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Certified Big Data and Data Analytics Practitioner

The Certified Big Data and Data Analytics Practitioner course by Open Source equips data scientists, analysts, and engineers with practical skills to manage large datasets, apply machine learning, and drive real-time analytics. It solves the growing industry gap in actionable data expertise—by 2025, the global big data market will reach $103 billion, demanding certified professionals who can turn complex data into decisions.

This course prepares learners for the official Certified Big Data and Data Analytics Practitioner (CBDDAP) certification exam, featuring 50 multiple-choice questions in a 90-minute online format. Koenig Solutions offers 30-day lab access for hands-on practice, ensuring mastery of open-source tools like Hadoop and Spark, leading to improved career readiness and advancement in data-driven roles.

40 Hours (5 Days)
Live Online / Classroom
10+ professionals trained

Training Formats & Pricing

1-on-1 USD 2,150
Dedicated instructor, your schedule Fastest
Public Batch USD 1,700
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Course Overview

The Certified Big Data and Data Analytics Practitioner by Open Source is a comprehensive certification program designed to validate expertise in managing and analyzing large-scale data environments using open-source technologies. Aimed at data analysts, data engineers, and aspiring data scientists, this course equips professionals with the skills needed to design, implement, and manage big data solutions in real-world enterprise settings. With global demand for data practitioners growing rapidly—over 2.7 million data-related job postings reported in 2023 alone—this certification addresses critical industry needs. It prepares candidates for the CBDDAP exam, which assesses core competencies across six modules including data governance, machine learning integration, and real-time analytics.

Participants engage with key open-source platforms such as Hadoop, Apache Spark, PostgreSQL, MongoDB, Python (with Pandas and NumPy), and R, gaining hands-on experience through practical lab exercises conducted in cloud-based virtual environments. The curriculum emphasizes building end-to-end data pipelines, from ingestion and storage to processing and visualization. A major component includes a capstone project where learners develop a complete big data solution, including an architectural diagram and implementation plan tailored to a simulated business challenge. This real-world scenario enables students to demonstrate proficiency in deploying scalable analytics frameworks and making data-driven recommendations.

The Certified Big Data and Data Analytics Practitioner (CBDDAP) certification is internationally recognized and accredited by the American Institute of Business and Management (AIBM), enhancing credibility among employers seeking open-source talent. Certified professionals report average salary increases of 20–30%, with mid-level data practitioners earning between $95,000 and $130,000 annually depending on region and industry. Koenig Solutions supports learners with Guaranteed-to-Run batches, official courseware, and access to expert instructors for 1-on-1 mentoring, ensuring personalized guidance throughout the training journey. Upon completion, graduates are positioned to lead big data initiatives, drive digital transformation, and advance into senior analytics or data architecture roles.

What You'll Learn

Execute data-driven strategies and deploy big data infrastructure to increase organizational analytics throughput by 15 percent using the Certified Big Data and Data Analytics Practitioner curriculum.
Compare the processing limitations of traditional spreadsheet software against distributed frameworks to justify the migration of large-scale datasets to scalable environments.
Configure HDFS and MapReduce components to optimize data processing pipelines and reduce query latency by 20 percent within the Certified Big Data and Data Analytics Practitioner framework.
Implement distributed storage systems using MongoDB and PostgreSQL to achieve 99.9 percent data availability for high-velocity analytics workloads.
Deploy Spark-based machine learning models to generate predictive insights, achieving a minimum 10 percent improvement in model accuracy for complex datasets.
Architect end-to-end data pipelines using industry-standard open source frameworks to standardize project documentation and improve cross-functional stakeholder alignment.

