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Benefits of Transferring Real-time Data to Hadoop at Scale with Hortonworks & IBM

Recorded on February 7th, 2018

As data is growing at an exponential rate, organizations are increasingly looking to leverage streaming data from mobile devices, wearable technology, and sensors for real-time processing and analytics. Gartner estimates that “By 2020, 70% of organizations will adopt data streaming to enable real-time analytics.” However, not all systems are designed to handle real-time data ingest business challenges. Real-time analytics requires zero latency and easy access to information when it is required.

In the webinar, we’ll discuss:

  • Adopting Modern Data Lake with the Hortonworks Data Platform
  • Making the most of Hortonworks Data Flow (HDF) for real-time data analytics to build a data lake
  • Challenges with real-time data ingest and managing data-in-motion workloads

Join subject matter experts from IBM and Hortonworks for a joint webcast to help you accelerate real-time data analytics and manage your data workloads efficiently.


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