Certified Data Engineer Certification (CDE-DS2150)

  • Master Data Engineering: Gain expertise in designing, building, and managing robust data infrastructure through our certified data engineer program.
  • Stand out in the Industry: Differentiate yourself with a certified data engineer credential, unlocking opportunities in a competitive job market.
  • Advance Your Career: Open doors to exciting opportunities and enhance your technical skills with a certified data engineer certification.
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In the fast-paced, data-driven world of today, obtaining a Certified Data Engineer Certification can open the doors to countless professional opportunities. It's a prestigious credential that validates your ability to harness the power of big data, setting you apart in the competitive field of data integration.

The certification process hones a critical skill set, including proficiency in data architecture and data pipelines. As a Certified Data Engineer, you'll be equipped to create, maintain, and optimize data infrastructure systems. This encompasses the entire data lifecycle, from its inception to its final destination, ensuring that all data is accurate, complete, and secure. Your work ensures the smooth functioning of key processes, such as data warehousing and database management.

One of the core areas of expertise for a Certified Data Engineer is data modeling. A deep understanding of this critical facet enables professionals to make sense of raw data, transforming it into insightful, actionable information. This plays a vital role in shaping business decisions and driving growth.

Another critical skill is proficiency in ETL (Extract, Transform, Load) processes. An ETL expert can efficiently extract data from various sources, transform it into a usable format, and load it into a final destination such as a database or a data warehouse. This process is key to ensuring that businesses can access the right data at the right time, making the role of a Certified Data Engineer crucial to business operations.

Moreover, the certification also covers data analysis, a skill that is increasingly in demand. Analyzing large volumes of data, identifying patterns, and drawing insights is an essential part of any data-driven decision-making process. It's this ability that will allow you to bring value to any organization.

Certified Data Engineer is a valuable credential if you are an aspiring data engineer. This certification propels your career in a promising direction, allowing you to make significant contributions to your organization's data-driven decisions.

 

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COURSE SYLLABUS

Data Engineering Fundamentals

  • Introduction to data engineering
  • Role and responsibilities of a data engineer
  • Data engineering lifecycle and methodologies
  • Data governance and data management principles

Data Modeling and Database Systems

  • Relational database concepts and design
  •  Dimensional modeling and data warehousing
  • NoSQL databases and data modeling
  • Database optimization and performance tuning

Big Data Technologies

  • Introduction to big data technologies (e.g., Hadoop, Spark)
  • Hadoop ecosystem components (HDFS, MapReduce, Hive, Pig)
  • Apache Spark for large-scale data processing and analytics
  • Data streaming frameworks (e.g., Kafka, Apache Flink)

Data Integration and ETL Processes

  • Extract, Transform, Load (ETL) concepts and methodologies
  • Data ingestion techniques (batch processing, real-time streaming)
  • Data integration tools (e.g., Apache NiFi, Talend, Informatica)
  • ETL pipeline design and implementation best practices

Data Pipelines and Workflow Orchestration

  • Workflow orchestration tools (e.g., Apache Airflow, Luigi)
  • Designing and implementing data pipelines
  • Data pipeline monitoring and error handling
  • Scalability and fault tolerance considerations

Cloud Computing and Data Platforms

  • Introduction to cloud computing platforms (e.g., AWS, Azure, GCP) .
  • Cloud-based data storage and processing solutions 
  • Serverless computing and managed services
  • Data security and privacy in the cloud

Data Quality and Data Governance

  • Data quality assessment and improvement techniques
  • Data lineage and metadata management
  • Data cataloging and data governance frameworks
  • Compliance and regulatory considerations

Real-time Data Analytics and Machine Learning

  • Real-time data processing and analytics frameworks (e.g., Apache Kafka, Apache Flink)
  • Streaming data analytics and complex event processing
  • Introduction to machine learning and model deployment
  • Integrating machine learning pipelines into data workflows

Data Visualization and Reporting

  • Data visualization principles and best practices
  • Data visualization tools and libraries (e.g., Tableau, Power BI, Matplotlib)
  • Creating interactive dashboards and reports
  • Storytelling with data and communicating insights effectively

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Prerequisite Certification

  • Strong knowledge of databases, data modeling, and SQL.
  • Experience with big data technologies like Hadoop, Spark, and NoSQL databases.
  • Understanding of data warehousing concepts and ETL (Extract, Transform, Load) processes.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Ability to design and implement scalable data pipelines and data integration solutions.
  • Knowledge of data governance, data quality, and data security principles.

