Categories Big Data Engineering
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Big Data Engineering Course In Chennai

Course Curriculum
Introduction to Big Data Engineering
Understanding the concept and significance of big data
00:00Overview of the big data engineering process
00:00Introduction to Hadoop, Spark, and other big data technologies
00:00
Distributed Storage Systems
Exploring distributed file systems (HDFS, S3, etc.)
00:00Understanding data partitioning and replication strategies
00:00Hands-on exercises with distributed storage systems
00:00
Data Ingestion and Extraction
Techniques for data ingestion from various sources
00:00Extracting data from databases, APIs, and streaming platforms
00:00Building scalable data ingestion pipelines
00:00
Data Processing with Apache Spark
Introduction to Apache Spark and its ecosystem
00:00Working with Spark RDDs, DataFrames, and Datasets
00:00Applying transformations and actions on big data
00:00
Data Transformation and Manipulation
Performing data cleaning and preprocessing
00:00Implementing data transformations using Spark SQL and DataFrame APIs
00:00Hands-on exercises for data manipulation
00:00
Distributed Data Processing with Apache Hadoop
Overview of Apache Hadoop and MapReduce framework
00:00Designing and implementing MapReduce jobs
00:00Advanced concepts like combiners, partitioners, and counters
00:00
Big Data Pipelines and Workflow Management
Building end-to-end data processing pipelines
00:00Introduction to workflow management tools (Airflow, Oozie, etc.)
00:00Orchestrating and scheduling data workflows
00:00
Scalable Data Storage and Querying
Introduction to NoSQL databases (MongoDB, Cassandra, etc.)
00:00Distributed querying using HBase and Hive
00:00Hands-on exercises for working with scalable data storage systems
00:00
Real-time Stream Processing
Understanding stream processing frameworks (Apache Kafka, Flink, etc.)
00:00Building real-time data processing pipelines
00:00Handling event time and windowing operations
00:00
Data Quality and Governance
Data quality assessment and monitoring
00:00Implementing data governance practices
00:00Security and compliance considerations
00:00
Performance Optimization and Troubleshooting
Identifying and resolving performance bottlenecks
00:00Techniques for optimizing data processing and storage
00:00Troubleshooting common issues in big data environments
00:00
Big Data Analytics and Visualization
Introduction to big data analytics techniques (machine learning, graph analytics, etc.)
00:00Visualizing and interpreting big data insights
00:00
Applying big data engineering skills to solve a real-world problem
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- LevelIntermediate
- Last UpdatedMay 16, 2023
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Course Description:
The Big Data Engineering course is designed to equip aspiring data engineers with the skills and
knowledge necessary to handle large-scale data processing and analysis. This comprehensive
course covers the fundamentals of big data technologies, including storage, processing, and
management, as well as the practical aspects of building scalable and efficient data pipelines.
Through a combination of theoretical lectures and hands-on exercises, students will gain the
expertise needed to succeed in the rapidly evolving field of big data engineering.