Results for "hadoop+ecosystem"
Pragmatic AI Labs
Skills you'll gain: Prompt Engineering, MLOps (Machine Learning Operations), Data Pipelines, Databricks, Generative AI, Data Lakes, Generative AI Agents, Data Governance, Data Architecture, AI Enablement, Data Modeling, Data Management, Data Processing, Data Strategy, Data Quality, Scala Programming, SQL, Python Programming, Data Visualization, Data Literacy
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)
Johns Hopkins University
Skills you'll gain: Apache Hadoop, Big Data, Apache Hive, Apache Spark, NoSQL, Data Infrastructure, File Systems, Data Processing, Data Management, Analytics, Data Science, Databases, Data Integration, SQL, Query Languages, File I/O, Data Architecture, Data Manipulation, Distributed Computing, Performance Tuning
Skills you'll gain: Apache Hadoop, Apache Hive, Extract, Transform, Load, Data Import/Export, HR Tech, Data Pipelines, People Analytics, Big Data, Data Migration, Data Integration, MySQL, Data Storage, Data Processing, Data Access, Authentications, SQL, Analytics, Database Management, Relational Databases, Data Architecture
Skills you'll gain: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Data Lakes, Analytics, Data Pipelines, Data Processing, Data Import/Export, Linux Commands, Linux, File Systems, Data Management, Distributed Computing, Command-Line Interface, Relational Databases, Software Installation, Java, C++ (Programming Language)
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Data Pipelines, Model Training, Feature Engineering, Model Optimization, DevOps, Agentic Workflows, Generative AI Agents, Data Store, Continuous Deployment, Data Preprocessing, Forecasting
What brings you to Coursera today?
Skills you'll gain: Apache Hive, Apache Mahout, NoSQL, Apache Hadoop, Extract, Transform, Load, Big Data, Data Warehousing, Data Pipelines, Application Deployment, Databases, SQL, Applied Machine Learning, Database Development, Performance Tuning, Data Processing, File Systems, Real Time Data, Query Languages, Database Management, Database Theory
Skills you'll gain: Apache Hadoop, Apache Hive, Big Data, Database Design, Social Media Analytics, Extensible Markup Language (XML), Database Management Systems, Database Management, JSON, Data Processing, Distributed Computing, Data Analysis, Analytics, Scalability, Extensible Languages and XML, Data Pipelines, Query Languages, Data Cleansing, Data Integration, Dataflow
Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Development Environment, Distributed Computing, Performance Tuning, Open Source Technology, Data Transformation, Debugging
Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, Database Development, Database Systems, Databases, Database Management Systems, Database Management, Extract, Transform, Load, Database Software, Database Administration, PySpark, Apache Hive, Machine Learning Methods, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Model Evaluation
Google Cloud
Skills you'll gain: Kubernetes, Google Cloud Platform, Cloud Infrastructure, Prompt Engineering, Containerization, Identity and Access Management, Cloud-Native Computing, Prompt Engineering Tools, CI/CD, Prompt Patterns, Cloud Platforms, Cloud Storage, Application Deployment, Cloud Management, Cloud Services, Virtual Machines, Scalability, Virtual Networking, Cloud Computing, Continuous Integration
Skills you'll gain: Apache Kafka, Apache Hadoop, Apache Spark, Real Time Data, Scala Programming, Data Integration, Command-Line Interface, Apache Hive, Big Data, Applied Machine Learning, Data Processing, System Design and Implementation, Apache Cassandra, Data Pipelines, Java, Distributed Computing, IntelliJ IDEA, Java Programming, Application Deployment, Enterprise Application Management
In summary, here are 10 of our most popular hadoop+ecosystem courses
- Enterprise AI and Data Engineering with Databricks: Pragmatic AI Labs
- Open source Data Engineering with Spark, dbt & Airflow: Coursera
- Big Data Processing Using Hadoop: Johns Hopkins University
- Apply and Analyze Sqoop for Hadoop ETL: EDUCBA
- Hadoop and Spark Fundamentals: Pearson
- Machine Learning Operations (MLOps) on Google Cloud: Google Cloud
- Hadoop & Big Data Foundations Mastery Course: EDUCBA
- Hadoop Big Data Analytics & Projects Mastery: EDUCBA
- Introduction to Big Data with Spark and Hadoop: IBM
- NoSQL, Big Data, and Spark Foundations: IBM
