Learning Center

Guides

Data Engineering Tools: Types, Features, and 10 Essential Tools

Data engineering tools are software applications and platforms that assist in building, managing, and optimizing data pipelines.

Data Platform

Data Orchestration Tools: 10 Key Features & 10 Platforms to Know

Data orchestration tools manage workflows, automating the movement and transformation of data across systems.

Data Build Tool

dbt Lineage in Action: 3 Use Cases, Challenges and Best Practices

Data lineage tracks data end-to-end as it moves through systems, from origin to final destination.

Data Build Tool

Ultimate Guide to dbt Macros in 2025: Syntax, Examples & Pro Tips

dbt macros are reusable, parameterized SQL and Jinja templates that automate repetitive operations.

Data Pipeline

10 Data Ingestion Tools to Know in 2025: Open Source + Paid

Compare ingestion tools for structured, semi-structured, and unstructured data.

Data Pipeline

Data Pipelines with Python: 6 Frameworks & Quick Tutorial

A practical guide to Python frameworks for processes that move data from one system to another.

Data Lineage

Automated Data Lineage vs. Manual Tracking: A Practical Comparison

Compare accuracy, coverage, and root-cause speed, with guidance on when each approach makes sense.

Data Build Tool

dbt Unit Testing: Why You Need Them, Tutorial & Best Practices

Validate a dbt model’s SQL logic in isolation using a controlled set of static input data.

Data Platform

Data Quality Platform: Benefits, Key Features, and 10 Tools to Know

Learn how data quality platforms automate identification and correction of data errors.

Data Platform

Data Platform Buyer’s Guide: What to Evaluate

Evaluate declarative architecture, developer experience, and the true cost of ownership.

Data Pipeline

Data Pipelines on AWS: 12 Services & How to Use Them Effectively

Explore AWS services for ingestion, transformation, storage, analysis, and monitoring.

Data Build Tool

How dbt Snapshots Work, Quick Tutorial & Best Practices

Learn how dbt snapshots preserve changes in mutable tables and slowly changing dimensions.

Data Quality

Data Quality Checks: How to Test 6 Data Quality Dimensions

Evaluate data for accuracy, completeness, consistency, and other quality standards.

Data Lineage

Data Lineage for Compliance: GDPR, HIPAA, and What Auditors Want

Learn how column-level lineage produces audit-ready evidence on demand.

Data Quality

Data Reliability: Challenges, Measurement & Best Practices

Understand how to measure and improve the consistency and dependability of data over time.

Data Build Tool

Working with dbt Seeds: Quick Tutorial & Critical Best Practices

Use static CSV files in dbt projects and load them into your analytics warehouse.

Data Build Tool

dbt SQL Models: the Basics and Building Your First dbt Model

Build SQL files that define transformations and create views or tables in a data warehouse.

Data Quality

5 Things You Need to Achieve Data Visibility

Learn how to make organizational data accessible, understandable, and useful.

Data Build Tool

dbt Python: Running Transformations with Python on Data Warehouses

Write transformation logic in Python instead of SQL within the dbt ecosystem.

Data Engineering

Data Engineering with Python: 4 Libraries + 5 Code Examples

Build and maintain infrastructure for collecting, storing, and processing large-scale data.

Data Platform

Data Orchestration Simplified: Process, Capabilities, and Strategies

Understand the automated coordination of data movement and processing across systems.

Data Catalog

Data Catalog: Components, Challenges & 5 Critical Best Practices

Explore the centralized repositories that organize an inventory of data assets.

Data Pipeline

ETL Pipelines: 5 Key Components and 5 Critical Best Practices

Learn how ETL pipelines automate extraction, transformation, and loading.

Data Platform

Data Observability Buyer’s Guide: 8 Questions to Ask

Evaluate platforms beyond table scanning and avoid compute taxes and alert fatigue.

Data Pipeline

Data Pipeline Frameworks: Key Features & 10 Tools to Know in 2025

Compare structured systems for moving and transforming data within an organization.

Data Pipeline

Data Pipeline Architecture: 5 Design Patterns with Examples

Explore design patterns for collection, processing, and transfer of data.

Data Quality

Data Observability in 2025: Pillars, Pros/Cons & Best Practices

Understand the health and state of data across an organization.

Data Engineering

A 6-Step Data Engineering Workflow and 6 Ways to Optimize It

Optimize the steps from data acquisition through applications for data users.

Data Build Tool

ETL Tools: Key Features and 10 Tools to Know in 2025

Compare software solutions that manage and process data from multiple sources.