Spark Fundamentals I Spark Fundamentals I

Spark Fundamentals I

Spark Fundamentals I

Course Provider

Spark Fundamentals I

Course Highlights:

  • Ignite your interest in Apache Spark with an introduction to the core concepts that make this general processor an essential tool set for working with Big Data.
  • Get hands-on experience with Spark in our lab exercises, hosted in the cloud.
  • Learn about Spark:
    • How it performs at speeds up to 100 times faster than Map Reduce for iterative algorithms or interactive data mining.
    • How it provides in-memory cluster computing for lightning-fast speed and supports Java, Python, R, and Scala APIs for ease of development.
    • How it can handle a wide range of data processing scenarios by combining SQL, streaming and complex analytics together seamlessly in the same application.
    • How it runs on top of Hadoop, Mesos, standalone, or in the cloud. It can access diverse data sources such as HDFS, Cassandra, HBase, or S3.
  • Certificate by SkillUp on course completion

What will you learn in Spark Fundamentals I course?

In this course, you will learn about:

  • The purpose of Spark and understand why and when you would use Spark
  • How to list and describe the components of the Spark unified stack
  • The basics of the Resilient Distributed Dataset, Spark's primary data abstraction
  • How to download and install Spark standalone
  • An overview of Scala and Python.

Spark Fundamentals I

  • domain-icon Domain
    Web & Mobile Development
  • course-category-icon Course Category
    Popular Tech Topics
  • certified-earned-icon Certificate Earned Partner Completion certificate
    • cost-white-icon Course Price
      INR 2,999
      + 18% GST
    • duration-white-icon Course Duration
      5 Hours
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Why you should take Spark Fundamentals I course?

  • Learn the fundamentals of Spark, the technology that is revolutionizing the analytics and big data world!
  • Spark is an open-source processing engine built around speed, ease of use, and analytics. If you have large amounts of data that require low latency processing that a typical MapReduce program cannot provide, Spark is the way to go.

Who should take Spark Fundamentals I course?

This course is designed for those who want to leverage the revolutionary abilities of Spark in Big Data processing and analytics with low latency processing that a typical MapReduce program cannot provide

Curriculum

  • Module 1 - Introduction to Spark - Getting starte
    • What is Spark and what is its purpose?
    • Components of the Spark unified stack
    • Resilient Distributed Dataset (RDD)
    • Downloading and installing Spark standalone
    • Scala and Python overview
    • Launching and using Spark’s Scala and Python shell ©
  • Module 2 –Resilient Distributed Dataset and DataFrames
    • Understand how to create parallelized collections and external datasets
    • Work with Resilient Distributed Dataset (RDD) operations
    • Utilize shared variables and key-value pairs
    • Describe how data is stored in an HDFS cluster
  • Module 3 – Spark application programming
    • Understand the purpose and usage of the SparkContext
    • Initialize Spark with the various programming languages
    • Describe and run some Spark examples
    • Pass functions to Spark
    • Create and run a Spark standalone application
    • Submit applications to the cluster
  • Module 4 – Introduction to Spark libraries
    • Understand and use the various Spark libraries
  • Module 5 -Spark configuration, monitoring and tuning
    • Understand components of the Spark cluster
    • Configure Spark to modify the Spark properties, environmental variables, or logging properties
    • Monitor Spark using the web UIs, metrics, and external instrumentation
    • Understand performance tuning considerations
  • Final Exam

Tools you will learn in Spark Fundamentals I course

  • Scala
  • Python shell

FAQs

Apache Spark is a data processing framework that is able to process large datasets quickly and accurately. It can distribute these processing tasks across many computers as well, which makes it an important tool for processing big data and developing machine learning. In addition, it has an API that is easy to use and can reduce the burden on developers. 

After completing this course, you will be able to: 
•    Perform fast iterative algorithms. 
•    Carry out interactive data mining. 
•    Perform in-memory cluster computing. 
•    Support Java, Python, R, and Scala APIs for development. 
•    Combine SQL, streaming, and complex analytics in the same application. 
•    Run Spark applications on top of Hadoop, Mesos, standalone, or in the cloud. 
•    Work with HDFS, Cassandra, HBase, or S3.

As soon as you enroll for this course, you will have access to all the information and materials in your dashboard. 

It is recommended that you have a basic understanding of Apache Hadoop and big data. It is also beneficial to have a basic knowledge of Linux, and basic skills in using Scala, Python, and Java. 

This course is run by our partner SkillUp Online. It is 100% online, and you do not need to attend any classes in person. You simply require adequate access to the internet and the required technology to be able to use the course materials, which come in the form of articles, videos, and knowledge checks. Plus, you will be able to connect easily with others on the course and your mentors through the discussion space

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