Data Engineering Integration: Administration

Instructor Led | Data Engineering | 3 days | Version 10.5

Course Overview

Set up a live DEI environment by performing various administrative tasks such as Hadoop integration, Databricks integration, security mechanism set up, Data Engineering recovery, monitoring, and performance tuning. Learn to integrate the Informatica domain with the Hadoop and Databricks eco-system leveraging Hadoop’s lightning processing capability, and Databricks’ analytics cloud platform technology to churn huge data sets. Applicable for users of software version 10.5.

Objectives

After successfully completing this course, students should be able to:

Describe DEI Architecture
List DEI Components
List the steps to enable SAML on the Domain
Create Cluster Configuration Object for Hadoop integration
Set up Informatica Security that includes different Authentication and Authorization mechanisms
Tune the performance of the system
Monitor, view, and troubleshoot DEI logs

Target Audience

Administrators

Prerequisites

None

Agenda

Module 1: Data Engineering Integration (DEI) Overview

Data Engineering and the role of DEI in the Big Data ecosystem
DEI Components
DEI architecture
Roles and responsibilities of Informatica DEI Administrator
DEI engines: Blaze, Spark, and Databricks
DEI 10.5 features

Module 2: SAML Authentication

SAML overview
SAML authentication in a domain
Steps to enable SAML on an existing Informatica domain

Module 3: Hadoop Integration

Cluster Integration overview
Data Engineering Integration Component Architecture
Prerequisites for Hadoop integration
HDP integration tasks
Create a Cluster Configuration
Integration with Hadoop
Lab: Create Cluster Configuration Object
Lab: Explore Cluster Configuration Views
Lab: Cluster Configuration Privileges and Permissions

Module 4: Security Overview

DEI security
Security aspects
Authentication overview
Authorization overview

Module 5: Kerberos Authentication and Ranger Authorization

Kerberos Authentication
Ranger Authorization
Pre-steps to run mappings in a Kerberos-Enabled Hadoop Environment
Run mappings on a cluster with Kerberos authentication and Ranger authorization
Lab: Execute Pre-steps for Running Mappings in a Kerberos-Enabled Hadoop Environment
Lab: Run Mappings in a Kerberos-Enabled Hadoop Environment