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Processing Big Data with MATLAB

The 'Processing Big Data with MATLAB' course by MathWorks equips data scientists and engineers with skills to analyze datasets too large for memory using tall arrays, datastores, and cloud integration. It solves the critical pain point of scaling algorithms beyond desktop limitations, addressing demand from over 80% of Fortune 500 engineering firms using MATLAB. Learners gain hands-on experience processing distributed data efficiently.

This course prepares for the MathWorks Certified MATLAB Professional certification, enhancing credibility and career growth. Koenig delivers official vendor-authorized courseware with 30-day lab access, ensuring mastery. Graduates can scale analyses to cloud environments, unlocking roles in advanced data engineering and computational science.

8 Hours (1 Days)
Live Online / Classroom
0+ professionals trained

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1-on-1 On Request
Dedicated instructor, your schedule
Available in all languages Fastest
Public Batch On Request
Group class, fixed schedule
Available in all languages Most Popular

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Course Overview

The Processing Big Data with MATLAB course by MathWorks is an intermediate-level, one-day training designed for data scientists, computational analysts, and engineering researchers who need to analyze datasets too large to fit in memory. This course prepares learners for advanced data processing workflows and supports preparation for MathWorks certification pathways involving data science and algorithm scaling. Participants will gain skills to adapt existing MATLAB algorithms for big data, with applications in industries such as automotive, finance, and aerospace—where 78% of engineering teams using MATLAB now report reliance on big data workflows for predictive modeling and system analysis. The curriculum is ideal for professionals seeking to bridge the gap between prototyping and scalable data processing.

Students engage with core MATLAB tools including datastores, tall arrays, Apache Parquet integration, AWS S3, Azure Blob Storage, and Spark clusters through hands-on labs conducted in the MATLAB desktop and cloud environments. A key lab component involves building a custom datastore to read specialized file formats and applying transformations to tall arrays for statistical analysis. Participants also configure connections to remote clusters and cloud platforms, simulating real-world scenarios such as scaling a predictive maintenance algorithm from a local dataset to terabytes of sensor data stored on AWS. These exercises emphasize code reusability and optimization, ensuring that algorithms developed on small samples can be seamlessly deployed on full-scale big data.

By completing the Processing Big Data with MATLAB course, learners are better positioned to pursue MathWorks certification in data science and computational programming, credentials increasingly recognized in engineering and scientific computing roles. Professionals with these skills report median salary increases of up to 20%, with data-savvy MATLAB engineers earning between $95,000 and $130,000 annually in North America. Koenig Solutions enhances this training with Guaranteed-to-Run scheduling, official MathWorks courseware, and access to expert instructors for 1-on-1 mentoring. Graduates emerge ready to lead big data initiatives, from optimizing industrial IoT pipelines to accelerating research analytics at scale.

What You'll Learn

✓Architect robust datastores to manage large-scale data repositories, optimizing data access and ingestion workflows within the MATLAB environment.
✓Engineer scalable data representations using tall arrays to perform out-of-memory analysis on massive datasets, leveraging the Parallel Computing Toolbox for memory-efficient processing.
✓Optimize computational algorithms for tall arrays to maximize processing throughput and resource utilization when executing complex analytics on large-scale data.
✓Execute custom data ingestion pipelines using specialized datastores to ensure seamless integration and compatibility with diverse, high-volume data sources.
✓Apply advanced transformations and reduction techniques to tall arrays, utilizing Parallel Computing Toolbox functions to perform efficient data manipulation and summarization.
✓Deploy high-performance big data workflows to cloud clusters using MATLAB Parallel Server, enabling scalable, distributed analysis for accelerated insights.

Skills You'll Gain

MATLAB Datastores Tall Arrays Apache Parquet MATLAB tall tables Cloud Data Processing MATLAB Parallel Server Hadoop Clusters Apache Spark Datastore Custom Functions Tall Array Transformations Tall Array Reductions Moving Window Operations Cluster Computing Cloud Cluster Setup Deferred Evaluation gather Function Big Data Visualization

Prerequisites

Recommended knowledge before taking this course
  • Processing Big Data with MATLAB
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What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

78%

of Processing Big Data with MATLAB certified professionals report career advancement within 6 months

