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Decoupling Compute and Storage for Big Data

Watch this on-demand webinar to learn how separating compute from storage for Big Data delivers greater efficiency and cost savings.

Historically, Big Data deployments dictated the co-location of compute and storage on the same physical server. Data locality (i.e. moving computation to the data) was one of the fundamental architectural concepts of Hadoop.

But this assumption has changed – due to the evolution of modern infrastructure, new Big Data processing frameworks, and cloud computing. By decoupling compute from storage, you can improve agility and reduce costs for your Big Data deployment.

In this webinar, we discussed how:

- Changes introduced in Hadoop 3.0 demonstrate that the traditional Hadoop deployment model is changing
- New projects by the open source community and Hadoop distribution vendors give further evidence to this trend
- By separating analytical processing from data storage, you can eliminate the cost and risks of data duplication
- Scaling compute and storage independently can lead to higher utilization and cost efficiency for Big Data workloads

Learn how the traditional Big Data architecture is changing, and what this means for your organization.
Recorded Jan 31 2018 64 mins
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Presented by
Tom Phelan, Chief Architect, BlueData; Anant Chintamaneni, Vice President, Products, BlueData
Presentation preview: Decoupling Compute and Storage for Big Data

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Faster Time-to-Value for AI / ML and Big Data Analytics
Hewlett Packard Enterprise (HPE) – which recently acquired BlueData and MapR – is transforming how enterprises deploy AI / Machine Learning (ML) and Big Data analytics. HPE’s container-based software platform makes it easier, faster, and more cost-effective for enterprises to innovate with AI / ML and Big Data technologies – either on-premises, in the public cloud, or in a hybrid architecture. With HPE, our customers can spin up containerized environments within minutes, providing their data scientists with on-demand access to the applications, data, and infrastructure they need.

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  • Title: Decoupling Compute and Storage for Big Data
  • Live at: Jan 31 2018 6:00 pm
  • Presented by: Tom Phelan, Chief Architect, BlueData; Anant Chintamaneni, Vice President, Products, BlueData
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