Results for "data processing with apache spark"
Skills you'll gain: PySpark, Apache Spark, Model Evaluation, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Logistic Regression, Customer Analysis, Apache Hadoop, Predictive Modeling, Applied Machine Learning, Data Processing, Data Persistence, Advanced Analytics, Big Data, Apache Maven, Unsupervised Learning, Apache, Python Programming
University of Pittsburgh
Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage Technologies, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, Data Science, Data Transformation, Information Technology, Data Analysis, Python Programming
Skills you'll gain: Apache Kafka, Data Pipelines, Real Time Data, Apache Spark, Event-Driven Programming, Distributed Computing, Software Architecture, Performance Tuning, Real-Time Operating Systems, Application Deployment, Systems Architecture, Scalability, Data Processing, System Monitoring, Architecture and Construction, Data Transformation, Performance Management
Skills you'll gain: Data Flow Diagrams (DFDs), Apache Airflow, Data Pipelines, Data Modeling, Data Integration, Data Architecture, Data Warehousing, Apache Spark, Extract, Transform, Load, Database Development, Data Processing, Data Transformation, Data Quality, Data Validation, Configuration Management, Enterprise Security
Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Data Pipelines, Model Evaluation, Kubernetes, Supervised Learning, Distributed Computing
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, SQL, Query Languages, Data Manipulation, Java, Data Structures, Distributed Computing, Scripting Languages, Performance Tuning
What brings you to Coursera today?
Google Cloud
Skills you'll gain: Dataflow, Data Pipelines, Serverless Computing, Identity and Access Management, Data Infrastructure, Cloud Security, Cloud Computing, Data Integrity, Performance Tuning, CI/CD, Data Processing, Debugging, Real Time Data, System Monitoring, Data Storage Technologies, Unit Testing, Containerization, Interoperability, File I/O, Data Transformation
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, Data Transformation, Debugging
Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Classification Algorithms, Data Transformation, Regression Analysis
Skills you'll gain: Data Warehousing, Data Flow Diagrams (DFDs), Data Modeling, Data Pipelines, Ansible, Cloud Security, Data Validation, Database Design, Data Quality, Apache Airflow, Star Schema, Snowflake Schema, Interviewing Skills, Apache Spark, PySpark, CI/CD, Docker (Software), SQL, Workflow Management, Git (Version Control System)
Skills you'll gain: Dataflow, Data Pipelines, Serverless Computing, Data Processing, Apache Kafka, Cloud Security, Identity and Access Management, Debugging, Google Cloud Platform, System Monitoring, Real Time Data, Data Integrity, Data Transformation, CI/CD, Containerization, Data Storage Technologies, SQL, Unit Testing, Performance Tuning, Scalability
Skills you'll gain: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Real Time Data, Data Integration, PySpark, Data Pipelines, Data Management, Automation, Data Storage, Jupyter, File Systems, Development Testing, Data Processing, Data Quality
In summary, here are 10 of our most popular data processing with apache spark courses
- Spark and Python for Big Data with PySpark: EDUCBA
- Big Data Processing with Hadoop and Spark: University of Pittsburgh
- Design Real-Time Architectures with Spark & Kafka: Coursera
- Building Automated Data Pipelines with Spark,dbt,and Airflow: Coursera
- NoSQL, Big Data, and Spark Foundations: IBM
- Big Data Processing Using Hadoop: Johns Hopkins University
- Serverless Data Processing with Dataflow: Google Cloud
- Introduction to Big Data with Spark and Hadoop: IBM
- Machine Learning with Apache Spark: IBM
- Open source Data Engineering with Spark, dbt & Airflow: Coursera
