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Big Data Training and Certification

Best Big Data Training in Chennai

Immek Softech Academy offers the best Big Data training in Chennai, designed to help learners master the end-to-end Big Data ecosystem. This in-demand course covers core components such as Hadoop, Spark, Hive, HBase, and data ingestion tools like Sqoop and Flume. You’ll learn to process, store, and analyze massive datasets using distributed computing frameworks. The curriculum also emphasizes real-time data processing, data lake architecture, and cloud-based Big Data solutions. With seamless integration into modern enterprise environments, Big Data technologies enable organizations to extract actionable insights and make data-driven decisions at scale.

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Big Data Training in Chennai

Immek Softech Academy provides expert-led Big Data training in Chennai, designed to help learners master the complete Big Data ecosystem. This job-oriented Big Data certification course covers key technologies including Hadoop, Spark, Hive, HBase, and data ingestion tools like Sqoop and Flume. With hands-on training, real-time projects, and data processing frameworks, students gain practical knowledge to become certified Big Data Engineers or Analysts and accelerate careers in data engineering, analytics, and cloud-based data solutions.

Pre-requisites for Big Data Training in Chennai – Big Data Certification Course

  • Educational Background -A basic understanding of Computer Science, Mathematics, or Statistics is preferred but not mandatory for Big Data training eligibility in Chennai.
  • Technical Skills – Familiarity with programming concepts (like Java, Python, or SQL) and database systems helps in navigating Big Data tools and platforms effectively.
  • Work Experience (Optional) – Professionals from software development, data analytics, or IT operations will benefit the most from this Big Data Engineer or Analyst certification course.
  • Analytical Mindset – Ability to process and interpret large volumes of data using analytical and logical thinking is essential for success in Big Data roles.

Objectives of Big Data Training – Big Data Certification Course

  • Master Big Data Technologies – Learn Hadoop, Spark, Hive, HDFS, and NoSQL databases through in-depth Big Data platform and architecture training
  • Enhance Data Processing & Analysis Skills – Use Big Data tools for high-speed data ingestion, real-time analytics, and large-scale batch processing
  • Gain Hands-on Experience – Work on live Big Data projects, case studies, and real-world business data management scenarios
  • Automate & Optimize Data Pipelines – Streamline data collection, cleansing, transformation, and reporting using Big Data automation tools and workflows
  • Prepare for Big Data Certification – Develop the skills required to clear leading Big Data certifications and earn global industry recognition
  • Unlock Career Growth – Become a Big Data Engineer, Data Analyst, Data Scientist, or Big Data Architect with this job-oriented training in Chennai

Big Data Training Syllabus – Big Data Certification Course at Immek Softech Academy

1. Introduction to Big Data and Hadoop Ecosystem
  • Understanding Big Data challenges and opportunities
  • Overview of Hadoop, HDFS, and YARN
  • Big Data use cases across industries
2. Hadoop Distributed File System (HDFS)
  • Architecture and data flow in HDFS
  • Data replication, block storage, and fault tolerance
  • Hands-on with HDFS commands and operations
3. MapReduce Programming
  • Core concepts of MapReduce
  • Developing MapReduce programs using Java
  • Optimization and debugging MapReduce jobs
4. Apache Hive
  • Introduction to Hive and data warehousing
  • HiveQL: SQL-like querying in Big Data
  • Partitioning, bucketing, and optimization techniques
5. Apache Pig
  • Pig Latin scripting language for data analysis
  • Data transformation and pipeline creation
  • Advanced Pig techniques: joins, UDFs
6. Apache HBase
  • NoSQL concepts and HBase architecture
  • Data modeling with HBase tables
  • Integration of HBase with Hadoop ecosystem
7. Apache Spark
  • Spark fundamentals and architecture
  • RDDs, DataFrames, and Spark SQL
  • Real-time data processing with Spark Streaming
8. Spark Core & Spark SQL
  • Transformations and actions in RDDs
  • Writing efficient Spark SQL queries
  • Integrating Spark with Hive
9. Apache Kafka
  • Introduction to Kafka messaging system
  • Producer, Consumer, and Broker architecture
  • Real-time streaming with Kafka and Spark
10. Data Ingestion Techniques
  • Sqoop for relational database import/export
  • Flume for real-time log ingestion
  • Data ingestion best practices
11. Data Processing & ETL with Big Data Tools
  • ETL workflows using Hive and Spark
  • Data cleansing, enrichment, and aggregation
  • Building end-to-end data pipelines
12. Big Data Storage Technologies
  • HDFS vs HBase vs Amazon S3
  • Data lake architectures and best practices
  • Storage optimization and tuning
13. Big Data Analytics and Reporting
  • Overview of analytical tools: Tableau, Power BI
  • Integration with Big Data platforms
  • Creating visual reports from large datasets
14. Machine Learning with Big Data (MLlib)
  • Introduction to MLlib library
  • Building machine learning models at scale
  • Classification, regression, clustering in Big Data
15. Security in Big Data
  • Data encryption and masking techniques
  • Kerberos authentication and Ranger policies
  • Securing Big Data platforms end-to-end
16. Cloud Integration (AWS, Azure, GCP)
  • Hadoop on AWS EMR and GCP Dataproc
  • Big Data services on cloud platforms
  • Hybrid cloud Big Data architecture
17. Big Data Project Lifecycle
  • Gathering requirements for Big Data projects
  • Solution design and architecture
  • Best practices for project delivery
18. Performance Tuning & Optimization
  • Tuning Hadoop and Spark clusters
  • Resource allocation and job optimization
  • Troubleshooting performance bottlenecks
19. Data Governance and Compliance
  • GDPR, HIPAA, and data protection laws
  • Metadata management and data lineage
  • Audit trails and access controls
20. Real-World Industry Projects
  • Retail customer analytics
  • Fraud detection using Big Data
  • Sentiment analysis on social media
21. Emerging Technologies in Big Data
  • Introduction to Apache Flink and Presto
  • Big Data with AI and IoT
  • Future of Big Data: trends and predictions
22. Interview Preparation and Resume Building
  • Resume writing focused on Big Data roles
  • Big Data Engineer, Data Analyst, Architect job roles
  • Mock interviews and technical Q&A sessions
23. Big Data Certification Preparation
  • Big Data Hadoop Certification (Cloudera, Hortonworks)
  • Practice tests and sample certification questions
  • Final project evaluation and feedback
24. Data Migration and Integration
  • Migrating from traditional systems to Big Data platforms
  • Data integration strategies across cloud and on-premise
  • Challenges and solutions in large data migrations
25. Final Assessment & Course Completion
  • Hands-on project evaluation
  • Real-world case studies and final presentations
  • Certification issuance and placement support
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Tools Covered in Big Data Training

