Cloudera Developer for Spark and Hadoop Training in Finland

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 4 Days
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

This hands-on training course delivers the key concepts and expertise participants need to ingest and process data on a Hadoop cluster using the most up-to-date tools and techniques. Employing Hadoop ecosystem projects such as Spark (including Spark Streaming and Spark SQL), Flume, Kafka, and Sqoop, this training course is the best preparation for the real-world challenges faced by Hadoop developers. With Spark, developers can write sophisticated parallel applications to execute faster decisions, better decisions, and interactive actions, applied to a wide variety of use cases, architectures, and industries.

There are no prerequisites for this course.

  • This course is designed for developers and engineers who have programming experience, but prior knowledge of Hadoop is not required
  • Apache Spark examples and hands-on exercises are presented in Scala and Python. The ability to program in one of those languages is required
  • Basic familiarity with the Linux command line is assumed
  • Basic knowledge of SQL is helpful

  • Through expert-led discussion and interactive, hands-on exercises, participants will learn how to:
  • Distribute, store, and process data in a Hadoop cluster
  • Write, configure, and deploy Apache Spark applications on a Hadoop cluster
  • Use the Spark shell for interactive data analysis
  • Process and query structured data using Spark SQL
  • Use Spark Streaming to process a live data stream
  • Use Flume and Kafka to ingest data for Spark Streaming

Introduction

Introduction to Apache Hadoop and the Hadoop Ecosystem

  • Apache Hadoop Overview
  • Data Storage and Ingest
  • Data Processing
  • Data Analysis and Exploration
  • Other Ecosystem Tools
  • Introduction to the Hands-On Exercises
  • Apache Hadoop File Storage
  • Problems with Traditional

Large-Scale Systems

  • HDFS Architecture
  • Using HDFS
  • Apache Hadoop File Formats

Data Processing on an Apache Hadoop Cluster

  • YARN Architecture
  • Working With YARN

Importing Relational Data with Apache Sqoop

  • Apache Sqoop Overview
  • Importing Data
  • Importing File Options
  • Exporting Data

Apache Spark Basics

  • What is Apache Spark?
  • Using the Spark Shell
  • RDDs (Resilient Distributed Datasets)
  • Functional Programming in Spark

Working with RDDs

  • Creating RDDs
  • Other General RDD Operations

Aggregating Data with Pair RDDs

  • Key-Value Pair RDDs
  • Map-Reduce
  • Other Pair RDD Operations

Writing and Running Apache Spark Applications

  • Spark Applications vs. Spark Shell
  • Creating the SparkContext
  • Building a Spark Application

(Scala and Java)

  • Running a Spark Application
  • The Spark Application Web UI

Configuring Apache Spark Applications

  • Configuring Spark Properties
  • Logging

Parallel Processing in Apache Spark

  • Review: Apache Spark on a Cluster
  • RDD Partitions
  • Partitioning of File-Based RDDs
  • HDFS and Data Locality
  • Executing Parallel Operations
  • Stages and Tasks

RDD Persistence

  • RDD Lineage
  • RDD Persistence Overview
  • Distributed Persistence

Common Patterns in Apache Spark

Data Processing

  • Common Apache Spark Use Cases
  • Iterative Algorithms in Apache Spark
  • Machine Learning
  • Example: k-means

DataFrames and Spark SQL

  • Apache Spark SQL and the SQL Context
  • Creating DataFrames
  • Transforming and Querying DataFrames
  • Saving DataFrames
  • DataFrames and RDDs
  • Comparing Apache Spark SQL, Impala, and Hive-on-Spark
  • Apache Spark SQL in Spark 2.x

Message Processing with Apache Kafka

  • What is Apache Kafka?
  • Apache Kafka Overview
  • Scaling Apache Kafka
  • Apache Kafka Cluster Architecture
  • Apache Kafka Command Line Tools

Capturing Data with Apache Flume

  • What is Apache Flume?
  • Basic Flume Architecture
  • Flume Sources
  • Flume Sinks
  • Flume Channels
  • Flume Configuration

Integrating Apache Flume and Apache Kafka

  • Overview
  • Use Cases
  • Configuration

Apache Spark Streaming:

Introduction to DStreams

  • Apache Spark Streaming Overview
  • Example: Streaming Request Count
  • DStreams
  • Developing Streaming Applications

Apache Spark Streaming:

Processing Multiple Batches

  • Multi-Batch Operations
  • Time Slicing
  • State Operations
  • Sliding Window Operations

Apache Spark Streaming: Data Sources

  • Streaming Data Source Overview
  • Apache Flume and Apache Kafka

Data Sources

  • Example: Using a Kafka Direct Data Source

Conclusion

Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Finland facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

17 tammikuuta 2025 (4 Days)
Helsinki, Espoo
Classroom / Virtual Classroom
17 tammikuuta 2025 (4 Days)
Helsinki, Espoo
Classroom / Virtual Classroom
09 helmikuuta 2025 (4 Days)
Helsinki, Espoo
Classroom / Virtual Classroom
17 tammikuuta 2025 (4 Days)
Helsinki, Espoo
Classroom / Virtual Classroom
17 tammikuuta 2025 (4 Days)
Helsinki, Espoo
Classroom / Virtual Classroom
09 helmikuuta 2025 (4 Days)
Helsinki, Espoo
Classroom / Virtual Classroom
03 maaliskuuta 2025 (4 Days)
Helsinki, Espoo
Classroom / Virtual Classroom
07 maaliskuuta 2025 (4 Days)
Helsinki, Espoo
Classroom / Virtual Classroom
Cloudera Developer for Spark and Hadoop Training Course in Finland

Finland is a country located in northern Europe. Helsinki is the capital and largest city of the country. The majority of the people are Finns but there is also a small Lapp population in Lapland, where the country is famous for the Northern Lights. Finland's national languages are Finnish and Swedish.

Known for its vast forests, lakes, and natural beauty, Finland is one of the world's largest producers of forest products, such as paper, pulp, and lumber. One of the world's largest sea fortresses Suomenlinna, Rovaniemi with the "White Nights", dogsled safaris and of course the Northern Lights are what makes Finland so popular for tourists. Finland is one of the best places in the world to see the Northern Lights and attracts millions of tourists during its seasons.

Finland is home to a thriving technology industry and is widely recognized as one of the world's leading technology hubs. Companies such as Nokia and Rovio (creator of the popular game Angry Birds) are based in Finland. Some of the key factors that have contributed to Finland's success in technology include; strong investment in research and development, a highly educated workforce and fundings.

Finland has a strong educational system, and is widely regarded as one of the world's most literate countries. In fact, Finland's literacy rate is one of the highest in the world, and its students consistently perform well in international tests of math and reading ability.

Also, as a pioneer in environmental sustainability, Finland is known for its efforts to reduce its carbon footprint and promote clean energy. This Nordic country is also famous for its unique and distinctive cultural heritage, including its traditional folk music and its elaborate traditional costumes.

Helsinki, Finland's capital city, is the country's business center. Helsinki is Finland's largest city, and it is home to many of the country's major corporations and organizations, including many of the country's leading technology firms. The city is also a commercial, trade, and financial center, as well as one of the busiest ports in the Nordic region.

Take advantage of our diverse IT course offerings, spanning programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Our knowledgeable instructors will provide you with practical training and industry insights, delivered directly to your chosen venue in Finland.

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