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托普塔尔:在多云策略中启用数据流.pdf

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1、Matt KroonVP of Enterprise,ToptalChristina TaylorData and ML Ops EngineerToptal Enables Data Streaming Within Multi-Cloud StrategiesFireside Chat:Toptal Automates Data Analysis with Alteryx Confidential|3Agenda1.Toptal Digital and Business Services2.Toptal Solutions with Databricks3.Multi-Cloud Stre

2、aming Data Challenges4.Multi-Cloud Streaming Solutions5.Providing Reliability and Scalability to Machine LearningConfidential|4Toptal Digital and Business Consulting ServicesTechnology&DevelopmentDesign&BrandingProject ManagementProduct ManagementStrategy&FinanceThousands of Talent With Deep Experti

3、seFlexible Delivery Engagement ModelsEnsure Client Success with Quality and Speed Provide Specialized Expertise Subject matter experts with deep expertise deliver challenging solutionsExecute a Project Teams of experts delivering complex initiativesStrategic Services Consultants help clients define

4、their imperatives,strategies and programs giving the organization a competitive edgeTop 3%of talent in the worldHand-picked,highly vetted and curated talent networkExpert identification of the right talent within 3 to 5 daysHigh success rate in placing the right talent for a roleConfidential|5Toptal

5、 Solutions with Databricks Design/Architecture of one unified data management systemsAutomation of data pipelinesIntegration of multiple data sourcesImplementation of Databricks LakehouseData EngineeringArtificial Intelligence and Machine LearningData ScienceSolve problems and accelerate innovation.

6、Develop predictive analytics making better and faster decisionsLeverage Auto ML,ML Flow and the Datalakehouse as the central data management platformDesign/Architect complex data analysis systemsDevelop custom data science workflowsIntegrate,analyze and visualize dataImprove and accelerate decision

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Toptal是一家提供数字和商业咨询服务的公司,专注于技术开发、设计、品牌、项目管理、产品管理和策略财务等领域。他们拥有世界上前3%的顶尖人才,为客户提供高质量和快速的服务。Toptal还提供与Databricks相关的解决方案,包括数据管理系统的架构设计、数据管道的自动化、多数据源的集成以及Databricks湖屋的实施。文章还讨论了多云流数据平台的挑战和解决方案,以及如何将企业从企业数据仓库(EDW)迁移到开源格式。最后,文章介绍了Toptal的ML Ops堆栈,包括模型迭代、部署和质量控制的方法。
"Toptal如何通过多云策略实现数据流?" "Toptal的数字和商业咨询服务有哪些独特之处?" "如何在多云环境中实现机器学习的可靠性和可扩展性?"
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