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?
- 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
- An Informatica PowerCenter Developers’ Guide to Talend: Part 2
- An Informatica PowerCenter Developers’ Guide to Talend: Part 3
- What are Data Silos?
- Understanding Data Migration: Strategy and Best Practices
- What is Data Extraction? Definition and Examples
- What is Customer Data Integration (CDI)?
- Experience the magic of shuffling columns in Talend Dynamic Schema
- Overcoming Healthcare’s Data Integration Challenges
- Best Practices for Using Context Variables with Talend: Part 1
- Talend Job Design Patterns and Best Practices: Part 2
- What is Streaming Data?
- An Informatica PowerCenter Developers' Guide to Talend: Part 1
- What is Database Integration?
- What is Data Mapping?
- 5 Data Integration Methods and Strategies
- What is change data capture?
- What is Data Integration?
- What is Data Migration?
- Day-in-the-Life of a Data Integration Developer: How to Build Your First Talend Job
- 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
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?
- What is Hadoop?
- Beginner’s Guide to Batch Processing
- Big Data for Supply Chain Management
- Big Data and Privacy: What Companies Need to Know
- Stream Processing Defined
- What is Apache Spark?
- An Intro to Apache Spark Partitioning
- How Does Big Data Work for HR Analytics?
- 2 Key Challenges of Streaming Data and How to Solve Them
- 7 Ways Big Data is Changing E-commerce
- Big Data in Media and Telco: 6 Applications and Use Cases
- How Big Data is Changing Healthcare
- Big Data in Government
- Big Data and Agriculture: A Complete Guide
- 5 Ways to Optimize Your Big Data
- What is MapReduce?
- Big Data in Retail: Common Benefits and 7 Real-Life Examples
- Big Data for Small Business: A Complete Guide
- Talend Performance Tuning Strategy
- Big Data in Finance - Your Guide to Financial Data Analysis
- Big Data in Marketing 101
- What is Big Data? Free Guide and Definition
- Defining Big Data Analytics for the Cloud
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 iPaaS? What a Cloud Integration Platform Can Do for You
- What is multi-cloud integration? Benefits and challenges
- Cloud data management: A foundational understanding
- Cloud vs Data Center: Which is Better for Your Business?
- What is Cloud Computing?
- Cloud Integration Software - The Key to Modern Business Success
- What is cloud integration? Examples and tools
- What is cloud migration? Strategies and tools
- What is hybrid cloud? Strategy and benefits guide
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?
- DevOps: Fastest Path to the Future of Development
- What is Infrastructure as Code (IaC)?
- How Cloud Orchestration Solves Automation Growing Pains
- Containerization in the Cloud
- Continuous Integration - Defined and Decoded
- What is Data Science?
- What is Service-oriented Architecture (SOA)?
- Data Engineering: A Guide to the Who, What, and How
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?
- ETL Testing: An Overview
- ETL of the Future: What Data Lakes and The Cloud Mean for ETL
- Why ELT Tools Are Disrupting the ETL Market
- ETL Tools: Finding the Best Cloud-Based ETL Software for your Business
- What is Reverse ETL? Meaning and Use Cases
- ETL in the Cloud: What the Changes Mean for You
- Understanding the ETL Architecture Framework
- Data Wrangling vs. ETL
- Data Extraction Tools: Improving Data Warehouse Performance
- Best Practices for Managing Data Quality: ETL vs ELT
- Data Wrangling: Speeding Up Data Preparation
- What is ELT?
- What is ETL?
- ETL vs ELT: Defining the Difference
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