AI - Data Analytics and Apache Spark
Duration
3 hours
Overview
Description
This Basic Analytics module provides an overview of different types of analytics and describes how organizations can benefit from using them. The second module describes the IBM Z Platform for Apache Spark (z/OS Spark) used for z/OS data analytics.
Audience
The initial module is aimed at application developers, data/business analysts, administrators and information architects who need to manage, process, and analyze big data.
Prerequisites
A general understanding of the z/OS environment is required.
Objectives
- After completing this course, the student will be able to identify:
- Identify the advantages and disadvantages of using analytics
- Identify the different types of analytics
- Identify the benefits of batch and real-time analytics
- Describe the purpose of Apache Spark on z/OS, and how it is processes data
Course Content
Basic Analytics
How Analytical Data is Used to Benefit Organizations
Descriptive, Diagnostic, Predictive, and Prescriptive Analytics
Analytics Terminology
How Businesses are Using Analytics
Batch and Real-Time Analytics
Leading Analytic Solution Providers and their Products
Introduction to Apache Spark on z/OS
Introduction to Apache Spark
Traditional Spark Features
How Spark on z/OS Accesses z/OS Data
Other Data Spark on z/OS Can Access
Spark on z/OS Features
Standalone Deployment
Client and Cluster Deploy Modes
Spark Processing on z/OS
Data Service Studio