Enroll for our 4-day Cloudera Data Scientist training from Koenig Solutions accredited by Cloudera. In this course you will learn enterprise data science and machine learning using Apache Spark in Cloudera Data Science Workbench (CDSW).
Through a blend of hands-on labs and interactive lectures, you will learn to use Spark SQL to load, explore, cleanse, join, and analyze data and Spark MLlib to specify, train, evaluate, tune, and deploy machine learning pipelines. They dive into the foundations of the Spark architecture and execution model necessary to effectively configure, monitor, and tune their Spark applications. Participants also learn how Spark integrates with key components of the Cloudera platform such as HDFS, YARN, Hive, Impala, and Hue as well as their favorite Python or R packages.
Target Audience:
This course is intended for Data scientists, Data engineers, data analysts, developers, and solution architects
Learning Objectives:
After completing this course, you will be able to:
This is a Rare Course and it can be take up to 3 weeks to arrange the training.
Live Online Training (Duration : 32 Hours) Fee On Request | |||
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Physical Classroom Training with 4 hours /8 hours option is available. Enquire Now!
Ultra-Fast Track
If you can't spare 32 hours. We can offer you an Ultra-Fast Track for 16 hours
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Participants should have a basic understanding of Python or R and some experience exploring and analyzing data and developing statistical or machine learning models. Knowledge of Hadoop or Spark is not required.
We offer below courses: Microsoft Azure AI Fundamentals - AI-900T00-A DP-100T01: Designing and Implementing a Data Science Solution on Azure - Uipath: RPA Design and Development v3 - AI Fundamentals, designing and implementing Azure Solution Data Science and Big Data Analytics v2 - 40559: Microsoft Cloud Workshop: MLOps -