Salary Impact

+22%

Average salary increase reported after obtaining the Processing Big Data with MATLAB certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Data Analyst
  • MATLAB Engineer
  • Data Scientist
  • Systems Engineer
  • Algorithm Engineer
  • Simulation Engineer

Companies Hiring

5,000+
MathWorks Databricks Domino Data Lab Google Microsoft Accenture Deloitte General Motors Lockheed Martin Novartis

and 5,000+ organizations worldwide seeking Processing Big Data with MATLAB certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

18,400+
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    Engineering Manager

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  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

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    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

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    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the Processing Big Data with MATLAB training course

Is the MathWorks Certified MATLAB Professional exam included in the Processing Big Data with MATLAB course, and what is the exam cost?
The certification exam is not included in the Processing Big Data with MATLAB course and requires a separate USD 400 purchase. MathWorks lists the Certified MATLAB Professional Exam fee at USD 400 for standard registration, with academic discounts available. Candidates must register directly through MathWorks or authorized platforms.
What training formats are available for Processing Big Data with MATLAB, and does Koenig offer Guaranteed-to-Run scheduling?
Koenig offers live online, 1-on-1, and classroom training for Processing Big Data with MATLAB, all featuring Guaranteed-to-Run scheduling. Public batches are confirmed to run regardless of enrollment, ensuring reliable access to expert-led instruction. Training is available in multiple languages and flexible time slots to accommodate global learners.
How long is lab access provided for the Processing Big Data with MATLAB course, and what environment is used?
Lab access is provided for 30 days via Koenig’s LET Platform using cloud-hosted virtual machines. These pre-configured environments for Processing Big Data with MATLAB allow hands-on practice with tall arrays and datastores without local hardware constraints. Labs support real-time coding, debugging, and cloud integration exercises essential for mastering big data workflows.
What is Koenig's rescheduling and cancellation policy for the Processing Big Data with MATLAB course?
Rescheduling is free with 10 days' notice; changes within 10 days incur a 50% fee. Cancellations made 15 days or more before the Processing Big Data with MATLAB start date qualify for a full refund. Each course can be rescheduled only once, and written notice is required. This policy applies uniformly across all Koenig training formats.
What is the format, duration, number of questions, and passing score for the MathWorks Certified MATLAB Professional exam?
The exam lasts 3.5 hours and includes 25 multiple-choice questions plus 8 performance-based problems requiring MATLAB coding. While MathWorks does not publicly disclose the exact passing score, both sections must meet minimum criteria for credit. The exam is administered at MathWorks-owned facilities with strict proctoring and no external resources allowed.
How long is the MathWorks Certified MATLAB Professional certification valid, and what is the renewal process?
The certification does not have a fixed expiration but may require passing a new or revised exam for renewal. MathWorks reserves the right to update certification requirements to reflect evolving technology standards. Certified professionals will be notified if recertification becomes necessary to maintain their credential validity after completing Processing Big Data with MATLAB.
What post-training support does Koenig provide after completing the Processing Big Data with MATLAB course?
Koenig provides 30 days of post-training support including mentor access, session recordings, lab access, and technical query resolution. Learners also receive exam preparation materials and guidance. A free retake is available under the Happiness Guarantee, ensuring continued learning and certification success beyond the initial Processing Big Data with MATLAB training period.
What are the prerequisites for enrolling in the Processing Big Data with MATLAB course?
The prerequisite is completion of the MATLAB for Data Processing and Visualization course. This foundational knowledge ensures learners can effectively work with data import, manipulation, and visualization techniques before advancing to big data concepts like tall arrays, datastores, and cloud integration. Prior MATLAB programming experience is strongly recommended for Processing Big Data with MATLAB.
How does the Processing Big Data with MATLAB course impact career advancement and salary potential?
Professionals with MathWorks certification report up to 25% higher salaries in data science and engineering roles. The Processing Big Data with MATLAB course enhances career readiness for positions like Data Scientist, where MATLAB is used by over 4 million engineers and scientists globally for big data analysis and modeling.
How does instructor-led training for Processing Big Data with MATLAB compare to self-study in terms of effectiveness and outcomes?
Instructor-led training provides structured learning, real-time feedback, and hands-on labs that significantly improve mastery over self-study. With expert guidance, learners achieve higher certification pass rates and faster skill acquisition. Koenig’s format for Processing Big Data with MATLAB includes mentorship, lab access, and exam prep—resources typically unavailable in self-paced study environments.

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