Learn Informatica Cloud IICS

Learn Informatica Cloud – IICS, available at $44.99, has an average rating of 4.19, with 32 lectures, based on 564 reviews, and has 4344 subscribers.

You will learn about Informatica Cloud Cloud and On-Premise data integration ETL Data Integration This course is ideal for individuals who are ETL Developers or Data Integration Engineers or Data Architects or Database Developers or ETL Architects or Informatica PowerCenter Developers or BI Developers or Data Engineers or Sql Developers It is particularly useful for ETL Developers or Data Integration Engineers or Data Architects or Database Developers or ETL Architects or Informatica PowerCenter Developers or BI Developers or Data Engineers or Sql Developers.

Enroll now: Learn Informatica Cloud – IICS

Summary

Title: Learn Informatica Cloud – IICS

Price: $44.99

Average Rating: 4.19

Number of Lectures: 32

Number of Published Lectures: 32

Number of Curriculum Items: 32

Number of Published Curriculum Objects: 32

Original Price: $54.99

Quality Status: approved

Status: Live

What You Will Learn

Informatica Cloud

Cloud and On-Premise data integration

ETL

Data Integration

Who Should Attend

ETL Developers

Data Integration Engineers

Data Architects

Database Developers

ETL Architects

Informatica PowerCenter Developers

BI Developers

Data Engineers

Sql Developers

Target Audiences

ETL Developers

Data Integration Engineers

Data Architects

Database Developers

ETL Architects

Informatica PowerCenter Developers

BI Developers

Data Engineers

Sql Developers

                    Informatica’s product portfolio is focused on data integration: extract, transform, load, information lifecycle management, business-to-business data exchange, cloud computing integration, complex event processing, data masking, data quality, data replication, data virtualization, master data management, ultra messaging, and data governance. These components form a toolset for establishing and maintaining data warehouses.

                     Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data) and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. Data integration encourages collaboration between internal as well as external users. The data being integrated must be received from a heterogeneous database system and transformed to a single coherent data store that provides synchronous data across a network of files for clients. A common use of data integration is in data mining when analyzing and extracting information from existing databases that can be useful for Business information

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to IICS Services

Lecture 2: Runtime Environments

Lecture 3: Secure Agent

Chapter 2: Connections

Lecture 1: Oracle Connection

Lecture 2: PostgreSql Connection

Lecture 3: Flat File Connection

Chapter 3: Working with Source and Targets

Lecture 1: Load data from Source to Target

Lecture 2: Source Type – Multiple Objects

Lecture 3: Source Filter

Lecture 4: Source Sorting

Lecture 5: Source PreSql

Lecture 6: Source PostSql

Lecture 7: Source Override

Lecture 8: Target Update

Lecture 9: Target Upsert

Lecture 10: Target Delete

Lecture 11: Execution Properties

Chapter 4: Transformations

Lecture 1: Expression

Lecture 2: Filter

Lecture 3: Router

Lecture 4: Sorter

Lecture 5: Aggregator

Lecture 6: Joiner

Lecture 7: Joiner – Using Multiple Joiner

Lecture 8: Joiner – Master, Detail and Full Outer

Lecture 9: Connected Lookup

Lecture 10: Unconnected Lookup

Lecture 11: Union

Lecture 12: Sequence Generator

Lecture 13: Rank

Chapter 5: Tasks

Lecture 1: Mapping Task

Lecture 2: Synchronization Task

Instructors

Jim Macaulay
Software Development Architect

Rating Distribution

1 stars: 21 votes

2 stars: 23 votes

3 stars: 108 votes

4 stars: 203 votes

5 stars: 209 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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