About Certified Data Engineer (CDE) DS2150

Think of a Certified Data Engineer (CDE) as the ultimate architect for the information age. This isn’t just about moving files; it’s a deep dive into how information is gathered, cleaned, and stored so it can actually be used. We focus on building "future-proof" setups, giving you the tools to create the data flows that modern businesses simply can’t survive without. Sprintzeal’s data engineer training provides a clear, step-by-step path to mastering the tech reshaping the world—like Spark, NoSQL, and cloud power. By connecting classroom lessons to real-world problems you’ll face every day, we make sure you start confident as an expert. Our IABAC-backed program ensures you’re ready to lead.

Certified Data Engineer (CDE) DS2150 Key Features 100% Satisfaction Guarantee

  • Official IABAC® Globally Recognized Credential
  • High-Performance Live Cloud Lab Access
  • Real-World Case Study Learning Approach
  • 1000+ Mock Exam Practice Questions
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Why is right now the best time to jump into a data engineer bootcamp?

In today’s market, a professional data engineer often earns significantly more than standard IT roles. Because these skills are so specific and hard to find, being certified can help you negotiate a paycheck that is often 40% higher than your peers.
The need for data experts is currently jumping by over 30% every single year. This has created a massive shortage of talent, making this the best data engineering course to choose if you want a career that stays strong regardless of economic shifts.
Data engineers are the ones making modern AI and machine learning possible. Mastering these skills will make you the person to take smart business decisions, making you the most valuable player on any team.

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Download Course Agenda And Company Brochure

Course Agenda

Course Agenda

Company Brochure

Company Brochure

This IABAC-backed data engineering course online is a deep look at how information actually moves through the real world. We don't just stick to the theory; we show you how to build the actual "plumbing" that keeps modern businesses running. In today’s landscape, companies are drowning in information but starving for structure. This program teaches you how to rescue that data. You will explore the entire data lifecycle, learning how to ingest massive datasets from various sources, stage them for processing, and ensure they are clean and reliable for the final user.

We focus heavily on the "Big Data" problem—volume, velocity, and variety. 

You’ll learn how to handle data and organize information that doesn't fit into a standard table. By the time you finish this data engineer training, you’ll be building systems that can handle millions of events per second. This is a perfect mix of basic knowledge with hands-on practice. This turns you into a real-world problem solver who knows how to keep the digital ecosystem alive.

 

Data Engineering Course Description  

Our database engineer training gives you a full view of the data landscape, moving far beyond simple SQL queries. We cover everything from traditional storage to the newest cloud-native systems that power the world's biggest apps. The curriculum is built to help you understand the shift from local servers to distributed systems where data lives across hundreds of machines simultaneously. You’ll learn how to bridge the gap between old-fashioned servers and the high-speed world of AWS and Azure, mastering the art of "Serverless" data movement.

The course dives deep into the "ETL" process—Extract, Transform, and Load. You’ll learn how to pull data from everywhere, change it into a useful format, and land it in a data warehouse or data lake. We also cover modern "ELT" strategies where the cloud does the heavy lifting. By the end, you’ll be comfortable managing huge amounts of data while making sure it stays safe, private, and follows all the latest global rules like GDPR. This is about becoming a versatile engineer who can walk into any tech stack and start building immediately.

The CDE program is built around these practical goals to ensure you are job-ready:

  • Architecting Success:
    Learn to design and create data structures that don't fail even when millions of people are using the system at once.
  • Storage Mastery:
    Become a pro with traditional SQL and get comfortable with the latest NoSQL systems like MongoDB and Cassandra.
  • Seamless Flow:
    Master the art of automation. You’ll set up systems that move data by themselves, catching and fixing errors before anyone even notices.
  • Big Data Power:
    Get hands-on with the heavy hitters of the industry, including Hadoop for storage and Spark for lightning-fast processing.
  • Data Protection:
    Learn the "Zero Trust" approach to data. We’ll show you how to keep sensitive information safe from leaks and cyber threats.
  • Cloud Readiness:
    Build your projects on the platforms companies use most, from Amazon Web Services to Microsoft Azure and Google Cloud.

 

When you finish this training, you’re getting much more than a certificate. You gain the "muscle memory" of a seasoned pro. You’ll be able to:

  • Build your own data pipelines from the ground up using Python and Scala.
  • Set up "data lakes" that stay organized and easy to search, avoiding the "data swamp" problem.
  • Automate your daily work so things run perfectly 24/7 without you having to stay up all night.
  • Manage data in real-time as it’s happening—perfect for things like fraud detection or live social media feeds.
  • Ensure every bit of information is high-quality, trustworthy, and ready for a data scientist to use for AI models.