Who can pursue this certification?

The Certified Data Engineer Certification is designed for professionals who work with big data and data engineering. Individuals who can pursue this certification include:

Data Engineers: Data engineers who design, build, maintain, and troubleshoot data processing systems and infrastructure can benefit from pursuing this certification. They work with tools and technologies such as Hadoop, Spark, and various data storage systems.

Data Architects: Data architects who are responsible for designing and managing data structures and architectures can also pursue this certification. They typically work on data modeling, database design, and data integration.

ETL Developers: Extract, Transform, and Load (ETL) developers who are involved in designing and implementing ETL processes to extract data from various sources, transform it, and load it into a data warehouse or another destination can benefit from this certification.

Big Data Professionals: Professionals who work extensively with big data technologies, such as Hadoop, Spark, and distributed computing frameworks, can pursue this certification to enhance their skills and validate their expertise.

Database Administrators: Database administrators who are responsible for managing and maintaining databases, ensuring data security and availability, and optimizing database performance can also pursue this certification to broaden their knowledge in data engineering.

Data Scientists: While the Certified Data Engineer Certification is more focused on the engineering aspects of data, data scientists who want to strengthen their understanding of data engineering principles and gain hands-on experience with data engineering tools can also pursue this certification.

 

Certified Data Engineer

(Test Preparation Study Guide)

Become a Certified Data Engineer with our comprehensive certification program. Access our free study guide for a quick and effective way to prepare for the exam. Start your journey now

The Benefits

International Credential

IABAC is a widely recognized credentialing framework based on European commission funded EDISON Data Science body of knowledge. This credential provides distinction as high potential certified Data Science Professionals enabling better career prospects.

Global Opportunities

IABAC certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

Specialization

IABAC Certification designed to cater to the job requirements of all experience levels and specializations, which suits roles aligned with the industry standards.

Relevant and updated

IABAC CPD (Continuing Professional Development) program enables credential holders to update their skills and stay relevant to the industry requirements.

Higher Salaries

On an average, a certified professional earns 30-40% more than their non-certified as per recent study by Forbes.

Summits & Webinars

In addition, IABAC members will have exclusive access to seminars and Data Science summits organised by IABAC partners across the globe.

Not sure which certification suits your goal? Get a free counselling

DATA SCIENCE CERTIFICATIONS

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Data Science Foundation
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Certified Data Science Developer
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Certified Machine Learning Expert
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Certified Data Scientist
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Certified Data Scientist - Operations

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Certified Data Scientist - Finance

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Certified Data Scientist - HR

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Certified Data Scientist - Marketing
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Data Science Certified Manager
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Certified MLOps Engineer

COURSE FAQs

Does IABAC provide training for the Certified Data Engineer Certification?

IABAC doesn’t provide training for Certified Data Engineer Certification but IABAC has a world-wide network of authorized training partners, who provide training aligned with the IABAC program syllabus.

Does Certified Data Engineer Certification require renewal?

Certified Data Engineer Certification is an advanced level certification and thereby, as per IABAC guidelines, this certification requires renewal every 3 years.

What is the process to re-take Certified Data Engineer Certification exam?

The Certified Data Engineer Certification exam retake process is the same as the regular booking. If you have booked through IABAC authorized partners then, your training institute can book the retake at significant discount.

How long does it take to get a Certified Data Engineer Certification after the exam completion?

The time taken for Certified Data Engineer Certification after the exam completion is usually 10 working days.

What is IABAC Certified Data Engineer Certification value in the global market?

IABAC is arguably the most respected certification and the world’s first Certified Data Engineer Certification board based on the European commission Edison framework.  The regions such as the USA, UK, Singapore, India and the Middle-east, IABAC is well recognised and many MNCs specifically mention IABAC requirements in their job descriptions.