返回顶部
返回首页 会员充值 我的足迹 返回上一页

托普塔尔:在多云策略中启用数据流.pdf

2023-06-04
文档编号:139152
文档页数:16
文档大小:3.92MB
下载积分:VIP专享
文档格式:PDF

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

托普塔尔:在多云策略中启用数据流.pdf_第1页
托普塔尔:在多云策略中启用数据流.pdf_第2页
托普塔尔:在多云策略中启用数据流.pdf_第3页
托普塔尔:在多云策略中启用数据流.pdf_第4页
托普塔尔:在多云策略中启用数据流.pdf_第5页

点击查看更多