数据分析在游戏行业中的典型场景与架构.pdf

《数据分析在游戏行业中的典型场景与架构.pdf》由会员分享，可在线阅读，更多相关《数据分析在游戏行业中的典型场景与架构.pdf（19页珍藏版）》请在三个皮匠报告上搜索。

1、?研?研?研?研?/?Source:Perishable insights,Mike Gualtieri,Forrester58%?75%?Content Provider?Service Provider?Platform?Channel?/?Payment Services?AdX/DSP?IP?研?研?研?研?/?LTV?Note:Lake Formation leverages the Glue Data Catalog?SDK?IngestionSDKEnrichment&ModelingAnalyticsReportingAndroidWebiOSUI ConsoleMSKKDSS

2、3ALBECS(Nginx+Vector)AdminRedshiftClickstream analytics SDKQuickSight(Global)AthenaSuperset(CN)Enrich:IP2Geo,UA,otherTransform:Standardize schemaStagingPipeline configuratorData simulatorMonitoring dashboardEventUserExplorative3P SDKsMobile clientsAmazon Managed Streaming for KafkaData lakehudiAmazo

3、n S3API clientsAmazon EMR?Amazon EMRUserAmazon DMSAmazon RDSAmazon Redshift?Zero ETL?Aurora MySQLZero-ETL?Redshift Serverless?ProducersApplicationTrace DataAmazon Service LogsSecurity LogsApplication/Infrastructure LogsApplication/Infrastructure metricsCollectorsAmazon Kinesis AgentCloudWatch Agentf

4、luentbitBeatsfluentdAmazon OpenSearch ServiceAggregatorsAmazon Managed Streaming for KafkaAmazon Simple Storage ServiceAmazon Kinesis FirehoseLogstashDashboardsOpenSearch Dashboards?OpenSearch Service?90%?务?Habby?HABBY?的?IT?IDC?-HABBY?CUSTOMER PROFILEINDUSTRYSoftware&InternetREGIONChina&WW?务?务?务?千?Amazon RedShift?千?务?千?2?千?练?务?千?Amazon Redshift?Amazon MSK?尽?尽?尽?2014?Real Time AnalyticsTHANKS!