Date: Wed, 15 Jun 2016 01:07:49 +0000
<p>Analytics is an essential part of many platforms, but it is specially important for gaming. Today we discuss how Google Cloud makes analytics simpler and super powerful. <a href="https://twitter.com/kir_titievsky">Kir Titievsky</a> from <a href="https://cloud.google.com/pubsub/overview">Google Cloud Pub/Sub</a>, <a href="https://twitter.com/ericmander">Eric Anderson</a> from <a href="https://cloud.google.com/dataflow/">Google Cloud Dataflow</a>, and <a href="https://twitter.com/thetinot">Tino Tereshko</a> from <a href="https://cloud.google.com/bigquery/">Google BigQuery</a> will tell your co-hosts <a href="https://twitter.com/francesc">Francesc</a> and <a href="https://twitter.com/neurotic">Mark</a> how those three products get together to power an amazing analytics solution for gaming.</p> <h5 id="about-kir">About Kir</h5> <p>Kir Titievsky is product manager on Google Cloud Pub/Sub which helps users build analytics pipelines & integrate services, massive and small. He has come to GCP after building mobile enterprise apps for Googlers as well as products for advertising & media agencies at DoubleClick. Before Google, Kir designed advertising recommendation engines as a data scientist. Kir once took a detour to get a PhD in Chemical Engineering from MIT.</p> <h5 id="about-eric">About Eric</h5> <p>Eric Anderson is a product manager on Dataflow, a stream and batch data processing service. Before Dataflow, he started a growth analytics team in Google Cloud. Previously he worked at AWS and GE. Eric holds an engineering degree from the University of Utah and MBA from Harvard.</p> <h5 id="about-tino">About Tino</h5> <p>Tino Tereshko is a Technical Program Manager for BigQuery, the world’s only serverless analytics Data Warehouse. Before joining the BigQuery team, Tino worked with strategic cloud customers as a Solutions Architect. Prior to Google, Tino worked in stream processing, financial analytics, and even spent some time as a quant developer.</p> <h5 id="cool-thing-of-the-week">Cool thing of the week</h5> <ul> <li>BigQuery 1.11, now with Standard SQL, IAM, and partitioned tables! <a href="https://cloud.google.com/blog/big-data/2016/06/bigquery-111-now-with-standard-sql-iam-and-partitioned-tables"> post</a></li> </ul> <h5 id="interview">Interview</h5> <ul> <li>Building a Mobile Gaming Analytics Platform - a Reference Architecture <a href="https://cloud.google.com/solutions/mobile/mobile-gaming-analysis-telemetry"> docs</a></li> </ul> <p><img src="https://cloud.google.com/solutions/mobile/images/telemetry-01-reference-architecture.png" width="100%" /></p> <ul> <li>Google Cloud Pub/Sub <a href="https://cloud.google.com/pubsub/overview">docs</a></li> <li>Google Cloud Dataflow <a href="https://cloud.google.com/dataflow/">docs</a></li> <li>Google BigQuery <a href="https://cloud.google.com/bigquery/">docs</a></li> <li>ETL: Extract, transform, load <a href="https://en.wikipedia.org/wiki/Extract,_transform,_load">Wikipedia</a></li> <li>Apache Beam Project <a href="http://beam.incubator.apache.org/">docs</a></li> <li>MapReduce: Simplified Data Processing on Large Clusters <a href="http://research.google.com/archive/mapreduce.html">research paper</a></li> <li>The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing <a href="http://research.google.com/pubs/pub43864.html">research paper</a></li> <li>Pushing the Limits of BigQuery <a href="https://www.youtube.com/watch?v=6Nv18xmJirs">video</a></li> </ul> <h5 id="question-of-the-week">Question of the week</h5> <ul> <li>Google BigQuery Public Datasets <a href="https://cloud.google.com/bigquery/public-data/">docs</a></li> <li>The first TB is free! <a href="https://cloud.google.com/bigquery/pricing#query-pricing-details">pricing</a></li> </ul>