Certificate in Apache Spark

Course details

Apache Spark is open source software from Apache foundation for performing analytics on big data or for large scale data processing tasks. Apache Spark supports multiple environments and can run as stand alone or in cloud. It also integrates with Hadoop and Kubernetes as well as supports multiple programming language including Java, Python, SQL, etc.

Note: Please note that the course comes with online e-learning (videos) only. No hard copy will be provided.

Why should one take this certification?
Apache Spark has become the topmost software to be used for big data or large data processing and has a huge demand for Apache Spark professionals in the industry. The Vskills Certificate in Apache Spark provides recognition to your Apache Spark skills and knowledge which helps you to stand higher amongst your peers

The course covers

• Fundamentals of Apache Spark
• Spark SQL and Dataframes
• Spark Streaming
• Machine Learning Application

Who will benefit from taking this certification?
The Vskills Certificate in Apache Spark is suitable for professionals, managers and students who are engaged or are interested in analytics or big data related career opportunities. The certification not only enhances and refreshes your Apache Spark skills bit also provide a certification validating it.
 
Benefits of Certification

• Government certification
• Certification valid for life
• Lifelong e-learning access
• Learning Hours: 42+ hrs

 
How It Works

1. Select Certification & Register
2. Receive Online e-Learning Access (LMS)
3. Take exam online anywhere, anytime
4. Get certified & Increase Employability

Test Details

• Duration: 60 minutes
• No. of questions: 50
• Maximum marks: 50, Passing marks: 25 (50%).
• There is NO negative marking in this module.
• Online exam.

 
 
TABLE OF CONTENT

Getting Started

• The Course Overview
• Setting Up an AWS Account
• Launching a Spark Cluster on EC2
• Setting Up Your Environment
• Running a Test Application

Working with RDDs

• Creating RDDs
• Actions
• Transformations
• Joins, Set, and Numeric Operations
• Shared Variables

DataFrames

• Installing Jupyter Notebook
• RDDs and DataFrames
• DataFrame Row Operations
• DataFrame Column Operations
• DataFrame Manipulation

Spark SQL

• Views
• Schemas
• SQL Operations
• I/O Options
• HIVE

Machine Learning Fundamentals

• Basic Statistics
• Pipelines
• Feature Extractors
• Feature Transformers
• Feature Selectors

Machine Learning Models

• Classification
• Regression
• Clustering
• Collaborative Filtering
• Model Selection and Tuning

Streaming

• DStreams
• DStream Window Operations
• Structured Streaming
• Window Operations
• Joining Batch and Streaming Data

Updated on 27 December, 2023