1. Key Tools Covered in Big Data Training
  • Hadoop Ecosystem – Learn HDFS storage, MapReduce processing, and the Hadoop distributed architecture.
  • Apache Spark – Master in-memory big data processing for faster data analysis and real-time data handling.
  • NoSQL Databases – Work with MongoDB, Cassandra, and HBase for scalable and flexible data management.
2. Advanced Big Data Tools – Big Data Analytics Training
  • Apache Hive & Pig – Perform SQL-like querying and data transformations on massive datasets.
  • Apache Kafka – Learn real-time data streaming, messaging, and distributed data pipelines.
  • Apache Flink & Storm – Real-time event processing and stream analytics for dynamic big data environments.
3. Data Engineering & Automation in Big Data
  • Data Warehousing & ETL Tools – Design data pipelines with tools like Apache NiFi, Talend, and Informatica.
  • Workflow Automation – Automate big data workflows, scheduling with Apache Oozie and Airflow.
4. Big Data Integration & Customization – Big Data Training
  • Integration with Cloud Platforms – Integrate Big Data solutions with AWS, Azure, and Google Cloud.
  • Big Data Programming (Basic Exposure) – Gain exposure to coding in Python, Scala, and Java for custom big data applications.

Top Big Data Interview Questions – Big Data Job Preparation Guide

General Big Data Concepts
  • What is Big Data and how does it help in processing massive datasets with technologies like Hadoop and Spark?
  • How does Big Data integrate with traditional systems for hybrid data management and analytics?
  • What are the major differences between batch processing and real-time processing architectures in Big Data?
Big Data Storage & Processing
  • How is data stored and managed in distributed file systems like HDFS?
  • What are the key differences between Hadoop MapReduce and Apache Spark for data processing?
  • How do NoSQL databases such as MongoDB, Cassandra, and HBase support Big Data applications?
Real-Time Data Streaming & Automation
  • How do tools like Apache Kafka and Apache Flink enable real-time data streaming and analytics?
  • What is stream processing, and how does it differ from batch processing in Big Data?
  • How can workflow automation tools like Apache Airflow streamline Big Data pipeline management?
Big Data Integration & Advanced Analytics
  • How is Big Data integrated with Machine Learning for predictive analytics and AI-driven insights?
  • What are the migration challenges when moving from traditional systems to Big Data platforms?
  • How do visualization tools like Tableau and Power BI handle large-scale Big Data reporting and dashboards?

Why Immek Softech Academy is the Best Big Data Training Institute in Chennai

High Success Rate – Industry-recognized expertise in Big Data training with a focus on data management, processing, and analytics.
Job-Oriented Curriculum – Covers the latest Big Data tools and technologies such as Hadoop, Spark, Kafka, and real-time data analytics.
Hands-on Experience – Real-time exposure through live Big Data projects, data processing simulations, and business case scenarios.
Expert Trainers – Learn from certified Big Data professionals with hands-on experience in data science, analytics, and Big Data implementation.
Career & Certification Support – Get 100% job assistance, resume building, and Big Data certification guidance with expert mentorship.
High-Demand Career Paths – Become a Big Data Engineer, Data Scientist, or Data Analyst with skills that meet the growing industry demand.
Flexible Learning – Choose from online or classroom Big Data training in Chennai to suit your schedule and learning style.

