36 Hrs
2346+ Enrollments
Apache Spark Training
Apache Spark is a powerful and widely used big data processing tool, and this course offers a comprehensive understanding of its key concepts and practical applications. The course is designed for professionals looking to enhance their big data processing skills, data analysts and scientists, and software developers seeking to learn Spark programming.
36 Hrs
2346+ Enrollments
Apache Spark Training
Apache Spark
Overview of Course
This Apache Spark training course is designed to provide learners with an in-depth understanding of Apache Spark, a big data processing tool. The course covers the fundamentals of distributed computing, Spark architecture, and the key concepts of Spark RDDs (Resilient Distributed Datasets) and Spark SQL.
Course Highlights
Industry-relevant curriculum with practical examples
Expert-led training with customized learning paths
Flexibility to learn at your own pace with self-paced modules
Key Differentiators
Personalized Learning with Custom Curriculum
Training curriculum to meet the unique needs of each individual
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Flexible Schedule & Delivery
Choose between virtual/offline with Weekend options
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Real-world Projects
We work with experts to curate real business scenarios as training projects
Skills You’ll Learn
#1
Understanding of distributed computing and Spark architecture
#2
Proficiency in Spark programming using RDDs and Spark SQL
#3
Expertise in building and deploying Spark applications
#4
Knowledge of Spark streaming, machine learning, and graph processing
Training Options
1-on-1 Training
On Request
Access to live online classes- Flexible schedule including weekends
- Hands-on exercises with virtual labs
- Session recordings and learning courseware included
- 24X7 learner support and assistance
- Book a free demo before you commit!
Corporate Training
On Request
- Everything in 1-on-1 Training plus
- Custom Curriculum
- Extended access to virtual labs
- Detailed reporting of every candidate
- Projects and assessments
- Consulting Support
- Training aligned to business outcomes
For Corporates
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- Improve employee morale, job satisfaction, and retention rates.
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- Obtain long-term organizational growth and success.
Course Reviews
Curriculum
- Introduction to Big Data
- Challenges with Big Data
- Batch Vs. Real Time Big Data Analytics
- Batch Analytics – Hadoop Ecosystem Overview
- Real Time Analytics Options
- Streaming Data – Storm
- In Memory Data – Spark
- What is Spark?
- Modes of Spark
- Spark Installation Demo
- Overview of Spark on a cluster
- Spark Standalone Cluster
- Invoking Spark Shell
- Creating the Spark Context
- Loading a File in Shell
- Performing Some Basic Operations on Files in Spark Shell
- Building a Spark Project with sbt
- Running Spark Project with sbt
- Caching Overview
- Distributed Persistence
- Spark Streaming Overview
- Example: Streaming Word Count
- RDDs
- Spark Transformations in RDD
- Actions in RDD
- Loading Data in RDD
- Saving Data through RDD
- Spark Key-Value Pair RDD
- Map Reduce and Pair RDD Operations in Spark
- Scala and Hadoop Integration Hands on
- Why Shark?
- Installing Shark
- Running Shark
- Loading of Data
- Hive Queries through Spark
- Testing Tips in Scala
- Performance Tuning Tips in Spark
- Shared Variables: Broadcast Variables
- Shared Variables: Accumulators
Contact Learning Advisor
Meet the instructor and learn about the course content and teaching style.- Make informed decisions about whether to enroll in the course or not.
- Get a perspective with a glimpse of what the learning process entails.
Description
Target Audience:
- Data analysts and scientists
- Software developers
- Big Data professionals
- IT professionals seeking to learn Spark
Prerequisite:
- Knowledge of programming languages such as Java, Python, or Scala
- Familiarity with SQL
- Basic understanding of Big Data concepts
Benefits of the course:
- Comprehensive understanding of Apache Spark and its practical applications
- Hands-on experience in building and deploying Spark applications
- Industry-relevant curriculum with practical examples
- Expert-led training with customized learning paths
- Flexibility to learn at your own pace with self-paced modules
Exam details to pass the course:
- There is no exam to pass the Apache Spark training course.
- Learners will receive a certificate of completion upon finishing the course.
Certification path:
- Cloudera Certified Spark and Hadoop Developer
- Databricks Certified Associate Developer for Apache Spark
Career options:
- Big Data Developer
- Data Analyst
- Data Scientist
- Hadoop Developer
- Spark Developer
Why should you take this course from Skillzcafe:
Why should you take this course from Skillzcafe:
Industry experts as trainers with years of experience in Big Data and Spark- Self-paced learning with 24x7 access to course material
- Real-life examples and use cases
- Interactive sessions with trainers and peers
- Affordable pricing with flexible payment options
FAQs
Yes, learners are required to have prior programming experience in languages such as Java, Python, or Scala.
While some prior programming experience is necessary, this course is designed to provide learners with a comprehensive understanding of Apache Spark, even if they are relatively new to the field.
Learners will have the opportunity to work on real-life projects and assignments, giving them hands-on experience in building and deploying Spark applications.
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