Data Lakes courses can help you learn data ingestion, storage management, data processing, and analytics techniques. You can build skills in data governance, schema design, and optimizing query performance. Many courses introduce tools like Apache Hadoop, Amazon S3, and Apache Spark, demonstrating how these technologies support efficient data handling and analysis. You'll also explore key topics such as data architecture, ETL processes, and data security, equipping you with practical knowledge to manage large datasets effectively.

Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Transaction Processing, Data Lakes, Data Architecture, Databricks, Data Infrastructure, Data Pipelines, Data Warehousing, Data Integration, Apache Spark, Data Processing, Real Time Data, Big Data, Scalability, Performance Tuning, Data Management, Data Quality, SQL
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Architecture, LLM Application, Data Quality, AI Workflows, Generative AI, Data Governance, Data Pipelines, Extract, Transform, Load, Distributed Computing, Data Management, Self Service Technologies, Cloud Storage, Data Processing, Data Storage, Scalability, Data Wrangling, Data Collection
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Warehousing, Data Flow Diagrams (DFDs), Data Modeling, Data Pipelines, Ansible, Cloud Security, Diagram Design, Data Validation, Database Design, Apache Airflow, Star Schema, Snowflake Schema, Interviewing Skills, Apache Spark, PySpark, CI/CD, Docker (Software), SQL, Workflow Management, Git (Version Control System)
★ 2.2 (6) · Intermediate · Professional Certificate · 3 - 6 Months
LearnQuest
Skills you'll gain: Data Warehousing, Data Visualization, Data Persistence, Cloud Deployment, Data Analysis, Cloud Computing, Data Architecture, Big Data, Cloud Services, Analysis, Analytics, Data Storage, Cloud Infrastructure, Scalability, Data Processing, Extract, Transform, Load, Public Cloud, Software As A Service, Database Architecture and Administration, Spreadsheet Software
★ 3.7 (166) · Beginner · Specialization · 3 - 6 Months

Intermediate · Course · 1 - 3 Months

Skills you'll gain: Apache Spark, PySpark, Data Engineering, Data Pipelines, Data Lakes, Data Governance, Databricks, Data Manipulation, Data Transformation, Data Processing, Performance Tuning, Data Access, Real Time Data, Data Capture, Devops Tools, DevOps, Apache
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Apache Airflow, CI/CD, Data Pipelines, Google Cloud Platform, Data Transformation, Data Warehousing, Data Processing, PySpark, Cloud Storage, Extract, Transform, Load, Data Modeling, Data Cleansing, Data Architecture, Cloud API, Cloud Deployment, Retail Management, Good Clinical Practices (GCP)
Intermediate · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Data Lakes, Data Warehousing, Data Architecture, Star Schema, Transaction Processing, Transact-SQL, Data Pipelines, Data Storage Technologies, Data Processing, Data Storage, Data Maintenance, Performance Tuning, Data Access, Dependency Analysis, Data Import/Export, Data Analysis
Advanced · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Data Governance, Data Management, Data Quality, Metadata Management, Data Security
Beginner · Course · 1 - 3 Months

Skills you'll gain: Databricks, PySpark, Apache Spark, Data Lakes, Data Pipelines, Data Processing, Data Warehousing, Distributed Computing, Data Architecture, JSON, Data Import/Export, Data Management, Data Entry, Database Architecture and Administration, Real Time Data, Data Collection, SQL, Python Programming, Machine Learning, Artificial Intelligence
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Warehousing, MongoDB, IBM Cognos Analytics, Extract, Transform, Load, NoSQL, Apache Spark, IBM DB2, Big Data, Dashboard Creation, Data Store, Dashboard, Business Intelligence, Data Pipelines, Analytics, Databases, Data Architecture, Apache Airflow, Relational Databases, SQL, Python Programming
★ 4.7 (144) · Advanced · Course · 1 - 3 Months