Avoid Data Drift with for Cloud Data Warehouse

Presented by

Sean Anderson - Director of Product Marketing at StreamSets | Dash Desai - Technology Evangelist at StreamSets

About this talk

Cloud Data Warehouses are on the rise. As companies aim to make analytics pervasive across their organization, cloud data warehouses and data marts became a logical solution for delivering a familiar analytics experience but without the constraints of managing large DW infrastructure. Cloud Data Warehouses help reduce management and infrastructure costs, offload maintenance and uptime responsibilities, and allow users to simply load data and run queries instead of managing databases. However, migrating and streaming data to these new cloud managed services remains a freshman effort with many tools offering only simple ingestion functionality and limited data destinations. StreamSets has built an advanced integration with popular cloud Sw solutions like Snowflake, one of the world’s most popular cloud data warehouses. This level of integration provides fast synchronous and asynchronous ingest, multi-table uploads, and data drift compensation. StreamSets Control Hub helps users then manage a variety of pipelines, on-premise; across public clouds and cloud services. In this webinar you will... -Take a look at common usage patterns for Cloud Data Warehousing. -Understand the core functionality of the Snowflake connector. -Get information on the installation and operation of the new tool.

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The StreamSets DataOps platform enables companies to build, execute, operate and protect batch and streaming dataflows. It is powered by StreamSets Data Collector, award-winning open source software with approximately 2,000,000 downloads to date from thousands of companies. The commercial StreamSets Control Hub is the platform's cloud-native control plane through which enterprises design, monitor and manage complex data movement that is executed by multiple Data Collectors. Unique Intelligent Pipeline technology automatically inspects the data in motion, detecting unexpected changes, errors and sensitive data in-stream. Global 2000 customers use StreamSets for data lake ingestion, Apache Kafka enablement, cybersecurity, IoT, customer 360, GDPR compliance and more. In 2017, the company tripled its customer count and quadrupled revenues.