Reference Articles


We’ve collected informative articles on a variety of data management topics, from iPaaS to master data management and data privacy, to help architects, developers, and business analysts gain knowledge, better understand enterprise data management challenges, and explore best practices.

What is Data Quality?

What is Data Management?

What is Application Modernization?

Discover what application modernization is and some common application modernization strategies that can be leveraged to update your apps and systems.

What is Low Latency?

Discover what low latency is and how important it is for companies across most industries to process high volumes of fast-moving data from various sources.

What is API Integration?

Discover what API integration is and how it enables a seamless exchange of data in real time allowing users to add to and organize their data structures.

What is Cloud Integration?

Discover cloud integration and how it propels businesses forward by bringing data together from applications, on-premises systems, and more.

Improving Business Operations with Geocoding

Discover what geocoding is and how geocoding addresses improves overall data quality making it an integral part of a company’s data transformation efforts.

What Is A Data Lake?

Discover what a data lake is and how they help businesses store data “as is” which makes it more available for analytics, big data processing, and more.

What is Data Intelligence?

Discover what data intelligence is and how it can be leveraged to drive more meaningful and actionable insights for your business.

What is Data Integration?

Data integration brings together data from different sources to produce useful business information or initiate new business processes. Learn more about the benefits of data integration and the three basic operation steps; ETL.

What is Data Preparation?

Data preparation refers to the process of cleaning, standardizing and enriching raw data to make it ready for advanced analytics and data science use cases.

What is a Data Warehouse?

A data warehouse is a central repository that aggregate structured data in an organized manner.

What is Data Visualization?

Data visualization is the presentation of information in a more insightful format; such as a graph, chart, scatter plot or diagram

What is ELT (Extract, Load, Transform)?

Extract, load, transform is an important data integration method used to achieve optimal business intelligent. Discover how the ELT approach provides 5 important benefits across a variety of industries.

What Is Data Lineage?

Discover why data lineage is critical for data governance, privacy, and more—plus best practices and top data lineage techniques to get an end-to-end view of all your data.

Customer Data Platform: Best Practices

A customer data platform (CDP) can put valuable information at your fingertips. Learn about CDP best practices and start discovering insights needed to personalize customer interactions and build loyal relationships.

What You Need to Know About Supplier Relationship Management

See top supplier relationship management challenges, learn about supplier relationship management best practices, and addressing the top supplier relationship challenges .

Data Stewardship Best Practices

Learn about the key principles of data stewardship and nine best practices to set your data stewards up for success.

What is Metadata Management?

See why metadata—and active metadata—matters for data integration, and get eight best practices to manage your metadata for business success.

What Is a Data Pipeline?

Learn why data pipelines play a crucial role in cloud success, plus best practices and six steps to build efficient data pipelines.

What is Product Information Management (PIM)?

Learn the basics and benefits of product information management, how it differs from MDM, and why you need a comprehensive PIM strategy.

What Is Data Stewardship?

Get an inside perspective on data stewardship and why it’s a critical component of data governance success.

An Introduction to Cloud Data Integration

Cloud Data Integration supports agility, speed, and flexibility--we'll discuss four common ways to integrate your cloud data and how to get started.

Customer Insights Platform: Developing Insights and Beyond

Take a closer look at customer insight platforms and how they help companies use, analyze, govern, manage, and share data to improve customer experience.

What is Data Analytics?

Discover how you can identify correlations, trends, customer preferences, and other strategically relevant patterns in your data with data analytics.

Lift and Shift: A Guide to Benefits, Challenges, and Cloud Migration Alternatives

Learn about this cloud migration path, its pros, cons, and top use cases, as well as other options for migrating data and applications to the cloud

Discover the Fundamentals of Data Governance

Get five steps to start your data governance journey, including top elements for success and inspiring customer stories.

Cloud Data Migration: What You Need to Know

Understand the benefits of migrating to the cloud and get a cloud data migration checklist to help you plan and start a successful migration project.

Understanding the Basics of Data Transformation

Get back to basics with a look at the core capabilities of data transformation, why it's important to modern enterprises, and how it supports digital transformation.

API Management and iPaaS: How They Benefit Your Day-to-Day Business

Learn how API management delivers business benefits and how Informatica Intelligent Cloud Services and API Management solutions enhance the value of your data and APIs.

