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.
Ido Friedman | CIO | Equalum
Seasoned data professional with more than 15 years of production experience as a data Architect, Data Engineer and CTO. Has vast hands-on experience in numerous data technologies across many industries.
Kevin Petrie | VP of Research @Eckerson Group
For 25 years Kevin has deciphered what technology means to practitioners, as an industry analyst, writer, instructor, marketer, and services leader. Kevin launched, built, and led a profitable data services team for EMC Pivotal in the Americas and EMEA, and ran field training at the data integration software provider Attunity (now part of Qlik). A frequent public speaker and co-author of two books on data streaming, Kevin also is a data management instructor at eLearningCurve.