Training: Advanced Big Data Analytics, Architecture, Management and Applications (ANDMA) 1.0

November 6-10, 2017

training landing page image.jpg

Training: Advanced Big Data Analytics, Architecture, Management and Applications (ANDMA) 1.0

About This Event

This course provides architectural designs and advanced hands on training on topics covering Scaling of cluster to thousands of nodes and management, Lambda architecture for streaming analytics, Data Life Cycle management with HDFS tiered storage, and different approaches for Multi-tenant Hadoop cluster deployments with Openstack, UCSD Express, or with MapR volumes and Work-load Automation topics concerning the deployment of Big Data clusters. It will cover the application and infrastructure architecture components for each use case with specific focus on Hadoop deployments. The training goes into details around UCSD Express end to end automation for big data.

Event Details

November 6-10, 2017
9:00 AM - 5:00 PM (Eastern Time)

For more information, please contact:

Cancellation Policy

Click here for our full cancellation policy.

Clicking the "register now" button indicates you have read and accept the ePlus cancellation terms.

Register Now!

ePlus respects our customers' and partners' ethics and compliance rules. Please ensure that your acceptance of any gift from us is consistent with your company's policies.
*NOTICE TO ALL PUBLIC SECTOR EMPLOYEES - We trust you understand ePlus' desire to ensure that we - and you - comply with applicable government gift and ethics rules set forth in Federal and State regulations, which restrict/prohibit public sector (government or education) employees from accepting gifts from entities doing or seeking official business with the public sector. A "gift" includes, but is not limited to, refreshments/meals, giveaways, raffles or other items of value, which are in excess of $20 in most instances. If you wish to receive any of these items, you may be required to pay market value for them. Some exclusions may apply for demo/seed units for organizational use.