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Develop a production-ready, modern data platform with BigQuery and beyond
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By leveraging Google BigQuery and App Engine, Wondermall was able to move fast with focusing on engineering and innovation from day one. Here’s how.
Raycatch implemented Google Compute Engine and Google Cloud Bigtable to power its daily solar asset data analyses, reducing processing times and improving performance while reducing
PerimeterX wanted to better ensure peak performance for its SaaS service to provide a best in class real-time security solution. Moving from a multi-cloud approach,
Crazy Labs’ digital marketing team analyzes streaming data from millions of data sources to optimize their campaigns. See how they did it with AWS here.
The AWS Cloud provides many of the building blocks required to help Voyager Labs implement a secure, flexible, and cost-effective data collection, storage and analytics
Using the Google Reference Architecture for Mobile Gaming Analytics, DoIT International and games developer Jelly Button cut costs for analytics on millions of daily users
What was once impossible, Aniview now explores tens of billions of rows in seconds while keeping costs to a minimum with Google BigQuery. This is
See how Outbrain utilizes Google BigQuery and Cloud Dataproc to make 275 billion highly targeted recommendations to 600+ million unique users every month.
Previously relying on 3rd-party services for its 350+ apps, Crazy Labs built its own platform on Google Cloud to unify its gaming data. Here’s whey
By leveraging Google BigQuery and App Engine, Wondermall was able to move fast with focusing on engineering and innovation from day one. Here’s how.
Raycatch implemented Google Compute Engine and Google Cloud Bigtable to power its daily solar asset data analyses, reducing processing times and improving performance while reducing costs by 80%.
PerimeterX wanted to better ensure peak performance for its SaaS service to provide a best in class real-time security solution. Moving from a multi-cloud approach, the company looked to consolidate its service on the fastest cloud provider possible.
Crazy Labs’ digital marketing team analyzes streaming data from millions of data sources to optimize their campaigns. See how they did it with AWS here.
The AWS Cloud provides many of the building blocks required to help Voyager Labs implement a secure, flexible, and cost-effective data collection, storage and analytics platform. These include AWS managed services that help ingest, store, find, process, and analyze both structured and unstructured data.
Using the Google Reference Architecture for Mobile Gaming Analytics, DoIT International and games developer Jelly Button cut costs for analytics on millions of daily users by more than two-thirds.
What was once impossible, Aniview now explores tens of billions of rows in seconds while keeping costs to a minimum with Google BigQuery. This is their story.
See how Outbrain utilizes Google BigQuery and Cloud Dataproc to make 275 billion highly targeted recommendations to 600+ million unique users every month.
Previously relying on 3rd-party services for its 350+ apps, Crazy Labs built its own platform on Google Cloud to unify its gaming data. Here’s whey did.
By leveraging Google BigQuery and App Engine, Wondermall was able to move fast with focusing on engineering and innovation from day one. Here’s how.
Raycatch implemented Google Compute Engine and Google Cloud Bigtable to power its daily solar asset data analyses, reducing processing times and improving performance while reducing costs by 80%.
PerimeterX wanted to better ensure peak performance for its SaaS service to provide a best in class real-time security solution. Moving from a multi-cloud approach, the company looked to consolidate its service on the fastest cloud provider possible.
Crazy Labs’ digital marketing team analyzes streaming data from millions of data sources to optimize their campaigns. See how they did it with AWS here.
The AWS Cloud provides many of the building blocks required to help Voyager Labs implement a secure, flexible, and cost-effective data collection, storage and analytics platform. These include AWS managed services that help ingest, store, find, process, and analyze both structured and unstructured data.
Using the Google Reference Architecture for Mobile Gaming Analytics, DoIT International and games developer Jelly Button cut costs for analytics on millions of daily users by more than two-thirds.
What was once impossible, Aniview now explores tens of billions of rows in seconds while keeping costs to a minimum with Google BigQuery. This is their story.
See how Outbrain utilizes Google BigQuery and Cloud Dataproc to make 275 billion highly targeted recommendations to 600+ million unique users every month.
Previously relying on 3rd-party services for its 350+ apps, Crazy Labs built its own platform on Google Cloud to unify its gaming data. Here’s whey did.
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