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.

Cataloging Data – A Helpful Tutorial
Cataloging data involves creating a systematic inventory of your data. Use this data catalog tutorial as a guide to make data easily discovered & understood in your business.

What Is Data Democratization?
Data democratization provides secure universal access to data across an organization. It saves time and makes data easier to use for technical & non-technical teams members.

All About Data Integration Tools
Data integration tools bring together data from multiple sources in batch or real-time. Unify your data with powerful platforms & standalone tools for data integration

What Is Hyperautomation?
Hyperautomation expands the scope of automation capabilities with a layer of technology to orchestrate processes across platforms, technologies, and tools end-to-end.

Data Catalog vs Data Dictionary
When comparing data catalog vs data dictionary, know that both are useful in data management. One is an inventory of data assets, the other, a technical reference.

All About Database Migration
Database migration involves moving data from one or more source platforms to another target database. Learn how to plan your migrations to achieve optimal business outcomes.

All About Data Integration Services
Cloud based data integration services make it easier than ever to unlock the power of your data. Move projects faster with flexible data integration solutions like IDMC.

What is Data Mesh?
Data mesh focuses on building business-oriented data products. Learn more about its use, challenges and how it compares to other data architectures.

Data Governance Strategy Explained
A good data governance strategy defines how you’ll get the most from your data assets. Use a data governance roadmap to clarify how to get started and where to expand over time.

All About Data Ingestion Tools
The best data ingestion tools should help you overcome most common issues associated with hand coding & maintenance. Easily move or replicate data when and where you need it.

What is Data Wrangling?
Data wrangling is the process of removing errors from raw data. Ensuring your data is reliable and fit for purpose, you'll be able to reach actionable insights more quickly.

Data Lake vs Data Warehouse: Getting The Most From Your Data
Learn the difference between a data lake vs data warehouse. Find out how each type stores and manages data, the benefits of each and what's best for your use case.

What Is Data Replication?
Data replication is the process of moving or copying data from one place to another or storing data simultaneously in more than one location.

How a Data Loader Accelerates Data Uploads to Get Insights Faster
Using a data loader is a free, fast and frictionless way to load data to Google BigQuery. With high-speed data loading, you will be able to accelerate the overall analytics process.

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.

What Is Data Ingestion? Learn Key Use Cases, Capabilities, and Tools
Data ingestion is the process of moving and replicating data from various sources into a landing or raw zone like a cloud data lake or warehouse, where it can be used for business intelligence and advanced analytics readiness. Learn about common data ingestion use cases and seven essential data ingestion capabilities.

The Future of Digital Transformation for Healthcare
Learn how the healthcare industry can become more accessible, distributed, resilient, and efficient through digital transformation.

Accelerate Application Modernization with Informatica iPaaS
Discover how application modernization brace digital transformation initiatives from stalling or failing by providing a unified view of organizational data.

Taming Hybrid, Multi-Cloud Complexity with a Cloud Integration Platform
A Cloud Integration Platform integrates and synchronizes your data across hybrid, multi-cloud environments. Key benefits include- promoting simplicity and flexible choices and controlling cost overruns. Discover more benefits and use-cases.

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.

What is 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.

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.