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Results for "mapreduce+&+distributed+data+processing"
Skills you'll gain: Dataflow, Serverless Computing, Data Pipelines, Data Security, Data Processing, Identity and Access Management, Google Cloud Platform, Cloud Engineering, Data Storage Technologies, Containerization, Application Frameworks, Scalability
Skills you'll gain: Data Pipelines, Data Transformation, Extract, Transform, Load, Data Processing, Google Cloud Platform, Data Integration, Serverless Computing, Apache Airflow, Big Data, Apache Spark, Apache Hadoop, Cloud Storage, Performance Tuning
Skills you'll gain: NoSQL, Real Time Data, Query Languages, Scalability, Database Design, Application Deployment, Data Infrastructure, Database Architecture and Administration, Data Manipulation, Performance Tuning, Data Modeling, Data Storage Technologies, Data Processing
Skills you'll gain: Google Cloud Platform, Data Pipelines, Big Data, Data Processing, Kubernetes
Skills you'll gain: Dataflow, Data Pipelines, Performance Tuning, Data Integrity, Maintainability, Debugging, Data Processing, CI/CD, Unit Testing, Dashboard, Disaster Recovery
Skills you'll gain: Apache Hadoop, Real Time Data, Apache Kafka, Apache Hive, Apache Spark, AWS Kinesis, Apache Cassandra, Big Data, Data Infrastructure, Database Systems, Data Integration, MongoDB, SQL, Data Processing, NoSQL, System Design and Implementation, Distributed Computing, Scalability
- Status: Free
Skills you'll gain: Dataflow, Data Pipelines, Real Time Data, Data Processing, Extract, Transform, Load, Serverless Computing, Google Cloud Platform, Data Transformation, SQL
Skills you'll gain: Dataflow, Data Pipelines, Data Infrastructure, Debugging, Google Cloud Platform, CI/CD, Performance Tuning, Data Processing, Maintainability, Real Time Data, Unit Testing, Disaster Recovery, Integration Testing, Automation
Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Real Time Data, Data Processing, Pandas (Python Package), Serverless Computing, SQL, Jupyter, Google Cloud Platform
Johns Hopkins University
Skills you'll gain: Big Data, Apache Hadoop, Data Infrastructure, Data Processing, Analytics, Data Science, Distributed Computing, Linux, Software Installation, Scalability, System Configuration
Skills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Real Time Data, Query Languages, Programming Principles, Scripting, Machine Learning Algorithms, Graph Theory, Integrated Development Environments, Data Transformation, Development Environment, Distributed Computing, Performance Tuning
Skills you'll gain: Dataflow, Data Pipelines, Cloud Management, Data Processing, Debugging, Performance Tuning, Serverless Computing, CI/CD, Unit Testing, Disaster Recovery, Integration Testing
In summary, here are 10 of our most popular mapreduce+&+distributed+data+processing courses
- Serverless Data Processing with Dataflow: Foundations - 日本語版: Google Cloud
- Building Batch Data Pipelines on Google Cloud - 한국어: Google Cloud
- Real-Time Big Data Access using HBase: Boosting Performance: LearnQuest
- Build a BigQuery Processing Pipeline with Events for Cloud Run for Anthos: Google Cloud
- Serverless Data Processing with Dataflow: Operations en Español: Google Cloud
- The Ultimate Hands-On Hadoop: Packt
- Serverless Data Processing with Dataflow: Pipelines - 日本語版: Google Cloud
- Serverless Data Processing with Dataflow: Operations em Português Brasileiro: Google Cloud
- Serverless Data Processing with Dataflow: Develop Pipelines em Português Brasileiro: Google Cloud
- Big Data and Hadoop Foundations and Setup: Johns Hopkins University