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Results for "hadoop+and+mapreduce"
Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Data Lakes, Data Warehousing, Real Time Data, Data Management, Data Infrastructure, Unstructured Data, Cloud Storage, MLOps (Machine Learning Operations), Applied Machine Learning, Tensorflow, Big Data, Cloud Infrastructure, Data Visualization, Extract, Transform, Load, Dashboard, Data Architecture, Data Processing
Skills you'll gain: Dataflow, Google Cloud Platform, Looker (Software), Data Pipelines, Real Time Data, Data Lakes, Big Data, Data Warehousing, Dashboard, Cloud Infrastructure, Data Infrastructure, Data Visualization, Cloud Storage, Extract, Transform, Load, Data Architecture, Data Processing, Apache Airflow, Unstructured Data, MLOps (Machine Learning Operations), Tensorflow
Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Distributed Computing, SQL
Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Statistical Machine Learning, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Transformation, Statistical Analysis
Skills you'll gain: NoSQL, Apache Hadoop, Apache Spark, MongoDB, PySpark, Machine Learning Methods, Apache Hive, Databases, Machine Learning Algorithms, Apache Cassandra, Big Data, Machine Learning, Generative AI, IBM Cloud, Applied Machine Learning, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management
Skills you'll gain: Dataflow, Data Pipelines, Data Processing, Real Time Data, Serverless Computing, Data Transformation, Jupyter, SQL
Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Lakes, Scikit Learn (Machine Learning Library), Applied Machine Learning, Deep Learning, Data Transformation, Machine Learning, Distributed Computing, Exploratory Data Analysis
Google Cloud
Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Extract, Transform, Load, Data Processing, Data Transformation, Serverless Computing, Data Integration, Big Data, Apache Spark, Apache Hadoop, Cloud Storage
Skills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Real Time Data, Data Mart, Big Data, Performance Tuning, Databases, Scalability
Skills you'll gain: Apache Spark, Managed Services, Google Cloud Platform, Big Data, Apache Hadoop, Data Management, Servers
Skills you'll gain: Google Cloud Platform, Data Pipelines, Dataflow, Data Lakes, Extract, Transform, Load, Real Time Data, Data Warehousing, Tensorflow, Data Processing, Data Infrastructure, MLOps (Machine Learning Operations), Cloud Storage, Big Data, Data Integration, Cloud Solutions, Data Transformation, Data Architecture, Unstructured Data, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
University of California San Diego
Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, PySpark, Data Processing, Distributed Computing, Performance Tuning, Scalability
In summary, here are 10 of our most popular hadoop+and+mapreduce courses
- Data Engineering, Big Data and ML on Google Cloud 日本語版: Google Cloud
- Data Engineering, Big Data and ML on Google Cloud en Español: Google Cloud
- Introduction to Big Data with Spark and Hadoop: IBM
- Scalable Machine Learning on Big Data using Apache Spark: IBM
- NoSQL, Big Data, and Spark Foundations: IBM
- Serverless Data Processing with Dataflow: Develop Pipelines: Google Cloud
- Perform data science with Azure Databricks: Microsoft
- Building Batch Data Pipelines on GCP 日本語版: Google Cloud
- ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
- Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud: Google Cloud