Elastic cloud platforms empower enterprises to digitize their business, optimize analytics, and gain a competitive advantage. However, they first must get their data onto cloud platforms. This is no trivial task. Duplicate data, data inaccuracies, slow pipelines, and insufficient streaming capabilities can lead to a data swamp versus data clarity. But, with the right strategic approach, businesses can achieve accurate, real-time data arriving on the Cloud that can easily scale as organizational demands grow.

Cloud databases and cloud analytics platforms consume rivers of data from sources such as SaaS applications, telemetry sensors, and legacy databases on-premises. Each data point captures a digital event—the click of a customer purchase, turn of machinery gears, or arrival of a delivery package—that offers an opportunity. To operate and thrive, cloud platforms need streaming data pipelines to ingest and transform that data in a timely fashion. This webinar defines streaming data pipelines and why modern enterprises need them. It also explores how enterprise data teams can build efficient, effective streaming data pipelines that drive the modern digital business.

Join this webinar with Kevin Petrie, VP of Research at Eckerson Group, and Ido Friedman, CTO at Equalum, to learn:

• The role of streaming data pipelines in the cloud and hybrid environments
• The business demands driving their adoption
• Use cases for zero-downtime migrations and real-time ingestion
• Technical requirements and tool evaluation criteria
• Guiding principles to architect streaming data pipelines

Speakers:

- Kevin Petrie, VP of Research at Eckerson Group

- Ido Friedman, CTO at Equalum

Sponsor: Equalum