Certified Big Data Foundation
Comprehensive introduction to big data concepts, technologies, and tools for foundational knowledge and practical understanding.

Course Information
Why Choose Garranto Academy for Your Certified Big Data Foundation Training?
Choose Garranto Academy for your Certified Big Data Foundation training and benefit from expert-led instruction, hands-on exercises, and real-world case studies tailored to today's industry demands. Our curriculum is designed by practitioners with deep Big Data and Cloud Computing expertise, ensuring you gain immediately applicable skills backed by globally recognised frameworks.
Course Overview
Comprehensive introduction to big data concepts, technologies, and tools for foundational knowledge and practical understanding.
Course Objectives
- Understand big data concepts, architectures, and the Hadoop ecosystem.
- Process and analyse large datasets using distributed computing frameworks.
- Deploy and manage big data workloads on cloud platforms.
- Apply data engineering best practices for data lakes and lakehouses.
- Implement real-time data streaming and batch processing pipelines.
- Evaluate big data tools: Spark, Kafka, Hive, and cloud-native services.
Prerequisites
- Basic understanding of databases and data management.
- Familiarity with Linux command line and scripting.
- Some experience with SQL or data analysis tools.
Course Outlines
Module 1: Big Data Fundamentals
- The 5 Vs of big data and ecosystem overview
- Hadoop architecture: HDFS, YARN, and MapReduce
- From Hadoop to modern data lakehouses
Module 2: Data Processing with Spark
- Apache Spark architecture and RDDs
- Spark DataFrames, SQL, and Spark MLlib
- Batch vs streaming processing with Spark Structured Streaming
Module 3: Cloud Big Data Platforms
- AWS EMR, Azure HDInsight, and Google Dataproc
- Cloud-native: BigQuery, Redshift, and Synapse Analytics
- Managed Kafka: Confluent, AWS MSK, and Azure Event Hubs
Module 4: Real-Time Streaming
- Apache Kafka architecture and use cases
- Stream processing: Flink, Spark Streaming, and Kinesis
- Building event-driven data pipelines
Module 5: Data Engineering & Governance
- Data lake and lakehouse design patterns
- Data cataloguing, lineage, and quality management
- Security and access control for big data systems
Course Outcomes
- Design and implement big data processing architectures.
- Process large datasets using Spark and distributed computing.
- Deploy big data workloads on cloud platforms.
- Build real-time streaming data pipelines.
- Apply data governance practices to big data environments.
Benefits of Certified Big Data Foundation
Completing the Certified Big Data Foundation programme at Garranto Academy equips you with in-demand competencies, enhances your professional credibility, and accelerates career growth. Participants gain practical experience, access to a peer network of professionals, and the confidence to apply new knowledge directly in their organisations.
What You'll Learn
Facilities & Equipment
Virtual Training
- Electronic materials
- IT support for software & hardware
- Administrative support
Face-to-Face Training
- Air-conditioned classroom
- Meals & refreshments provided
- Projector & smart board
- Stationery provided
What Learners Say
Real experiences, real results
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