetrics offer additional connectors for platforms with APIs. While the feature abstracts query syntax, making inspection harder than with SQL, Data Studio provides a reliable centralized platform for creating visualizations from blended data.

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High Confidence

Feature update to Google Data Studio enhancing data blending capabilities, relevant to marketing analysts but not industry-shifting.

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Key Takeaways & Evidence Grounding

  • Google expanded Data Studio data blending to include cross join, inner join, right outer join, and full outer join, in addition to the default left outer join.
  • The updated data source selector introduced more configuration options for join conditions.
  • Google offers 22 connectors for its cloud services including Google Ads, Firebase, Google Analytics, and BigQuery.
  • Amazon Redshift and Microsoft SQL Server connectors were released from beta in 2022.
  • Third-party vendors such as Supermetrics have developed connectors for other data platforms where APIs are available.

Connected Companies & Entities

4 Entities mapped

“Google has been refining Data Studio to provide better blending capability and more flexibility in combining data....”

“There are also connectors for other platforms such as Amazon Redshift and Microsoft SQL server, both of which were released from beta this y...”

“There are also connectors for other platforms such as Amazon Redshift and Microsoft SQL server, both of which were released from beta this y...”

“Third party vendors like Supermetrics have developed connectors for other data platforms where an API is available....”

Ontology Mapping & Concepts

Primary Source Grounding & Direct Attribution
Direct Origin Attribution
Primary Reporting: CMSWire•Published: Jun 10, 2022
Original Coverage Title: “How Google Improved Data Blending in Google Data Studio”

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