Big Data
Master Big Data Technologies – Learn Hadoop, Spark & Data Processing at Scale
1:1 Doubt Session
Guaranteed Interview Calls
Certificate
Designed For Professionals
Course Overview
Tekshiksha’s Big Data Course is designed to equip learners with the skills required to handle, process, and analyze massive volumes of structured and unstructured data. The course covers the entire Big Data ecosystem, including Hadoop, HDFS, MapReduce, Hive, Pig, Sqoop, Flume, and Apache Spark. You’ll also gain hands-on experience in real-time data processing and batch analytics using industry-relevant tools. Ideal for aspiring data engineers, analysts, and developers, this course will prepare you to work with complex datasets and make data-driven decisions at scale.
Course Overview
Module 1: Introduction to Big Data
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What is Big Data?
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Characteristics of Big Data (Volume, Variety, Velocity, Veracity, Value)
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Use cases and applications in industries
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Overview of Big Data tools and technologies
Module 2: Hadoop Ecosystem & Architecture
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Introduction to Hadoop and HDFS
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Hadoop architecture and components
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MapReduce programming model
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Hadoop setup and configuration
Module 3: HDFS and Data Ingestion
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File storage and block structure in HDFS
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Data loading techniques
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Using Flume and Sqoop for data ingestion
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File formats: Text, CSV, Avro, Parquet, ORC
Module 4: Hive & Pig
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Introduction to Hive and data warehousing
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HiveQL for querying big data
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Partitioning and bucketing
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Introduction to Apache Pig
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Pig Latin scripts for ETL tasks
Module 5: Apache Spark
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Spark architecture and RDDs
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Spark vs Hadoop MapReduce
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Working with Spark SQL and DataFrames
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Transformations and actions
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Introduction to Spark Streaming for real-time analytics
Module 6: Data Processing with Spark
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ETL using PySpark
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Handling structured and semi-structured data
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Integration with Hive, HDFS, and other data sources
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MLlib basics for machine learning in Spark
Module 7: Workflow Management and Scheduling
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Introduction to Apache Oozie and Airflow
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Creating and managing workflows
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Job scheduling and monitoring
Module 8: Big Data on Cloud Platforms
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Introduction to AWS EMR / Google Dataproc / Azure HDInsight
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Cloud-based data storage and processing
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Cluster creation and job deployment on the cloud (optional module)
Module 9: Real-Time Projects
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Retail transaction analysis
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Log processing system
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Real-time sensor data analysis
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Capstone Project: End-to-end Big Data pipeline
Module 10: Career Preparation
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Resume and portfolio guidance
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GitHub project uploads
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Interview questions and practice sessions
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Certification support
Program Certification
Tekshiksha Technologies Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.
Tekshiksha Technologies Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.
Training Options
Online Bootcamp
- Flexi Pass Enabled: Flexibility to reschedule your cohort within first 90 days of access.
- 90 days of flexible access to online classes
- Live, online classroom training by top instructors and practitioners
Upskill with top instructors
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Corporate Training
- Flexible pricing & billing options
- Private cohorts available
- Training progress dashboards
- Skills assessment & benchmarking
- Platform integration capabilities
- Dedicated customer success manager
Get in Touch
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