BigQuery Jobs
BigQuery is a cloud platform that provides advanced analytics and a powerful set of developer tools to solve data-intensive problems. A BigQuery Developer is the expert who helps clients draw insights from massive datasets quickly and accurately. Thanks to BigQuery's speed, scalability, and flexibility clients can resolve data issues with ease. BigQuery also features an enterprise-grade security system which makes sure that the client's data is safe and secure.
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- Evaluating hundreds ofgb of data to inform decisions and improve business processes
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- Utilizing advanced analytics to visualize data and understand trends within data
- Coding APIs, automating existing processes, and creating original applications
- Enhancing existing BigQuery architectures with the latest features
Our BigQuery Developers help clients leverage the power of their data in producing impactful and cost-efficient results. With their skills they’ve designed successful strategies for better understanding critical information and forging new paths. By investing in a quality BigQuery Developer you can be sure that your project will be done right, on time, and to the highest standards.
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The data pipeline type we want is Appsflyer (app) / GA4 (web) data -> GCP -> Big Query. I will briefly share the necessary information at this time, so please check it. 1. Copying (linking) AppsFlyer and GA4 data to GCP a. GCP is in a contracted state, and environment settings are required (security settings, etc. required) 2. AppsFlyer a. All data supported by AppsFlyer & Data Locker must be linked b. Both raw data and aggregate data must be linked (all data provided by AppsFlyer, including SKAN) 3. GA 4 a. GA 4 is contracted and also includes GA 360 integration b. Both raw data and aggregate data must be linked (including SKAN) 4. Common to AppsFlyer & GA 4 a. Must be linked to a table to be searchable in Big Query b. All periods of saved data must be...
**Project Scope** Seeking skilled Data Analyst specializing in PUBG Mobile to elevate our team's performance using data insights. Project goals: * Performance Baseline: Deep understanding of our team's key metrics (individual players & team stats). * Competitive Benchmarking: Analyze opponents to uncover strengths, weaknesses, strategic tendencies. * Optimal Rotation Analysis: Decipher winning map rotation patterns from videos. Find areas we can improve. * Data-Driven Recommendations: Provide clear report on insights and suggest changes to team composition, drop spots, in-game decisions. **Project Deliverables** * Structured dataset in Google BigQuery with our team's gameplay stats + relevant opponent data. * SQL queries designed for meaningful performance insights. ...