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专场10.1-Cloud Bigtable 在广告技术中的使用-郭斌.pdf

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1、Cloud Bigtable在广告技术中的使用郭斌 Google Cloud 架构师What is Cloud BigtableCloud Bigtable is a petabyte-scale,fully managed NoSQL database service for use cases where low latency random data access,scalability and reliability are critical.Being fully managed,it can scale seamlessly.It can also integrate with t

2、he Apache ecosystem and supports the HBase API.Its the home for demanding persistent Key-Value and Columnar workloads on Google CloudSpeedHigh write throughput per node for random access workloadsHigh throughputConsistent 99th percentile low singledigit read and write latencyLow latencyWhats unique

3、about Cloud Bigtable?Replication modeZero touch,integrated and tuned for real-world HA use casesWorkload isolationApp profile to support different workloads against different regions.For example,batch vs serving pathBuilt for petabyte-scale consumer internetEarned its reputation with globally-availa

4、ble Google products like Ads,YouTube,Search,Maps,and Google AnalyticsExceptional throughputand storage capabilitiesDesigned and built for big dataApache HBaseImplemented in C+Multi-cluster deployments with eventual consistencyApp-profiles-multi-cluster routingNo customizations to Bigtable nodes(CPUs

5、,Memory,Disk IO)No customizations to Memtable,Blockcache“Hands-free”managed platformNo access to tablet servers for coprocessors,no server customizationsCloud BigtableImplemented in Java(heap and gc tuning)Peer replication similar to multi-cluster deployments with eventual consistency(manual backfil

6、l)Custom client connection handling for multi-cluster Custom machines and tuning for HBase cluster Requires management of tables,regions,balancing,and optimizationsSupport coprocessors,custom HBase buildsVSFrom developers point of view:Difference between HBase and Cloud BigtableHBaseCBTAccess:JavaHB

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Cloud Bigtable是Google Cloud提供的一种Petabyte级别、全托管的NoSQL数据库服务,适用于对低延迟随机数据访问、可扩展性和可靠性有严格要求的场景。其主要特点包括:高写入吞吐量、低延迟、自动水平扩展、支持Apache HBase生态和多种编程语言的API。 在广告技术中,Cloud Bigtable用于存储用户画像、实现快速的用户匹配,以及在实时竞拍过程中提供高效的特征服务。例如,通过Bigtable存储的Cookie匹配表进行用户识别,以及使用用户的行为数据实时训练机器学习模型,辅助广告主进行精准投放。 此外,Cloud Bigtable还支持多集群部署、应用配置文件以隔离不同工作负载,并且无需对节点或内存进行自定义配置,使其能够轻松应对大数据场景。与HBase相比,Cloud Bigtable提供了更优的性能和易用性,同时保留了HBase的兼容性。 综上所述,Cloud Bigtable以其卓越的性能和可扩展性,在广告技术和大数据领域赢得了良好的声誉,并在Google的多款全球产品如广告、YouTube、搜索和地图中得到了广泛应用。
"Cloud Bigtable在广告技术中的作用是什么?" "Cloud Bigtable与Apache HBase有何不同?" "如何使用Cloud Bigtable进行实时竞价?"
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