Data Warehouse Consulting Services
Customer story
Mobile eSports platform secured real-time analytics with BigQuery.
Modernized BigQuery architecture fast-tracked real-time analytics.
Pythian architected a high-concurrency Google BigQuery environment to secure real-time platform responsiveness and reduce data storage overhead.
As user communities expanded exponentially, a mobile eSports platform encountered mounting storage costs and critical processing lag on its historical AWS RedShift cluster. To drive personalized player experiences and execute real-time fraud detection, an event-driven framework was required to synchronize transactional data. Partnering with Pythian as an active extension of its internal engineering team, the organization refactored critical workloads into Google Cloud Dataflow and BigQuery without disrupting operations. Today, player events process in minutes instead of hours, allowing internal teams to deploy targeted behavioral updates continuously.
Working with Pythian was a smooth, seamless experience. They came in and hit the ground running, working like an extension of our engineering team, and joining in on our communications platforms, including the Slack team channel and Google Hangouts. They were very accommodating."
VP Engineering
Mobile eSports Platform
90%
Faster query processing
12M+
Mobile gamers enjoy better experience
Accelerate your cloud data warehouse capabilities and optimize storage spend.
The eSport’s platform explosive user growth outpaced legacy data warehouse capacity.
Pythian synchronized MySQL transactions into Google BigQuery and refactored RedShift ETL pipelines into Google Cloud Dataflow.
Some of the queries ended up being 10 times faster on BigQuerythan they had been on RedShift. It meant we would be able to run our processes every other minute or so. This translates into a much more responsive application."
VP Engineering
Mobile eSports Platform
Data volumes exploded operational cost
Rapid user community expansion generated a massive influx of operational records, forcing storage fees on the existing Amazon Redshift warehouse to rise past sustainable limits.
Sluggish query performance stalled agility
Critical player data suffered from severe backend processing delays, leaving business units unable to extract immediate behavior patterns.
Transactional pipelines required custom configuration
Streaming real-time events from a transactional MySQL database into an analytical warehouse framework required complex data architecture handling.
Hourly batch processing compromised security
Security teams could only analyze user data on an hourly loop, preventing immediate action against platform cheaters and fraudulent behaviors.
Realigned data architecture to fast-track queries.
Pythian migrated analytics workloads from legacy cloud environments onto a fully managed Google BigQuery architecture built to scale. Engineers refactored transactional structures and configured Google Dataflow to safely refresh critical query reporting every two minutes.
Built automated pipelines to execute real-time regional analytics models.
Our teams built automated Google Dataflow pipelines to stream live transactional MySQL data directly into a central Google BigQuery setup. Data architects mapped custom data configuration logic mapped geographic records into optimized tables to let business catalysts run automated analytics models across thousands of regional points.
Accelerate data architecture speeds to 10 times faster than historical baselines.
By optimizing configurations and queries, the team eliminated lag and boosted speeds by 10x. Consequently, processing cycles shrank from hours to minutes to power rapid marketing, while keeping BI dashboards responsive during traffic spikes.
Configured real-time automated scanning to block anomalies and fraud.
Pythian configured automated security models to continuously scan incoming user profile activity and trigger immediate automated defensive blocks. Integrating these streaming evaluation parameters directly into production clusters helped to capture bad actors with zero manual latency.
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Optimize cloud spend and maximize database performance.
Pythian is a proud Google Cloud Premier Partner
Lean into our deep expertise, and 25+ years of data heritage.
Our expertise spans the full Google ecosystem, helping customers harness the power of scalable cloud infrastructure, data analytics, and modern AI modelling to drive innovation. We combine world-class technical skills with a customer-centric approach to accelerate digital transformation and maximize the value of your Google investment.
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