ã¯ããã«ããã«ã¡ã¯ãFinatextã§è¨¼å¸ãã©ãããã©ã¼ã ï¼Brokerage as a Serviceã以ä¸BaaSï¼ã®éçºã«æºãã£ã¦ããç³æ©ï¼@bashi0501ï¼ã§ããéå»ã®Finatextããã¯ããã°ã§ã¯TerraformãCDKã¨IaCããã¼ãã«ããè¨äºããæ¸ãããã¨ããªãã£ãã®ã§ãããä»åã¯ãã°ã®åææ´»ç¨ããã¼ãã¨ãã¾ãã æ¦è¦å¼ç¤¾ã®è¨¼å¸äºæ¥ã§ã¯ECSã«ããã¯ã¼ã¯ãã¼ããçµãã§ãã¾ããæ¬ãã¼ãã®ã¢ããªã±ã¼ã·ã§ã³ãã°ã«ã¤ãã¦ã¯æ¨æºåºåãããã®ãawslogsãã°ãã©ã¤ãã¼ãååãã¦CloudWatch Logsã«éä¿¡ãã¦ãã¾ãã ãã°ã®æ¤ç´¢ã¨ãã観ç¹ã§ã¯CloudWatch Logs Insightsã¨ãããµã¼ãã¹ã§ããªããªããã«ãã£ã«ã¿ã¼ãéè¨ãè¡ããã¨ãã§ããã®ã§ããããã°ãã¼ã¿ãå ã«ããã¦ã¼ã¶ã¼ã®ãã¡ãã«åæãæ¥åæ¹åï¼å¾è¿°ãã¾ãï¼ã«æ´»ããã¦ããããã¨ããæå³ããããããã
Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? ä¸ã®ä¸çã«ã¯åæãªã©ãããéã«ã¯BigQueryã®ã±ã¼ã¹ãå¤ãã¨æãã¾ãããä»äºã§Amazon Athenaã触ãã±ã¼ã¹ãåºã¦ããã®ã§ãå ¥éã¨ãã¦ã¾ã¨ãã¦ããã¾ãã Amazon Athenaã¨ã¯ BigQueryã¿ãããSQLã§å¤§ããªãã¼ã¿ãéè¨ãªã©ã§ããAWSã®ãµã¼ãã¹ã§ãã åæã®ä»ã«ãä»ã®AWSãµã¼ãã¹ã®ãã°ç¢ºèªãªã©ã§ã使ãããããã¾ãããä»åã¯åæå¯ãã®è¨äºã¨ãã¦é²ãã¾ãã BigQueryã¨æ¯ã¹ã¦å¤§ããç°ãªãç¹ã¨ãã¦ãããã¼ã¿ãS3ã«é ç½®ãããã¨ããç¹ãããã¾ãï¼ããã«ããã¡ãªãããªã©ã¯å¾è¿°ï¼ã ã³ã¹ãã¯ã©ããªã®ï¼ åºæ¬çã«
ã¯ããã« çããããã«ã¡ã¯ãç³æ©ã§ãã 2020å¹´9æ8æ¥ãã9æ30æ¥ã¾ã§ãªã³ã©ã¤ã³ã§è¦è´å¯è½ãªã¯ã©ã¦ãã«ã³ãã¡ã¬ã³ã¹ãAWS Summit Online 2020ãéå¬ä¸ã§ãï¼ï¼ æ¬ã¨ã³ããªã§ã¯ã©ã¤ãã»ãã·ã§ã³ãAAB-03ï¼Architecting and Building - ãã°ãã¼ã¿ç¨ã®ãã¼ã¿ã¬ã¤ã¯ï¼åæç°å¢ãã¯ã¤ãã¯ã«æ§ç¯ããã«ã¯ï¼ãã®ã¬ãã¼ãããå±ããã¾ãã æ¦è¦ ã¹ãã¼ã«ã¼ ã¢ãã¾ã³ ã¦ã§ã ãµã¼ãã¹ ã¸ã£ãã³æ ªå¼ä¼ç¤¾ æè¡çµ±æ¬æ¬é¨ ã½ãªã¥ã¼ã·ã§ã³ã¢ã¼ããã¯ã ä¸ä½ç² æ ã¢ãã¾ã³ ã¦ã§ã ãµã¼ãã¹ ã¸ã£ãã³æ ªå¼ä¼ç¤¾ æè¡çµ±æ¬æ¬é¨ ã½ãªã¥ã¼ã·ã§ã³ã¢ã¼ããã¯ã éé æä¸é ã»ãã·ã§ã³æ¦è¦ ãã°ããã¼ã¿ãã¼ã¹ã«è²ã ãªãã¼ã¿ãæºã¾ã£ã¦ãããã§ããã°ãã¼ã¿ãéãã¦åæããããã ãã©ãã©ã®ããã«ããã°è¯ããåãããªããã¨ããæ¹ãå¤ãã®ã§ã¯ãªãã§ãããããæ¬ã»ãã·ã§ã³ã§ã¯ãæ¶ç©ºã®ã
