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Big Data Master Certification Training

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Reviews 4.9 (4.6k+)

Rated 4.7 out of 5

Learners : 1080

Duration : 25 Days

About Course

💻 Course Overview

The Big Data Master Online Training program is designed to help learners gain in-depth knowledge of big data technologies, tools, and frameworks used to process, analyze, and visualize massive datasets. This comprehensive course covers the entire big data ecosystem — including Hadoop, Spark, Hive, HBase, Kafka, Flume, and NoSQL databases — along with hands-on experience in data ingestion, processing, and analytics. By the end of the course, learners will be able to handle end-to-end big data projects and drive data-driven decision-making in real-world environments.

🚀 Key Features

Comprehensive Big Data Master Curriculum: Covers Hadoop, Spark, Hive, Kafka, and other key tools.
Hands-On Training: Real-time projects on big data pipelines and analytics.
Expert Instructors: Learn from industry professionals with extensive big data master experience.
Practical Exposure: Work with live datasets to simulate real-world challenges.
Integration with Cloud: Learn how to deploy big data solutions on AWS, Azure, or Google Cloud.
Career-Oriented Learning: Guidance for certifications and interview preparation.
Flexible Learning Options: Available through live instructor-led and self-paced modes.
End-to-End Project: Apply all tools to build a complete data processing and analytics workflow.

🎯 Course Outcomes

By the end of this Big Data Master Online Training, you will be able to:

Understand the Big Data Testing and its core technologies.
Implement and manage Hadoop clusters for distributed data storage and processing.
Use MapReduce and Apache Spark for batch and real-time data analytics.
Query and manage big data master using Hive, Pig, and HBase.
Stream and process data using Kafka and Flume.
Work with NoSQL databases like MongoDB or Cassandra.
Integrate Big Data Master solutions with cloud platforms.
Build complete data pipelines and dashboards for analytics-driven insights.
Prepare for roles like Big Data Engineer, Data Analyst, or Hadoop Developer.

Big Data Master Training Course Syllabus

Introduction to Big Data Master

Overview of Big Data and Its Importance
Characteristics of Big Data (Volume, Velocity, Variety, Veracity, Value)
Traditional Data Processing vs. Big Data Processing
Big Data Use Cases Across Industries
Introduction to Hadoop Ecosystem

Hadoop Framework

Introduction to Hadoop and HDFS Architecture
Hadoop Components: NameNode, DataNode, Secondary NameNode
Hadoop Cluster Setup and Configuration
HDFS Commands and Data Loading
Fault Tolerance and Data Replication
Hadoop Administration and Troubleshooting

MapReduce Framework

Understanding MapReduce Programming Model
Writing MapReduce Programs in Java/Python
Input Formats, Output Formats, and Combiner Functions
Distributed Computing Concepts
Optimization and Performance Tuning

Apache Hive and Pig

Introduction to Hive Data Warehouse
HiveQL – Querying and Managing Structured Data
Creating Databases, Tables, and Partitions
Hive Functions and Optimization
Introduction to Pig and Its Data Flow Language
Pig Latin Scripts and UDFs

Apache HBase

Introduction to NoSQL Databases
HBase Architecture and Data Model
Working with HBase Shell and Java APIs
Integration of HBase with Hive and MapReduce

NoSQL Databases

Understanding NoSQL Database Types
Introduction to MongoDB and Cassandra
CRUD Operations and Indexing
Working with Unstructured and Semi-Structured Data

Big Data Master on Cloud

Deploying Hadoop/Spark Clusters on AWS or Azure
Working with Amazon EMR and Google Dataproc
Cloud Storage and Security Considerations
Big Data Integration with Cloud Services

Big Data Master Analytics and Visualization

Data Analysis with Spark SQL
Introduction to Data Visualization Tools (Tableau, Power BI)
Building Dashboards for Big Data Insights
Best Practices for Big Data Visualization

Big Data Master Course Key Features

Live Instructor based training with software
Certification Oriented content
Hands-on complete Realtime training
Flexible schedule demo's & classes
Live recorded videos access
Study material provided
JOB Assistance

Course completion certificate

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Big Data Master Online Training FAQ'S

What is Big Data, and what are its key characteristics?

Big Data refers to extremely large and complex data sets that traditional databases cannot handle efficiently. Its key characteristics, known as the 5 V’s, are:

Volume: Massive amounts of data generated every second.
Velocity: Speed at which data is generated and processed.
Variety: Different data formats — structured, semi-structured, and unstructured.
Veracity: Data accuracy and quality.
Value: Insights and business benefits derived from data.

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What are the main components of the Hadoop ecosystem?

