Training Cloudera

Training goals dlearning

code: CL-DST

This four-day workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges.

The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful.

Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment.

Participants gain practical skills and hands-on experience with data science tools including:

  • Spark, Spark SQL, and Spark MLlib
  • PySpark and sparklyr
  • Cloudera Data Science Workbench (CDSW)
  • Hue

Conspect Show list

  1. The workshop includes brief lectures, interactive demonstrations, hands-on exercises, and discussions covering topics including:
    • Overview of data science and machine learning at scale
    • Overview of the Hadoop ecosystem
    • Working with HDFS data and Hive tables using Hue
    • Introduction to Cloudera Data Science Workbench
    • Overview of Apache Spark 2
    • Reading and writing data
    • Inspecting data quality
    • Cleansing and transforming data
    • Summarizing and grouping data
    • Combining, splitting, and reshaping data
    • Exploring data
    • Configuring, monitoring, and troubleshooting Spark applications
    • Overview of machine learning in Spark MLlib
    • Extracting, transforming, and selecting features
    • Building and evaluating regression models
    • Building and evaluating classification models
    • Building and evaluating clustering models
    • Cross-validating models and tuning hyperparameters
    • Building machine learning pipelines
    • Deploying machine learning models
Download conspect training as PDF

Additional information

Requirements

Workshop 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.

Difficulty level
Duration 4 days
Certificate

The participants will obtain certificates signed by Cloudera.

Trainer

Certified Cloudera Instructor.

Cloudera show more courses
Training thematically related

Programming

Big Data

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2180 EUR

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FORM OF TRAINING ?

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Traditional training

Sessions organised at Compendium CE are usually held in our locations in Kraków and Warsaw, but also in venues designated by the client. The group participating in training meets at a specific place and specific time with a coach and actively participates in laboratory sessions.

Dlearning training

You may participate from at any place in the world. It is sufficient to have a computer (or, actually a tablet, or smartphone) connected to the Internet. Compendium CE provides each Distance Learning training participant with adequate software enabling connection to the Data Center. For more information, please visit dlearning.eu site

TRAINING MATERIALS ?

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Electronic materials

Electronic Materials: These are electronic training materials that are available to you based on your specific application: Skillpipe, eVantage, etc., or as PDF documents.

Ctab materials

Ctab materials: the price includes ctab tablet and electronic training materials or traditional training materials and supplies provided electronically according to manufacturer's specifications (in PDF or EPUB form). The materials provided are adapted for display on ctab tablets. For more information, check out the ctab website.

 

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    • General information
    • Guaranteed dates
    • Last minute (-10%)
    • Language of the training
    • English
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