Master the data pipelines, integrations, and automation tools that power modern data platforms — from ingestion & transform to API gateways and no-code workflow automation.
This module covers extraction, transformation and loading (ETL), orchestration, API gateway patterns, real-time streaming, and no-code automation platforms used by teams to move and operationalize data.
Learn practical use-cases, core strengths, and when to choose each tool in a modern data & integration stack.
Open-source workflow orchestration for authoring, scheduling, and monitoring data pipelines. Ideal for complex ETL workflows and DAG-based dependency management.
Managed data connector service that automates extraction and loading of data into warehouses with minimal configuration — great for rapid ingestion of SaaS sources.
Enterprise ETL platform with a visual designer, connectors, and data quality features for batch and streaming integration scenarios.
SQL-based transformation framework for building modular, testable, and version-controlled data transforms inside the data warehouse.
Enterprise integration platform (iPaaS) and ESB for API-led connectivity, complex integrations, and reusable API assets across large organizations.
Dataflow automation tool designed for real-time, low-latency data ingestion, routing, and transformation with an intuitive UI and rich connector set.
Lightweight to mid-market ETL/ELT tools for extracting and loading data into warehouses with easy setup and connector libraries.
Cloud-native API gateway for authentication, rate limiting, logging, and service mesh integrations; optimized for high performance and extensibility.
Enterprise-grade API management platform from Google that provides full lifecycle API management, analytics, security, and developer portal features.
No-code workflow automation platforms that enable quick integrations and process automation between apps, useful for non-engineer rapid automation.