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RESEARCH & RESOURCES

Available On-Demand - This webinar has been recorded and is now available for download.

Reducing Analytics Cycle Time with DataOps

Webinar Speaker: David Stodder, Senior Director of Research for BI, TDWI

Date: Thursday, September 12, 2019

Time: 9:00 a.m. PT, 12:00 p.m. ET

In today’s economy, the speed of data delivery for analytics can directly impact your business’s success. Business users are demanding more data from more sources faster and they need rapid transformation for analytics, too. However, yesterday’s systems and processes weren’t built to meet today’s demands; traditional data pipelines are not up to the task.

Enter DataOps, a powerful new discipline that brings together people, processes, and technologies to optimize data pipelines for the data-driven era. Through a combination of agile development methodology, rapid responses to user feedback, and continuous data integration, DataOps makes the data supply chain faster, more efficient, and more flexible. As a result, modern analytics initiatives are sustainable and businesses can take even greater advantage of the data revolution to pull ahead.

In the webinar Reducing Analytics Cycle Time with DataOps, a guest speaker from Forrester, as well as speakers from TDWI and Attunity (a division of Qlik), will introduce the powerful new discipline of DataOps, covering:

  • How DataOps brings people, processes, and technology together to accelerate data pipelines for modern data-driven initiatives
  • Key initial use cases for DataOps in your organization
  • An overview from Qlik (Attunity), a pioneer in DataOps, about their solutions for today’s enterprises

Guest Speakers:

Dan PotterDan Potter
VP of Product Marketing,
Attunity, a division of Qlik

A 20-year marketing veteran, Dan Potter is VP of Product Marketing at Attunity, a division of Qlik. In this role, Dan is responsible for product marketing and go-to-market strategies related to modern data architectures, data integration and DataOps. Prior, he held executive positions at Datawatch, IBM, Oracle and Progress Software where he was responsible for identifying and launching solutions across a variety of emerging markets including cloud computing, real-time data streaming, federated data and e-commerce.

Noel YuhannaNoel Yuhanna
Principal Analyst,
Enterprise Architecture Professionals

Noel covers big data, data warehouses, Hadoop, in-memory, databases, NoSQL, data integration, data virtualization, data archiving, cloud, ETL, information fabric, big data integration, data management, data tools, and data security for Enterprise Architecture Professionals. His current focus is on Forrester Wave™ evaluations, customer experience, industry trends, new and emerging markets, and architecture.

David Stodder

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