5 Ways a Cloud Integration Hub Increases Business Resiliency

Discover how to ensure resilient, reliable cloud integrations with the hub-and-spoke architecture of Informatica Cloud Integration Hub.

An Introduction to Big Data Engineering

Curious about big data engineering? Learn about the core capabilities of data engineering and how it benefits your business.

Customer Engagement Platform vs Customer Relationship Management: Major Difference Explained

Learn about differences between customer engagement platform (CEP) and customer relationship management (CRM) and how to evaluate CEP vs. CRM.

Quick Guide to Customer Data Platforms and MDM Solutions

What’s the connection between customer data platforms and master data management? Discover how CDPs and MDM help you make sense of your data.

The Basic Components of Data Quality

Discover why data quality is an essential element for analytics success and four steps you can take to improve the quality of your data.

Customer Experience Use Cases

Learn how customer experience software, powered by customer data and supplier information, helps you form accurate customer profiles

The Basics and Benefits of a Cloud Data Warehouse

Learn the difference between a cloud data warehouse and traditional data warehouse, plus best practices for migrating to a cloud data warehouse for improved agility and scalability

The iPaaS Advantage

Everything you need to know about integration platform as a service—from definition to use cases.

Cloud Data Management: Understanding the Value

Learn about today’s unique big data privacy challenges and why protecting big data must be built into your data integration and management strategy.

Customer Data Platform: Capabilities and Benefits

Learn why next-generation CDPs are a key driver of modern customer experience strategy including their 5 defining capabilities, how they evolved, and top CDP benefits.

Customer Data Management: What It Is and Best Practices

Are you getting the most from your customer data? Our customer data management best practices will help you build an end-to-end CDM solution.

The Importance of a Customer Intelligence Platform

Discover the basics of customer intelligence, key industry use cases, and why a modern customer intelligence platform is the anchor of great customer experience.

Big Data Use Cases for 2020 and Beyond

Learn how healthcare, government, the automotive industry, and others are successfully using big data for business benefits.

Big Data in Manufacturing

Discover the value big data in the manufacturing industry delivers by turning data into actionable analytics that boost efficiency, quality, and productivity.

What is Product Experience Management?

Learn the differences between product experience management and product information management, and why they are both important to build relevant customer experiences.

What is Data Anonymization?

Learn about data anonymization benefits and its central role in helping companies protect sensitive data while maintaining its business value.

Data Governance Programs: Positively Impacting Your Decision Making

Build a strong data governance foundation to support data-driven decisions with stewardship, data quality, and AI-driven automation.

What is Data Mapping?

Understand how data mapping helps you connect data to identities to control data access, and data mapping’s central role in GDPR, CCPA, and other global privacy compliance mandates.

Data Governance Framework: Pillars for Success

Understand the four key elements of data governance readiness and how a strong data governance framework helps you define the structure for your data governance program.

Big Data Characteristics: How They Improve Business Operations

Wondering about the four characteristics of big data? Learn the four Vs of big data, what we consider to be the fifth V, and how Informatica solutions address no-limits big data.

Data Governance Challenges and Best Practices

Learn how to start and continue a successful enterprise data governance program, including the 4 core processes and data governance examples.

Big Data and Privacy: What You Need to Know

Learn about today’s unique big data privacy challenges and why protecting big data must be built into your data integration and management strategy.

Master Data Management: What It Is and Why It Matters

Everything you need to know about master data management (MDM): the effort to create a single master reference source for all critical business data

IoT Data Management: The Rise of Industrial IoT and Machine Learning

Learn about the difference between IoT and Industrial IoT, including IoT use cases and five must-have capabilities for IoT data management.

Big Data: What You Need to Know

Learn about big data characteristics and how you can use big data to make better decisions and improve productivity.

What is ETL?

ETL stands for extract, transform and load. ETL is a type of data integration process referring to three distinct steps to used to synthesize raw data from it's source to a data warehouse, data lake or relational data base.

Cloud-Native: What Is It and How Will Your Business Benefit?

Cloud-Native is an approach that allows businesses to take advantage of the cloud infrastructure and services to accelerate digital transformation. Benefits to the cloud-native approach include; flexibility, agility, scale and cost.