What You'll Learn
Comprehensive curriculum designed by industry experts
Big Data Fundamentals
- Distributed Computing
- Hadoop Ecosystem (HDFS, YARN)
- MapReduce Concept
- CAP Theorem
- File Formats (Parquet/Avro)
- Cloud Storage
Apache Spark
- Spark RDDs
- Spark SQL
- DataFrames
- Spark Streaming
- Optimization
- Databricks Environment
NoSQL Databases
- MongoDB (Document)
- Cassandra (Wide Column)
- Redis (Key-Value)
- Neo4j (Graph)
- Database Selection
- Scaling Strategies
Pipeline Orchestration
- Apache Airflow
- DAG Design
- Error Handling
- Dependency Management
- Monitoring
- Backfilling
Live Projects
Build real-world applications that look great on your portfolio
Log Analysis Platform
Process terabytes of server logs to find anomalies in real-time.
Spark StreamingKafkaElasticsearchKibana
Data Lake Construction
Build a data lake architecture for a startup from scratch.
AWS S3GlueAthenaSpark
Prerequisites
- Strong coding (Python/Java/Scala)
- SQL
- Linux
Career Outcomes
- Process big data
- Optimize Spark jobs
- Manage NoSQL DBs
- Architect data lakes
Tools You'll Master
Apache SparkHadoopMongoDBAirflowAWS
Certification
Big Data Engineer Certificate
Performance-based stipend
Apply for This Internship
Start your journey with Big Data Engineering Internship