Data integration
Learn how to keep your company’s data accessible, relevant, and timely
Data integration
Bring your data home, no matter where it originates. Learn about the technologies and processes you need to keep your data clean and accessible.
What is data integration?
- What is Streaming Data?
- What is Database Integration?
- What is Data Extraction? Definition and Examples
- What is Customer Data Integration (CDI)?
- What are Data Silos?
- Overcoming Healthcare’s Data Integration Challenges
- Experience the magic of shuffling columns in Talend Dynamic Schema
- Day-in-the-Life of a Data Integration Developer: How to Build Your First Talend Job
- Best Practices for Using Context Variables with Talend: Part 4
- Best Practices for Using Context Variables with Talend: Part 3
- Best Practices for Using Context Variables with Talend: Part 2
- Best Practices for Using Context Variables with Talend: Part 1
- An Informatica PowerCenter Developers’ Guide to Talend: Part 3
- An Informatica PowerCenter Developers’ Guide to Talend: Part 2
- 5 Data Integration Methods and Strategies
- Talend Job Design Patterns and Best Practices: Part 4
- Talend Job Design Patterns and Best Practices: Part 3
- Talend Job Design Patterns and Best Practices: Part 1
- What is Data Migration?
- What is Data Integration?
- Understanding Data Migration: Strategy and Best Practices
- Talend Job Design Patterns and Best Practices: Part 2
- An Informatica PowerCenter Developers' Guide to Talend: Part 1
- What is Data Mapping?
- What is change data capture?
Data lakes
Give your company a single source of truth for all data-driven decisions. Learn how to build a data lake that will serve every team, department, and project.
What is a data lake?
Data warehouses
When you need a structured repository for a dedicated project or team, you need a data warehouse. Catch up on the latest technology and best practices.
What is a data warehouse?
Big data
Solving data problems at scale calls for a very different approach. Find out how new strategies and technologies can help your company’s big data projects.
What is big data?
- Big Data in Marketing 101
- Big Data in Government
- Big Data and Agriculture: A Complete Guide
- Big Data in Retail: Common Benefits and 7 Real-Life Examples
- What is MapReduce?
- What is Apache Spark?
- Talend Performance Tuning Strategy
- Stream Processing Defined
- How Does Big Data Work for HR Analytics?
- How Big Data is Changing Healthcare
- Big Data in Media and Telco: 6 Applications and Use Cases
- Big Data for Supply Chain Management
- Big Data for Small Business: A Complete Guide
- Big Data and Privacy: What Companies Need to Know
- 7 Ways Big Data is Changing E-commerce
- 5 Ways to Optimize Your Big Data
- 2 Key Challenges of Streaming Data and How to Solve Them
- Defining Big Data Analytics for the Cloud
- What is Big Data? Free Guide and Definition
- Big Data in Finance - Your Guide to Financial Data Analysis
- What is Hadoop?
- Beginner’s Guide to Batch Processing
- An Intro to Apache Spark Partitioning
Cloud integration
Cloud computing offers many advantages — but it also raises some unique problems. Find out how to move and manage your company’s at in the cloud.
What is cloud integration?
- What is Cloud Computing?
- Cloud vs Data Center: Which is Better for Your Business?
- Cloud Integration Software - The Key to Modern Business Success
- Cloud data management: A foundational understanding
- What is multi-cloud integration? Benefits and challenges
- What is cloud integration? Examples and tools
- What is hybrid cloud? Strategy and benefits guide
- What is cloud migration? Strategies and tools
- What is iPaaS? What a Cloud Integration Platform Can Do for You
Data engineering
Technology is only half the data equation. Learn about the processes and infrastructure that can help your data and IT experts stay as effective as possible.
What is data engineering?
- Containerization in the Cloud
- What is Infrastructure as Code (IaC)?
- How Cloud Orchestration Solves Automation Growing Pains
- DevOps: Fastest Path to the Future of Development
- Continuous Integration - Defined and Decoded
- Data Engineering: A Guide to the Who, What, and How
- What is Service-oriented Architecture (SOA)?
- What is Data Science?
ELT and ETL
From complex transformations on small datasets to managing vast repositories of structured and unstructured data, catch up on trends in extraction, loading, and transforming data.
What is ETL vs ELT?
- What is Reverse ETL? Meaning and Use Cases
- ETL of the Future: What Data Lakes and The Cloud Mean for ETL
- Why ELT Tools Are Disrupting the ETL Market
- Understanding the ETL Architecture Framework
- ETL Testing: An Overview
- Data Wrangling: Speeding Up Data Preparation
- Data Wrangling vs. ETL
- Data Extraction Tools: Improving Data Warehouse Performance
- Best Practices for Managing Data Quality: ETL vs ELT
- ETL vs ELT: Defining the Difference
- What is ETL?
- What is ELT?
- ETL Tools: Finding the Best Cloud-Based ETL Software for your Business
- ETL in the Cloud: What the Changes Mean for You
Talend Open Studio tutorials
Talend Open Studio gets you building basic data pipelines in no time. Learn how to execute simple ETL and data integration tasks from a locally installed open-source environment.
How to Get Started with Talend Open Studio