Big Data Hadoop Spark Developer
Instructor-led training in Big Data Hadoop Spark Developer. Delivered live online by senior practitioners, with hands-on labs and a final assessment. Includes an Skilvi course-completion certificate.
Overview
In the Big Data Hadoop Spark Developer course, you will delve into the fundamental concepts and tools of big data processing using Hadoop and Spark. This course is essential for professionals seeking to harness the power of big data technologies to extract valuable insights and drive data-informed decision-making.
What you'll learn
- You will be able to understand and explain the core concepts of Hadoop and Spark.
- You will be able to set up and configure a Hadoop cluster.
- You will be able to write and optimize MapReduce jobs.
- You will be able to perform data processing and analysis using Spark RDDs and DataFrames.
- You will be able to implement machine learning algorithms using Spark MLlib.
- You will be able to utilize Spark Streaming for real-time data processing.
- You will be able to integrate Hadoop with other big data technologies.
- You will be able to troubleshoot and optimize performance in Hadoop and Spark applications.
Curriculum
7 modules · outline is indicative and can be tailored to your team.
1Introduction to Big Data
- Understanding Big Data and its Importance
- Overview of Hadoop Ecosystem
- Key Concepts of Distributed Computing
2Hadoop Fundamentals
- Setting Up a Hadoop Cluster
- HDFS Architecture and Operations
- Data Ingestion with Hadoop
3MapReduce Programming
- Understanding MapReduce Framework
- Writing MapReduce Jobs
- Debugging and Optimizing MapReduce Applications
4Apache Spark Basics
- Introduction to Spark and its Components
- Working with RDDs and DataFrames
- Data Processing with Spark SQL
5Machine Learning with Spark
- Introduction to Spark MLlib
- Implementing Machine Learning Algorithms
- Model Evaluation and Tuning
6Real-Time Data Processing
- Introduction to Spark Streaming
- Processing Streaming Data
- Integrating Streaming with Batch Processing
7Performance Tuning and Best Practices
- Performance Tuning for Hadoop
- Optimizing Spark Applications
- Best Practices for Big Data Projects
Prerequisites
No prior experience required.
Who should attend
This course is ideal for data analysts, data engineers, and software developers looking to enhance their skills in big data technologies.
Certification
Frequently asked questions
What is the delivery format of the course?
The course is delivered through live-online instructor-led sessions.
How long is the course?
The course duration is typically 4 weeks, with sessions held twice a week.
Will I receive a certificate upon completion?
Yes, you will receive an Skilvi course-completion certificate after finishing the course.
Are exam vouchers included?
Exam vouchers are available through authorized channels on request.
Do I need any prior experience to enroll?
No prior experience is required to take this course.
Pricing on request
- Live online (VILT)
- 24–32 hours
- Hands-on labs & assignments
- Skilvi completion certificate
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