å æ¥ãAWS Glueã®æ°æ©è½ã¨ãã¦ãªãªã¼ã¹ããããAWS Glue DataBrewãã ãã³ã¼ããæ¸ããã«âãã¼ã¿åå¦çâãä½æã»å®è¡å¯è½ããªæ©è½ãã¨ãã触ãè¾¼ã¿ã§ããããããã¥ã¡ã³ãã«ã¯ä¸é£ã®æä½ãæ©è½ã確èªåºæ¥ãããã¥ã¼ããªã¢ã«ããç¨æããã¦ãã¾ãã Getting started with AWS Glue DataBrew - AWS Glue DataBrew ããã§å½ã¨ã³ããªã§ã¯ãå ¬å¼ããã¥ã¡ã³ãã§ç´¹ä»ããã¦ãããã¥ã¼ããªã¢ã«ãå®è·µãã¦ããä¸ã§å¿ è¦ã¨ãªãç¨èªã®ç解ãåã³ãã¥ã¼ããªã¢ã«ã®å®è·µå 容ã«ã¤ãã¦ç´¹ä»ãã¦ããããã¨æãã¾ãã(â»ãªãããã¥ã¼ããªã¢ã«æ¬ç·¨ã試ãã¦ã¿ãã¨ãããç»åãã£ããã£ã¨æ å ±éãå端ç¡ãããªã¥ã¼ã ã«ãªã£ã¦ãã¾ã£ãã®ã§ããã¥ã¼ããªã¢ã«å®è·µå 容ã«ã¤ãã¦ã¯ç« æ¯ã«ã¨ã³ããªãåãã¦å±éãã¦ãã¾ãããäºæ¿ãã ãã) ç®æ¬¡ AWS Glue DataBrewã®åºæ¬æ¦å¿µ
ããã«ã¡ã¯ãUZOUã®ãããã¯ãéçºããã¦ããã¨ã³ã¸ãã¢ã®@kanga333ã§ãã UZOUã§ã¯åºåãã¼ã¿ã®éè¨ã®ä¸é¨ã«Amazon Athenaãæ¡ç¨ãã¦ãã¾ãã ãã®è¨äºã§ã¯UZOUã«ãããAthenaã使ã£ããã¼ã¿å¦çåºç¤ã®è¨è¨ã«ã¤ãã¦ç´¹ä»ãããã¨æãã¾ãã å ¨ä½æ§æ ãã¼ã¿å¦çåºç¤ã®å ¨ä½æ§æã¯æ¬¡ã®ããã«ãªã£ã¦ãã¾ãã 以å¾ã¯ããããã®ã³ã³ãã¼ãã³ãã«ã¤ãã¦é 次紹ä»ãã¦ããã¾ãã Fleuntdã«ããS3ã¸ã®éç´ UZOUã§ã¯ç¹ã«Fluentdã¢ã°ãªã²ã¼ã¿ã®ãããªä¸ç¶ãµã¼ãã¯è¨ãã¦ãã¾ãããåºåé ä¿¡ãµã¼ãã«å¸¸é§ããFluentdããã°ãç´æ¥S3ã«ããããã¦ãã¾ãã 以ä¸ã¯Fluentdã®S3 outputé¨åã®è¨å®ã®ä¸é¨æç²ã§ãã <buffer time> @type file timekey 60m </buffer> path example_table/dt=%Y%m%d/h
ã©ã³ãã³ã°
ãç¥ãã
ã©ã³ãã³ã°
ãªãªã¼ã¹ãé害æ å ±ãªã©ã®ãµã¼ãã¹ã®ãç¥ãã
ææ°ã®äººæ°ã¨ã³ããªã¼ã®é ä¿¡
å¦çãå®è¡ä¸ã§ã
j次ã®ããã¯ãã¼ã¯
kåã®ããã¯ãã¼ã¯
lãã¨ã§èªã
eã³ã¡ã³ãä¸è¦§ãéã
oãã¼ã¸ãéã
{{#tags}}- {{label}}
{{/tags}}