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


Analytics ? Splunk Overview

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. Also covers topics related with Best practices around Data Disaster Recovery as well as its security.

Upon completion of this course, you will be able to:

  • Be able to scale up to thousands of nodes
  • Become familiar with Business Analytics including Splunk
  • Install and configure Red Hat, SPLUNK
  • Describe Edge Analytics (Social Media, IoT)
  • Describe SQL on Hadoop
  • Describe Data Life Cycle management for Tiered Storage of Hot, Warm and Cold data
  • Install Hadoop as a Service (on OpenStack)/Multi-tenant Hadoop cluster
  • Review End to End Automation with UCSD Express for Big Data
  • Describe Hadoop as a Service on Bare Metal
  • Describe Disaster Recovery
  • Apply Security

Module 1: Scaling to thousands of nodes - ACI

Module 2: Analytics – Splunk

Module 3: Edge Analytics (Social Media, IoT)

Module 4: SQL on Hadoop

Module 5: Data Life Cycle management - Tiered Storage of Hot, Warm and Cold data

Module 6: Hadoop as a Service (on OpenStack)/Multi-tenant Hadoop cluster

Module 7: End to End Automation with UCSD Express for Big Data

Module 8: Hadoop as a Service on Bare Metal

Module 9: Disaster Recovery

Module 10: Security

Labs:

  • Lab 1: Introduction to Cisco ACI for Big Data Cisco Validated Designs
  • Lab 2: Splunk
  • Lab 3: Administering Hadoop on Cisco UCS
  • Lab 4: SQL on Hadoop with Hive
  • Lab 5: Cisco UCS Director Express for Big Data
  • Lab 6: Apache Falcon Pipelines
  • Lab 7: Security with Knox and Ranger

 

 


SQL on Hadoop Course schedule & Prices

Course Details Schedule
Live Virtual Classroom (Instructor-Led)
Duration : 5 Days (10 Days for 4 Hours/Day)
Fee : On Request
9 AM - 5 PM (Flexible Time Slots for 4 hours option)




Client's Location
As per mutual convenience
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
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Course Prerequisites

Attendees should meet the following prerequisites:

  • Attended Cisco Big Data Analytics, Archtecture and Management (ANDMB)
  • Familiarity with Cisco UCS and Big Data Fundamentals
Recommended prerequisites:
  • ANDMA - Advanced Big Data Analytics, Architecture, Management and Applications