Filter by
The language used throughout the course, in both instruction and assessments.
Results for "data+parallelism"
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 Analysis Software, Data Architecture, Data Structures, Java Programming, Distributed Computing, Performance Tuning
University of Pennsylvania
Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Database Management, Data Visualization Software, Data Storage, Data Storage Technologies, Pandas (Python Package), Big Data, Data Science, Relational Databases, Data Manipulation, Data Cleansing, NumPy
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: Apache Kafka, Scala Programming, Apache Spark, Real Time Data, Apache Hadoop, Applied Machine Learning, Data Processing, Big Data, Apache Cassandra, Distributed Computing, Development Environment
In summary, here are 4 of our most popular data+parallelism courses
- Big Data Processing Using Hadoop: Johns Hopkins University
- Intro to Data Analytics, SQL, and EDA Using Python: University of Pennsylvania
- Apache Spark with Scala – Hands-On with Big Data!: Packt
- Streaming Big Data with Spark Streaming, Scala, and Spark 3!: Packt