ANDMA-Advanced Big Data Analytics, Architecture, Management and Applications 1.0

COURSE OUTLINE:

Description

In this course, you will learn about scaling of cluster to thousands of nodes and management, Lambda architecture for streaming analytics, data lifecycle management with HDFS tiered storage, different approaches for multi-tenant Hadoop cluster deployments with OpenStack, UCSD Express, or with MapR volumes, as well as work-load automation topics concerning the deployment of big data clusters. Additionally, you will learn about application and infrastructure architecture components for each use case with specific focus on Hadoop deployments.

Audience

  • Channel partners
  • Business analysts
  • Business intelligence analysts
  • Data analytics engineers
  • Data architects

Prerequisites

  • Cisco big data analytics
  • Familiarity with Cisco UCS and big data fundamentals

Learning Objectives

  • Scale up to thousands of nodes
  • Business analytics including Splunk
  • Install and configure Red Hat, SPLUNK
  • Edge analytics (Social Media, IoT)
  • SQL on Hadoop
  • Data life cycle management for tiered storage of hot, warm and cold data
  • Install Hadoop as a service (on OpenStack)/Multi-tenant Hadoop cluster
  • End-to-end automation with UCSD Express for big data
  • Hadoop as a service on bare metal
  • Disaster recovery
  • Apply security

  1. Scaling to Thousands of Nodes - ACI
  2. Analytics � Splunk
  3. Edge Analytics (Social Media, IoT)
  4. SQL on Hadoop
  5. Data Life Cycle Management - Tiered Storage of Hot, Warm, and Cold Data
  6. Hadoop as a Service (on OpenStack)/Multi-Tenant Hadoop Cluster
  7. End-to-End Automation with UCSD Express for Big Data
  8. Hadoop as a Service on Bare Metal
  9. Disaster Recovery
  10. Security