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Informatica Big Data Tutorial

Informatica Big Data Website

 

Informatica Big Data YouTube/Video Tutorial Link

Informatica Big Data Edition

Informatica Big Data Management

Informatica Big Data Streaming

 

Informatica Big Data Job Titles

Informatica Data Quality
Informatica Developer

 

Informatica Big Data Alternatives

Talend Data Integration
AWS Glue
Microsoft SQL
Dell Boomi
SAP HANA
Cleo Integration Cloud
IBM InfoSphere Information Server
Software AG webMethods

 

Informatica Big Data Certification

PowerCenter Data Integration Certification

Data Quality Certification

Master Data Management Certification

Informatica Big Data Certification

 

Informatica Big Data Interview Questions

Top Informatica Interview Questions You Must Prepare In 2020

Top 50 Informatica Interview Questions & Answers

Informatica Interview questions and answers

 

Informatica Interview Jobs

Informatica ETL Interview Questions and Answers for 2020

Top Informatica Interview Questions and Answers

Informatica Interview Questions

 

Informatica Material

INFORMATICA TUTORIAL: Complete Online Training

Informatica Tutorial – Learn Informatica from Experts

Informatica PowerCenter

 

Informatica web Sample Resume

Informatica Developer Resume Samples

Writing an Informatica Resume: What You Need to Know

 

 

 

 

Overview of  Informatica Big Data

 

Architecture

Next Generation Data Management. … Informatica and Horton works optimize the entire big data supply chain on Hadoop, turning data into actionable information to drive business value. For example, the modern data architecture is increasingly being used to build a data lake.

 

Advantages

  •         Make better and more Immediate marketing decisions.
  •         Increase market share.
  •         Increase revenue and profitability.
  •         Improve customer support.
  •         One tool that acts as a single platform for data quality

 

Disadvantages

  •         Transaction rework costs.
  •         Cost incurred in implementing new systems.
  •         Delays In delivery data to decision makers.
  •         lost customers through poor service.
  •         Lost production through supply chain problems.

 

 

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