Big Data Architect Training

Learning Facility

Reed Courses Certificate of Completion

Digital certificate - Included

• Big Data Architect 44:00

  • 1: Module 1 Introduction to Big Data 06:00
  • 2: Module 2 Hadoop and MapReduce 07:00
  • 3: Module 3 NoSQL Databases 06:00
  • 4: Module 4 Data Storage and Retrieval 09:00
  • 5: Module 5 Data Processing with Spark 07:00
  • 6: Module 6 Data Analysis with Hadoop and Pig 09:00
  • 7: Assessment -

• Review Request 01:00

  • 8: Review Request for Big Data Architect 477768 01:00

• Claim Your Certificate 01:00

  • 9: Certificate claim Big Data Architect 477768 01:00

Big Data Architect

The Big Data Architect course is a comprehensive journey through the full spectrum of big data technologies and design methodologies. It is carefully structured to introduce key architectural considerations, data lifecycle management, and end-to-end infrastructure planning for handling petabyte-scale data.

Throughout the course, learners will become familiar with:

• The foundational principles of big data architecture, including distributed systems and fault tolerance.

• The core components of big data frameworks such as Hadoop HDFS, YARN, and MapReduce.

• Streaming and batch data processing using tools like Apache Spark and Apache Flink.

• Data ingestion and integration using big data connectors, APIs, and pipelines (including tools like Apache NiFi and Kafka).

• The role of NoSQL and columnar databases within big data architectures (e.g., Cassandra, HBase, and MongoDB).

• Best practices for designing scalable big data solutions using cloud-native services like AWS EMR, Azure HDInsight, and Google Cloud Dataproc.

• Techniques for secure big data environments, including governance, encryption, and access control.

• Building and managing data lakes, warehouses, and real-time dashboards powered by big data analytics engines.

In addition, learners will gain insight into data architecture design patterns, the importance of metadata management, and how to ensure data quality within a big data ecosystem. Emphasis is placed on aligning architectural designs with business goals to ensure maximum value extraction from big data systems.

The course highlights how big data supports real-world applications such as customer personalisation, fraud detection, predictive maintenance, and market analysis. Learners will leave with the knowledge to plan, construct, and optimise big data systems that are robust, scalable, and aligned with enterprise needs.

This is a self-paced learning platform, meaning you can study at your own pace and convenience. Additionally, each section of the course is divided in a way that allows you to easily pick up where you left off, making it easy to manage your time and progress throughout the course.

This course is ideal for professionals aiming to gain a strategic and technical understanding of big data ecosystems. It is particularly well-suited for:

• Aspiring and current data architects wanting to specialise in big data technologies.

• Data engineers looking to enhance their architectural planning skills for big data platforms.

• IT professionals transitioning into big data system design roles.

• Business intelligence professionals who want to understand backend architecture supporting analytics.

• Software developers seeking to scale their data infrastructure knowledge to accommodate big data volumes.

No prior hands-on experience is necessary, though a foundational understanding of data systems and programming will be advantageous.

This Big Data Architect course requires no formal qualification to start.

Completing the Big Data Architect course can lead to roles such as:

• Big Data Architect

• Data Engineer

• Cloud Data Architect

• Data Integration Specialist

• Analytics Infrastructure Consultant

Currently there are no Q&As for this course. Be the first to ask a question.