 

The world is wide open for data experts. From big banks and local hospitals to online shops and streaming giants, everyone is searching for people who can handle their data infrastructure. A professional data engineer is often the most critical hire in a tech team because, without the data pipeline, the AI and Analytics teams have nothing to work with.

After this course, you’ll be ready for high-level roles such as:

  • Big Data Engineer: Building massive systems that store petabytes of info.
  • Data Architect: Designing the blueprint for how a company handles all its information.
  • ETL Developer: Mastering the flow of data between different company systems.
  • Cloud Specialist: Moving local data systems into the modern cloud world.

Since data is now a company's most valuable asset, the people who build the systems to manage it are currently the most wanted professionals in the tech industry.

Exam Pattern and Structure

  • Exam Name: Certified Data Engineer (CDE)
  • Exam Code: DS2150
  • Format: Straightforward multiple-choice questions.
  • Question Count: 25 focused questions that test your real-world logic.
  • Time: You have a full 60 minutes to complete it.
  • To Pass: Aim for a score of 60% (15 correct).
  • Skill Level: A fair mix of basic and more challenging situational questions.
  • No Penalty: You aren't punished for guessing on tough questions.

 

Complete Course Syllabus Breakdown

  • Part 1: The Life Journey of Data (How it’s born, used, and retired)
  • Part 2: Getting Pro with Traditional Relational Databases
  • Part 3: Building Massive Data Warehouses and Schemas
  • Part 4: Using Flexible NoSQL Storage for Unstructured Info
  • Part 5: Handling Big Data with Hadoop, HDFS, and Spark
  • Part 6: Moving Data (ETL) and Modern Data Integration
  • Part 7: Automating Tasks with Apache Airflow and Orchestration
  • Part 8: Cloud Mastery with AWS, Azure, & Google Cloud Data Tools
  • Part 9: Staying Safe with Data Governance, Rules, and Privacy
  • Part 10: Processing Live Data and Real-Time Analytics

 

Certification Validity and Renewal

Your CDE badge is valid for three years. Because tech moves so fast, this helps show employers that your skills are still up to date. You can keep it active by staying involved in the tech community or by simply taking a quick update assessment when the time comes. This ensures you remain at the top of your game in a changing market.

 

Prerequisites for Enrollment

You don’t need to be a math genius to start. If you have a basic handle on a bit of coding (like Python or SQL) and understand how simple databases work, you’re in good shape. We’ll help you with the more complicated parts, but those basics will give you a great head start into the world of data engineering.

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Once you finish your lessons with Sprintzeal, you’ll be ready for the official CDE exam on the IABAC portal. We’ll walk you through the sign-up and provide plenty of practice tests so there are no surprises. Once you pass, you get a digital certificate that is respected by companies all over the world.

IABAC sets the global standard. Unlike certificates from just one specific brand (like Amazon or Google), the CDE is "vendor-neutral." This means you learn the universal rules of data engineering that work everywhere, making you a much more flexible and valuable hire for any company, regardless of the tools they use.

It’s a smart mix. You’ll definitely write some code using SQL and Python while the focus is on the PLAN. You will  design systems to help pick the right database for a specific job. This keeps data flowing safely across different platforms. 

Do You Have Questions ? We'll help you to grow your career and growth.

Frequently Asked Questions

We care about your results, not just your sign-up. Our teachers are people who have actually worked in the field for years. We have a 99.6% pass rate since our focus is on the skills you'll actually use on the job. 

Definitely. Most of our enrolled candidates are working professionals just like you. We offer weekend classes and evening sessions for our live online training. And for you to learn in your spare time, we offer the self-paced version. 

You’re never on your own. We give you full support for our cloud-based labs. Our mentors and support staff are just a quick message for all your technical struggles. We help you figure it out so that you can actually do the work, not just read about it.

Yes, it does. Data engineering is the foundation for everything AI. We show you how to build the systems that feed data into machine learning models. Without a good data engineer, AI models "starve" for info, so you’ll learn exactly how to provide the clean data these systems need.

Sprintzeal offers you a course completion certificate as soon as you finish your training hours. This proves you’ve done the work and have the training hours needed. Your official CDE certification from IABAC follows once you pass their assessment.

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