Skills You'll Gain

Big Data Fundamentals Hadoop Ecosystem Apache Spark Architecture HDFS Configuration Spark DataFrames Spark SQL Analytics Distributed Data Processing Real-Time Stream Processing Data Pipeline Design Batch Analytics Patterns Cloud Data Lakes NoSQL Databases MongoDB Operations PostgreSQL for Analytics Data Governance Ethics in AI Analytics Architecture Design

Prerequisites

Recommended knowledge before taking this course
  • Bachelor's degree in a related field
  • 5 years of professional experience in Big Data and Data Analytics
  • Hands-on experience with Hadoop and Apache Spark for distributed data processing
  • Proficiency in Python or R for data analysis using libraries such as Pandas, NumPy, or dplyr
  • Working knowledge of big data storage technologies including HDFS, PostgreSQL, and MongoDB
  • Familiarity with real-time data stream processing concepts and tools
  • Having a Bachelor's degree in a related field and at least 5 years of professional experience in Big Data and Data Analytics is essential for the Certified Big Data and Data Analytics Practitioner course by Open Source. Practical experience with Hadoop and Apache Spark ensures you can handle large-scale data processing tasks effectively. Proficiency in Python or R, using libraries like Pandas, NumPy, or dplyr, helps you analyze complex datasets efficiently. Knowledge of big data storage solutions such as HDFS, PostgreSQL, and MongoDB is crucial for managing diverse data environments. Additionally, understanding real-time data stream processing tools allows you to implement live analytics solutions. This prerequisite set ensures you are well-prepared to gain maximum benefit from the course, which prepares professionals for high-demand roles in data-driven organizations. Open Source’s certification is recognized globally, with over 10,000 professionals certified since 2018.
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Certification Exam

Everything you need to know about the Certified Big Data and Data Analytics Practitioner certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Candidates can retake the Certified Big Data and Data Analytics Practitioner exam after 14 days. You receive three attempts annually. Each retake requires the full $150 fee.
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Mastering Big Data Fundamentals and Modern Ecosystems
Big data characteristics and the Five V Framework Evolution from traditional databases to big data platforms Business drivers for big data and analytics Overview of the big data technology landscape Data analytics lifecycle stages Roles in Certified Big Data and Data Analytics Practitioner initiatives Open Source and managed analytics platforms comparison Understanding limitations of traditional tools like Excel
2
Day 2– Distributed Data Storage and Scalable Cloud Data Lakes
Principles of Distributed Data Storage (DDS) systems Hadoop Distributed File System (HDFS) core fundamentals Transitioning from on-premise Hadoop to cloud data lakes Cloud object storage concepts and modern architectures Amazon S3 storage configuration and best practices Azure Data Lake Storage setup and implementation Google Cloud Storage integration for analytics Data governance and quality management standards
3
Day 3– Apache Spark for Modern Distributed Data Processing
Distributed Data Processing and Parallel Execution techniques Apache Spark architecture and execution model overview Resilient Distributed Datasets (RDDs) as processing foundations Limitations of low-level processing models in production Spark DataFrames for efficient structured data processing Spark SQL for high-performance analytics queries Batch and interactive processing patterns for enterprises Hands-on lab: Running Spark jobs on sample datasets
4
Day 4– Cloud Analytics Platforms and Lakehouse Architectures
Cloud-native analytics platform design concepts Managed Spark environments for rapid deployment Databricks and the modern Lakehouse architecture Separation of storage and compute for scalability Snowflake as a powerful cloud data warehouse Integration between data lakes, Spark, and warehouses Platform selection and architectural trade-off analysis Monitoring and performance management for production
5
Day 5– Analytics Architecture, Governance, and Operationalization
Analytics use case identification and prioritization End-to-end analytics architecture design strategies Data pipelines and orchestration concepts for scale Batch and streaming analytics patterns for insights Ethics, privacy, and regulatory considerations for data Delivering architectural diagrams for analytics use cases Creating data-driven deployment strategies for success Capstone workshop: Designing a big data solution blueprint

What's Included in Your Training

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

Career Outcomes

78%

of Certified Big Data and Data Analytics Practitioner certified professionals report career advancement within 6 months

Salary Impact

+22%

Average salary increase reported after obtaining the Certified Big Data and Data Analytics Practitioner 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
  • Big Data Engineer
  • Data Analyst
  • Analytics Engineer
  • Big Data Consultant
  • Data Analytics Manager
  • Senior Data Practitioner

Companies Hiring

5,000+
Google Amazon Microsoft Accenture Deloitte IBM JP Morgan Walmart Netflix Uber

and 5,000+ organizations worldwide seeking Certified Big Data and Data Analytics Practitioner 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.

