Apache Spark Classroom Training and Certification

Course Overview

  • Course Rating 4.6/5

Overview

This program is about Apache Spark .

Apache Spark is an analytics engine designed to distribute data across a cluster in order to process it in parallel. It contains modules for streaming, SQL, machine learning and graph processing.

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Apache Spark Fundamentals provides a comprehensive introduction to Apache Spark, covering its core concepts, architecture, and essential components, with hands-on labs to solidify learning..

Apache Spark corporate training and certification oriented remote program aims to upskill you with Data Processing, Distributed Computing, Spark Core, Spark SQL, DataFrame and Dataset API, RDD Operations, Basic Machine Learning with Spark MLlib

Currently due to Covid19 outbreak, the course is available remote and however it can also be accessed online via your nearby Prog360 centre based on local availability.

Course Prerequisites

• Basic understanding of data processing concepts • Familiarity with programming languages such as Python or Scala • Basic knowledge of SQL and database systems

Course Content

    1. Introduction to Apache Spark
      • Overview of Big Data processing
      • Introduction to Apache Spark
      • Key features and benefits of Spark
      • Use cases of Spark in the industry
    2. Spark Architecture and Components
      • Spark ecosystem overview
      • Understanding Spark architecture
      • Components: Spark Core, Spark SQL, Spark Streaming, MLlib, GraphX
      • Spark cluster mode: Standalone, YARN, and Mesos
    3. Resilient Distributed Datasets (RDDs)
      • Introduction to RDDs
      • Creating RDDs
      • RDD operations: Transformations and Actions
      • Persistence and caching
    4. Working with DataFrames and Datasets
      • Introduction to DataFrames and Datasets
      • Differences between RDDs, DataFrames, and Datasets
      • Creating DataFrames and Datasets
      • Performing operations on DataFrames and Datasets
    5. Spark SQL and DataFrame API
      • Introduction to Spark SQL
      • Using the DataFrame API
      • SQL queries with Spark
      • Aggregations, joins, and other SQL operations
    6. Basic Machine Learning with Spark MLlib
      • Introduction to Spark MLlib
      • Overview of machine learning algorithms in MLlib
      • Building and evaluating machine learning models
      • Simple examples of classification, regression, and clustering
    7. Spark Streaming Basics
      • Introduction to Spark Streaming
      • Processing real-time data with Spark Streaming
      • Basic operations with DStreams
      • Simple examples of streaming applications
    8. Hands-On Project
      • Building a complete data processing pipeline
      • Integrating Spark SQL and MLlib
      • Processing and analyzing a large dataset
      • Performance tuning and optimization
    9. Summary and Conclusion
      • Recap of key concepts
      • Q&A session
      • Next steps and additional resources

    Hands-On Labs: 60% of the training will involve practical exercises and case study

    Materials: Participants will receive course materials, code samples, and resources for further learning.

    Certificate of Completion: Participants who attend all sessions and successfully complete the course assessments will receive a Prog360 Certificate of Completion for the Training Program.

Apache Spark Fundamentals Certifications

Apache Spark Fundamentals course delivery involves case studies, examples, discussions and exercises to enhance the learning experience.
At the end of the training the participants will be awarded Course Completion Certificates on Apache Spark Fundamentals.

Post Course Evaluation

You may chose to enroll for a post course evaluation to analyse your knowledge metrics. The post course evaluation would cover the topics related to the training delivered over the period of the complete session, like:

    • Introduction to Apache Spark
    • Spark Architecture and Components
    • RDDs, DataFrames, and Datasets
    • Spark SQL and DataFrame API
    • Spark MLlib Basics
The topic listed above are only to give you a general idea and the post training evaluation may or may not restrict to these topics. Post successful evaluation attempt the participants would be awarded Evaluation Certificates on Apache Spark. Upon Completion of this Course you will accomplish following:
    • Understanding the core concepts of Apache Spark
    • Ability to build and run Spark applications
    • Knowledge of Spark's ecosystem and components
    • Proficiency in processing large datasets with Spark