Benefits of Big Data Training at Immek Softech Academy

  • Industry-Focused Curriculum – Learn Big Data technologies like Hadoop, Spark, and Kafka through real-world data management and analytics scenarios tailored for today’s enterprise needs
  • Hands-on Training – Work on live Big Data projects, case studies, and data processing exercises using leading Big Data tools
  • Expert-Led Sessions – Certified Big Data professionals deliver instructor-led sessions with deep data engineering and analytics domain knowledge
  • Certification Assistance – Get step-by-step guidance to crack globally recognized Big Data certification exams like Cloudera, Hortonworks, or Google Data Engineer
  • 100% Job Placement Support – Resume writing, interview prep, and job referrals included with our job-oriented Big Data course in Chennai
  • Flexible Learning Options – Choose between online or offline Big Data training in Chennai for convenience and flexibility
  • High-Demand Career Opportunities – Become a Big Data Engineer, Data Scientist, or Data Analyst with practical skills for top-paying roles in data-driven industries

Placement Support – Big Data Training at Immek Softech Academy

  • 100% Job Assistance – End-to-end support to land roles in Big Data engineering, analytics, and data science through our job-oriented Big Data training in Chennai
  • Professional Resume Building – Build a strong, Big Data-focused resume highlighting your expertise in Hadoop, Spark, Hive, and large-scale data processing
  • Interview Preparation – Get trained with mock interviews, scenario-based Q&A, and expert feedback tailored for Big Data roles
  • Industry Tie-Ups – Access top tech domain job openings and Big Data placement referrals through our network of leading companies and consultancies
  • Big Data Certification Guidance – Prepare for Big Data certification exams like Cloudera, AWS Certified Big Data, or Google Professional Data Engineer with structured guidance
  • Career Mentorship – Personalized sessions to guide your growth as a Big Data Engineer, Data Analyst, or Data Scientist

Register for this Course

    Course Duration 30 Hrs.

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    Flexible Batches For You

    05-March-2025
    Monday (Monday - Friday)

    Weekdays Regular

    08:00 AM (IST)

    (Class 1Hr - 1:30Hrs) / Per Session

    26-Feb-2025
    Wednesday (Monday - Friday)

    Weekdays Regular

    08:00 AM (IST)

    (Class 1Hr - 1:30Hrs) / Per Session

    01-Mar-2025
    Saturday (Saturday - Sunday)

    Weekend Regular

    11:00 AM (IST)

    (Class 1Hr - 1:30Hrs) / Per Session

    Course Fee:

    ₹40,000

    ₹ 32,000

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    big data Training Key Benefits

    • 5 Weeks Training

      For Become a Expert
    • Certificate of Training

      From Industry big data Experts
    • Beginner Friendly

      No Prior Knowledge Required
    • Build 3+ Projects

      For Hands-on Practices
    • Lifetime Access

      To Self-placed Learning
    • Placement Assistance

      To Build Your Career

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    Showcase your Course Completion Certificate to Recruiters

    • A leading training institute offering top-notch IT courses.
    • Industry-accepted certifications to boost career prospects.
    • Proof of skills in Big Data Training other technologies.
    • Helps in securing jobs with top companies worldwide.
    • Enhances resume & showcases expertise to recruiters.
     

    Frequently Asked Questions (FAQ)

    1. Who can enroll in this Big Data course?

    Anyone with a background in IT, computer science, engineering, or data analytics can join. No prior Big Data experience is required to enroll in the Big Data training program.
    Big Data skills open doors to high-paying roles in data engineering, data analysis, and machine learning. Learning Big Data tools like Hadoop, Spark, and NoSQL databases enables you to manage and analyze massive datasets efficiently, leading to better decision-making and career opportunities.
    Yes, the Big Data course is available both online and in the classroom, giving you flexibility in how you want to learn.
    Yes, the course includes extensive hands-on training, where you will work on real-world projects using tools like Hadoop, Spark, and Kafka, ensuring you gain practical experience.
    • Yes, the course is designed to help you prepare for globally recognized Big Data certifications, including Cloudera, Hortonworks, and others.
    Yes, we provide 100% job assistance, including resume building, interview preparation, and job referrals, to help you land a role in the Big Data field.
    After completing Big Data training, you can expect a salary ranging from ₹6 LPA to ₹15 LPA, depending on your experience, role, and organization. Junior roles like Data Engineer may start at a lower salary, while senior roles like Data Scientist or Big Data Architect may command higher packages.
    Career Assistance
    • - Build an Impressive Resume
    • - Get Tips from Trainers to Clear Interviews
    • - Attend Mock-Up Interviews with Experts
    • - Get Interviews & Get Hired