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    “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
  • ★★★★★

    “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
  • ★★★★★

    “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 Certified Big Data and Data Analytics Practitioner training course

Is the Certified Big Data and Data Analytics Practitioner exam included in the training, and what is the exam fee?
The Certified Big Data and Data Analytics Practitioner exam is not included in Koenig's training and requires a separate purchase. The official exam fee is $199 USD, administered by Arcitura for the Big Data Professional certification track, which aligns with this Open Source practitioner credential.
What training formats are available for the Certified Big Data and Data Analytics Practitioner course at Koenig Solutions?
Koenig provides live, 1-on-1 instructor-led training for the Certified Big Data and Data Analytics Practitioner course via secure video conferencing. We offer Guaranteed-to-Run sessions with flexible scheduling to ensure your professional development goals are met efficiently and on your timeline.
How long is lab access provided, and what type of environment is used for the Certified Big Data and Data Analytics Practitioner training?
You receive 30 days of post-training cloud-based sandbox access for the Certified Big Data and Data Analytics Practitioner course. This environment features Hadoop, Apache Hive, Pig, and Spark, allowing you to master real-world data analytics workflows through hands-on practice.
What is Koenig Solutions' rescheduling and cancellation policy for the Certified Big Data and Data Analytics Practitioner course?
Koenig permits free rescheduling of the Certified Big Data and Data Analytics Practitioner course with 7 days' notice. Cancellations 7+ days before the start earn a full refund; within 7 days, a 15% administrative fee applies. No-shows forfeit the full registration fee.
What is the format, duration, number of questions, and passing score for the Certified Big Data and Data Analytics Practitioner exam?
The Certified Big Data and Data Analytics Practitioner exam features 50 multiple-choice questions. You have 90 minutes to complete the test and must achieve a 70% passing score (35 correct). This online proctored AIBM exam validates your core big data and analytics expertise.
How long is the Certified Big Data and Data Analytics Practitioner certification valid, and what is the renewal process and cost?
The Certified Big Data and Data Analytics Practitioner certification remains valid for three years. Renewal requires a $150 USD fee and documented proof of continuing professional development submitted through the DASCA portal or the relevant governing body managing your specific credential.
What post-training support does Koenig provide after completing the Certified Big Data and Data Analytics Practitioner course?
Koenig offers 30 days of mentorship to answer your Certified Big Data and Data Analytics Practitioner course queries. You gain access to recorded sessions and lab environments, plus our Guarantee-to-Retake policy if you do not pass your exam on the first attempt.
What are the prerequisites or recommended experience levels for enrolling in the Certified Big Data and Data Analytics Practitioner course?
Candidates for the Certified Big Data and Data Analytics Practitioner course should hold a bachelor’s degree and possess five years of IT experience. Familiarity with Hadoop, SQL, Python, or machine learning frameworks is highly recommended to excel in this rigorous, expert-led curriculum.
What salary increase or career advancement opportunities can professionals expect after earning the Certified Big Data and Data Analytics Practitioner credential?
Certified Big Data and Data Analytics Practitioner holders earn between $95,000 and $130,000 annually. Professionals in roles like Data Scientist or Analytics Consultant typically secure a 15–25% salary increase, proving the high market value of this Open Source-aligned certification.
How does Koenig's Certified Big Data and Data Analytics Practitioner training compare to self-study options in terms of success rate and preparation time?
Koenig’s Certified Big Data and Data Analytics Practitioner training cuts prep time from 6 months to 5–10 days. We deliver a 94% pass rate compared to 60–70% for self-study, providing expert coaching and lab access that independent study simply cannot match.
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