The Hadoop ecosystem includes several components that work together to manage big data:

HDFS (Hadoop Distributed File System): Storage layer.
MapReduce: Processing layer for parallel computation.
YARN: Resource management layer.
Hive and Pig: Data analysis tools.
HBase: NoSQL database for real-time read/write.
Sqoop & Flume: Data ingestion tools.
Oozie: Workflow scheduler for job automation.

What is the difference between Hadoop and Spark?

Hadoop uses MapReduce for batch processing and stores data in HDFS. It is disk-based and slower.
Spark is a fast, in-memory processing framework suitable for real-time analytics and streaming.
Spark is often used alongside Hadoop for faster computations and advanced analytics.

What is the role of Apache Kafka in Big Data?

Apache Kafka is a distributed streaming platform used for real-time data ingestion and processing. It acts as a message broker between data producers and consumers.
Key uses include:

Stream processing of live data (e.g., IoT, logs, user activity).
Integration with Spark Streaming and Flume.
Ensuring data reliability with replication and partitioning.

What are some common Big Data challenges and how do you overcome them?

Challenges:
Handling large volumes of data efficiently.
Ensuring data quality and security.
Managing scalability and infrastructure costs.
Integrating multiple data sources.
Solutions:
Using distributed storage systems like HDFS.
Employing data governance and encryption for security.
Implementing cluster management and automation tools (e.g., YARN, Kubernetes).
Leveraging cloud-based Big Data solutions for scalability.

Reviews

    
 
 
         
   Tharak 
 
 
 
 Trustindex verifies that the original source of the review is Google. Excellent Experience. I would Recommend others to Join this course Oracle OTM & GTM.
  
 
        
   S I V A ROCK 
 
 
 
 Trustindex verifies that the original source of the review is Google. I recently completed the Oracle 19c DBA course at VISWA Online Trainings, and it was an excellent learning experience. The trainer explained every topic clearly with real-time examples and practical sessions. The hands-on labs helped me gain confidence in database administration. I highly recommend this course to anyone who wants to build a career as an Oracle DBA.
  
 
        
   Nikil 
 
 
 
 Trustindex verifies that the original source of the review is Google. The course was very well structured. I have taken Weblogic Admin Training. My learning journey was excellent at VISWA Online Trainings!
  
 
        
   Monica Benny 
 
 
 
 Trustindex verifies that the original source of the review is Google. I recently completed the Oracle Analytics Cloud (OAC) and Fusion Data Intelligence (FDI) training program with Viswa Training, and it has been an exceptional learning experience from start to finish.

The entire journey was well-supported. Chaithanya was extremely responsive, ensuring seamless coordination and assistance throughout the learning process.

The instructor brought a high level of expertise and depth to the classroom. Their extensive knowledge of the subject matter made complex analytical concepts easy to grasp and highly applicable to real-world scenarios.

Thanks to this structured curriculum and expert instruction, I now have a robust, comprehensive understanding of Oracle Analytics Cloud technology. Highly recommended for anyone looking to upskill in enterprise analytics!
  
 
        
   Manoj 
 
 
 
 Trustindex verifies that the original source of the review is Google. Oracle FDI Training....
Very good instructor. The instructor is well experienced and has clarity about the topics. He is very welcoming about new topics and suggestions. Also, Chaitanya/Viswa trainings is very accommodating about our availability. I would recommend Mahesh as FDI instructor and Viswa institute for professional trainings.
  
 
        
   A Ravi 
 
 
 
 Trustindex verifies that the original source of the review is Google. Good training with knowledgeable instructors and well-organized content. I would appreciate more practical sessions and assignments. Overall, a great learning experience.
  
 
        
   Venkat Nune 
 
 
 
 Trustindex verifies that the original source of the review is Google. Excellent teaching here, Administrative also very Good
  
 
        
   Nandini Pillipaka 
 
 
 
 Trustindex verifies that the original source of the review is Google. I got a job, just wanted to take a moment to thank you for the great training sessions you've provided. Your expertise and knowledge of the subject matter has been invaluable in helping me to understand and apply what I've learned. I got a good package.☺️
Thank you very much for a great training session. The program was enjoyable, and I learned a lot from it. You're the best trainer that I've ever worked with. Thank you Thank you so much aditya sir 🙏☺️☺️ I cleared my certification . Thank you so much from your wonderful supporting.
  
 
        
   krishna reddy 
 
 
 
 Trustindex verifies that the original source of the review is Google. Thanks to the knowledgable & approachable trainers of Viswa Technologies, the course helped me get promoted to Data Analyst from Quality Analyst with a 50% hike in salary!

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