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Results for "etl (extract, transform, load) implementation"
Status: Free TrialSkills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Data Processing, Real Time Data, Data Cleansing, Big Data, Performance Tuning, Scalability
Status: Free TrialSkills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Linux Commands, IBM Cognos Analytics, Data Pipelines, Apache Kafka, Bash (Scripting Language), Shell Script, Data Visualization, Dashboard, File Management, Star Schema, Unix Shell, IBM DB2, Business Intelligence, Databases, Stored Procedure, Relational Databases
Status: Free TrialSkills you'll gain: Data Warehousing, Extract, Transform, Load, Star Schema, IBM DB2, Data Modeling, Snowflake Schema, PostgreSQL, Database Design, Data Architecture, Data Mart, Database Systems, Data Lakes, Data Validation, Data Integration, SQL, Data Cleansing, Query Languages, Data Quality
Status: NewStatus: Free TrialCoursera Instructor Network
Skills you'll gain: Apache Kafka, Data Warehousing, Extract, Transform, Load, Microsoft SQL Servers, Snowflake Schema, Star Schema, Performance Tuning, Data Pipelines, Cloud Computing Architecture, Business Intelligence, Real Time Data, Apache Hadoop, Data Modeling, Data Quality, Apache Spark, SQL, Generative AI, Prompt Engineering, Data Governance, Quality Management
Status: Free TrialSkills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security, Data Science
Status: Free TrialSkills you'll gain: Data Migration, Cloud Storage, Data Management, Data Integration, Data Storage, Data Infrastructure, Data Architecture, Extract, Transform, Load, Data Security, Data Pipelines, Disaster Recovery
What brings you to Coursera today?
Status: Free TrialSkills you'll gain: NoSQL, Apache Hadoop, Apache Spark, MongoDB, PySpark, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Generative AI, IBM Cloud, Applied Machine Learning, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management, Data Pipelines, Scalability
Status: Free TrialCertNexus
Skills you'll gain: Extract, Transform, Load, Data Manipulation, Data Cleansing, Data Processing, Data Transformation, Data Warehousing, Data Integration, Data Quality, Data Import/Export, Data Collection, Data Mining
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Data Warehousing, Extract, Transform, Load, Data Integration, Data Modeling, Data Architecture, Star Schema, Data Governance, Database Design, Data Mart, SQL, Relational Databases, Business Intelligence, Data Mining, Data Quality, Data Analysis
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Data Governance, Extract, Transform, Load, Data Warehousing, Data Integration, DevOps, Data Pipelines, CI/CD, Data Architecture, Infrastructure as Code (IaC), Data Quality, Amazon Redshift, Cloud Computing, Database Architecture and Administration, Cloud Computing Architecture, Analytics, Data Transformation, Amazon S3, Scalability
Status: Free TrialSkills you'll gain: Extract, Transform, Load, Power BI, Data Transformation, Data Cleansing, Query Languages, Data Manipulation, Data Integration, Data Validation, Data Import/Export, Data Quality, Data Analysis, Data Modeling, Anomaly Detection, Data Storage
- Status: Free Trial
Skills you'll gain: Extract, Transform, Load, Power BI, Data Validation, Data Transformation, Data Cleansing, Data Storage, Data Quality, Data Analysis, Data Integration, Data Storage Technologies, Business Intelligence
In summary, here are 10 of our most popular etl (extract, transform, load) implementation courses
- ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
- BI Foundations with SQL, ETL and Data Warehousing: IBM
- Data Warehouse Fundamentals: IBM
- Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI: Coursera Instructor Network
- Introduction to Data Engineering: IBM
- Data Integration, Data Storage, & Data Migration: SkillUp
- NoSQL, Big Data, and Spark Foundations: IBM
- Extract, Transform, and Load Data: CertNexus
- Data Warehousing and Integration Part 1: Northeastern University
- Data Warehousing and Integration Part 2: Northeastern University
