Bigdata and Hadoop Course Training in Jalandhar

Bigdata and Hadoop Course Training in Jalandhar
Itronix Solutions

Module 1: Introduction to Big Data

  • Definition and Characteristics of Big Data
  • Challenges and Opportunities
  • Evolution of Big Data Technologies

Module 2: Basics of Hadoop

  • Introduction to Hadoop Ecosystem
  • Hadoop Distributed File System (HDFS)
  • MapReduce Programming Model

Module 3: Hadoop Ecosystem Components

  • Apache Hive for Data Warehousing
  • Apache Pig for Data Flow
  • Apache HBase for NoSQL Databases
  • Apache Spark for In-Memory Processing

Module 4: Data Ingestion and Processing

  • Apache Flume for Log Collection
  • Apache Sqoop for Data Import/Export
  • Real-time Data Processing with Apache Kafka

Module 5: Hadoop Cluster Management

  • Setting Up and Configuring a Hadoop Cluster
  • Cluster Monitoring and Maintenance
  • High Availability and Fault Tolerance

Module 6: Advanced Hadoop Concepts

  • YARN (Yet Another Resource Negotiator)
  • Hadoop Security and Authorization
  • Hadoop Performance Tuning

Module 7: Introduction to Big Data Analytics

  • Overview of Big Data Analytics
  • Batch and Real-time Processing
  • Use Cases and Applications

Module 8: Machine Learning with Big Data

  • Introduction to MLlib (Machine Learning Library)
  • Building and Evaluating Machine Learning Models
  • Integrating Machine Learning with Hadoop

Module 9: Big Data in the Cloud

  • Cloud Computing Basics
  • Big Data Solutions on Cloud Platforms (AWS, Azure, GCP)

Module 10: NoSQL Databases

  • Introduction to NoSQL Databases
  • Types of NoSQL Databases (e.g., MongoDB, Cassandra)
  • Integrating NoSQL with Hadoop

Module 11: Big Data Security and Governance

  • Security Challenges in Big Data
  • Implementing Security Measures
  • Data Governance and Compliance

Module 12: Real-world Big Data Projects

  • Case Studies and Project Examples
  • Hands-on Project Work

Module 13: Future Trends in Big Data

  • Emerging Technologies (e.g., Apache Flink, Apache Beam)
  • Industry Trends and Innovations

Module 14: Tools and Development Environment

  • Setting Up a Hadoop Development Environment
  • Using Development Tools (e.g., Apache Zeppelin, Jupyter)

Module 15: Career Development in Big Data

  • Job Roles in Big Data
  • Building a Career Path
  • Networking and Professional Development

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Bigdata and Hadoop Course Fee and Duration in Jalandhar

Enroll for Best Bigdata and Hadoop Course Training in Jalandhar with 100% Placement Guarantee
TrackRegular TrackWeekend TrackFast Track
Course Duration45 – 60 Days8 Weekends5 Days
Hours2 hours a day3 hours a day6+ hours a day
Training ModeLive ClassroomLive ClassroomLive Classroom
1. What are the employment opportunities available for qualified professionals after completing Bigdata and Hadoop Course in Jalandhar?
  1. Big Data Engineer
  2. Hadoop Developer
  3. Data Engineer
  4. Big Data Architect
  5. Data Analyst (Big Data)
  6. Machine Learning Engineer (Big Data)
  7. Big Data Consultant
  8. Data Scientist (Big Data)
  9. Cloud Data Engineer
  10. Big Data Administrator
  11. Big Data Quality Analyst
  12. IoT Data Engineer
  13. Business Intelligence Analyst (Big Data)
  14. Hadoop Operations Analyst
  15. Cybersecurity Analyst (Big Data)
2. Which are some of the reputed companies that recruit professionals in Bigdata and Hadoop?
  1. Google
  2. Amazon (AWS)
  3. Microsoft
  4. IBM
  5. Cloudera
  6. Hortonworks (now part of Cloudera)
  7. LinkedIn (Microsoft)
  8. Facebook
  9. Twitter
  10. Uber
  11. eBay
  12. Netflix
  13. Yahoo (Verizon Media)
  14. Airbnb
  15. Cisco
3. What is the qualification required for Bigdata and Hadoop Course in Jalandhar? Whom does it benefit?

A qualification for a Big Data and Hadoop course typically requires a background in computer science or related fields, along with knowledge of programming languages like Java or Python. Familiarity with data processing concepts is beneficial. Some courses cater to beginners, while others may target professionals seeking to enhance their Big Data skills.

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