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Upcoming Sessions Near You

City
Start Date
End Date
Apply
Bengaluru, India
26-Dec-2024
27-Dec-2024
New Delhi, India
26-Dec-2024
27-Dec-2024
Mumbai, India
26-Dec-2024
27-Dec-2024
Pune, India
26-Dec-2024
27-Dec-2024
Pune, India
12-Jan-2025
13-Jan-2025
Mumbai, India
12-Jan-2025
13-Jan-2025
New Delhi, India
12-Jan-2025
13-Jan-2025
Bengaluru, India
12-Jan-2025
13-Jan-2025
Pune, India
25-Jan-2025
26-Jan-2025
Mumbai, India
25-Jan-2025
26-Jan-2025
New Delhi, India
25-Jan-2025
26-Jan-2025
Bengaluru, India
25-Jan-2025
26-Jan-2025
Pune, India
11-Feb-2025
12-Feb-2025
Mumbai, India
11-Feb-2025
12-Feb-2025
New Delhi, India
11-Feb-2025
12-Feb-2025
Bengaluru, India
11-Feb-2025
12-Feb-2025
Pune, India
24-Feb-2025
25-Feb-2025
Bengaluru, India
24-Feb-2025
25-Feb-2025
New Delhi, India
24-Feb-2025
25-Feb-2025
Mumbai, India
24-Feb-2025
25-Feb-2025

Apache Spark Fundamentals Corporate Training

Corporate Training

Prog360 offers on-demand corporate learning and development solutions around Apache Spark that can be delivered both onsite and remote (based on availability). With Prog360, you can train your employees with our 360 Approach which not only enhance professional skills but also improvise inter-personal development. Please feel free to inquire further. We are open to discuss your requirement to provide you more customized solution specific to your needs. We will evaluate the skillset, analyze the business requirement and post that provide customized training solutions as per your business needs. Our corporate team for Apache Spark training is based across the globe hence you can reach us nearby your region as well. For general training inquiries you can contact us at training@prog360.com.

Apache Spark Fundamentals Consultation

Consultation

If you have already up-skilled your team and have started implementing Apache Spark, but are still facing challenges, Prog360 can still help you. Our SMEs can get on a call with you to understand the situation and provide you a plan involving the next steps covering both audit and implementation based on your problem statement. Our corporate team for Apache Spark consultation is based across the globe hence you can reach us nearby your region as well. For general consultation inquiries you can contact us at consult@prog360.com . For more nearby inquiries you can reach your nearby team.

South East Asia and Oceania

Oceania: Melbourne, Australia: 152 Elizabeth St,Melbourne,VIC,Melbourne,

Corporate Training: training.au@prog360.com

Consulting Services: consult.au@prog360.com

South East Asia: Singapore: 5, Temasek Boulevard, Singapore, Central Region, 03898, Singapore

Corporate Training: training.sg@prog360.com

Consulting Services: consult.sg@prog360.com

Contact Number :- +61 3 9015 4952

South Asia and Middle East

South Asia: Bengaluru, India: No. 78, Next to KR Puram Tin Factory, Old Madras Road, Bangalore – Mahadevapura, Bengaluru, Karnataka, 560016

Corporate Training: training.southasia@prog360.com

Consulting Services: consult.southasia@prog360.com

Middle East:- Dubai, UAE: The Offices 4, One Central Dubai World Trade Center, Dubai, Dubai, 00000, UAE

Corporate Training: training.ae@prog360.com

Consulting Services: consult.ae@prog360.com

Contact Number :- +91 9810 643 989

For any Queries

Testimonials & Reviews

The Apache Spark course was excellent, offering comprehensive coverage of Spark and its real-world applications.
Sophia White
Excellent Apache Spark Training
Comprehensive course on Apache Spark. The content was well-structured, and the hands-on labs were very beneficial.
Lucas Davis
Comprehensive Spark Course
Engaging training on Apache Spark, with practical examples that made the concepts easy to understand and apply.
Emma Martinez
Engaging Spark Training
Practical course on Apache Spark with a focus on real-world applications. The hands-on labs were particularly useful.
Mason Harris
Practical Spark Course
Effective training on Apache Spark with a strong emphasis on practical implementation. The course content was up-to-date and relevant.
Ava Johnson
Effective Spark Training
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