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Learn ETL, earn certificates with paid and free online courses from UNAM, Northeastern University , Beijing Union University and other top universities around the world. Read reviews to decide if a class is right for you.
Informatica Scenarios Practically Solved with explanation.
Zero to Hero in IBM Datastage with Datastage VM with Subtitles in English, Spanish, German, French and Russian.
Master data migration techniques using Python to efficiently transfer and transform data between MySQL and BigQuery, covering secure connections, authentication, and automated ETL processes.
Gain the knowledge you need to build data pipelines in a data-driven world.
Matillion Essentials: Build ETL Solutions with Confidence, ETL Bootcamp, Matillion Associate Certification Exam Prep.
Forging a Strong Ground for Spatial and non-Spatial ETL workflows.
Master data integration with Talend Open Studio, TMC, and AWS components. Build ETL pipelines, handle multiple data formats, and implement real-world scenarios using PostgreSQL for professional-grade data solutions.
Talend Real World Projects (Data warehouse, Data lake , Data Migration )
Informatica IICS: Cloud Data Integration Strategies and Best Practices, Cloud Integration Mastery in Action for Success.
Learn how Delta Live Tables simplifies ETL, enhances data pipeline reliability, and automates tasks. Discover modern software engineering practices for efficient data transformation and improved analytics, data science, and ML outcomes.
Explore ETL monitoring from Azure to Snowflake using ADF, Splunk, and Power BI. Learn data lineage and observability techniques for efficient pipeline management.
Discover how Daft library enhances Ray clusters with distributed ETL capabilities, enabling seamless data processing, analytics, and ML/AI integration for scalable, high-performance workflows.
Explore how traditional ETL tools like Singer and Meltano can enhance data pipeline management for LLM applications, addressing production-level challenges beyond basic LangChain capabilities.
Discover how zero-ETL capabilities streamline data integration from enterprise apps like Salesforce into Amazon SageMaker Lakehouse and Redshift, automating extraction for enhanced analytics and ML solutions.
Discover how zero-ETL capabilities in AWS services streamline data integration between Aurora and Redshift, eliminating pipeline complexity while enabling direct data access across various sources.
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