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BIG DATA MASTER

BIG DATA MASTER Course Content

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Course overview: A Big Data Master’s program is an advanced degree program that prepares students for careers in the rapidly growing field of Big Data. The program focuses on the technologies, tools, and techniques used for managing and analyzing large and complex datasets.

The program typically covers topics such as data storage and processing, data analysis, data integration and transformation, cloud computing, and emerging trends in Big Data. Students learn to use technologies such as Hadoop, Spark, NoSQL databases, and machine learning algorithms to process, analyze, and derive insights from large datasets.

The program is designed to provide students with a deep understanding of Big Data technologies, applications, and management, as well as the skills needed to work in the field of Big Data. Students may also have the opportunity to work on real-world projects, participate in internships, and collaborate with industry partners.

What are the prerequisites for learning BIG DATA MASTER ?

  • Anybody can take up this online training course and get trained in Big Data Master. 
  • Big data master Basics would be the ideal

About Techehost 

Techehost is designed to provide high-quality, flexible and accessible learning opportunities to help you develop the skills you need to advance your career or pursue your personal interests. We offer a range of courses, taught by industry experts, that cover a wide variety of topics and are designed to fit your schedule and learning style. Our online learning environment is user-friendly and allows you to interact with instructors and other learners in real-time, enabling you to get the support you need to succeed. Whether you’re looking to learn a new skill, enhance your knowledge or take your career to the next level, our online training website is the perfect place to start.

Introduction to Big Data

1
Overview of Big Data
2
Key characteristics of Big Data
3
Understanding the challenges of Big Data

Data Storage and Processing

1
Data storage systems (HDFS, NoSQL databases)
2
Data processing frameworks (MapReduce, Spark)
3
Distributed computing architecture

Data Analysis

1
Data mining techniques
2
Data visualization and exploration tools
3
Machine learning algorithms for Big Data analysis

Data Integration and Transformation

1
Extracting data from various sources
2
Data transformation and cleaning
3
Data integration techniques (ETL)

Big Data Technologies

1
Hadoop ecosystem (Hive, Pig, HBase, Mahout)
2
Spark ecosystem (Spark SQL, MLlib, GraphX)
3
Real-time data processing systems (Kafka, Storm)

Cloud Computing for Big Data

1
Cloud computing architecture (AWS, Azure, Google Cloud)
2
Cloud-based data storage and processing

1
Data security and privacy concerns in cloud-based environments

Big Data Applications

1
Big Data in healthcare, finance, retail, and other industries
2
IoT and Big Data
3
Big Data for predictive analytics and decision-making

Big Data Management

1
Big Data project management
2
Agile methodologies for Big Data projects
3
Team management and collaboration

Emerging Trends in Big Data

1
Edge computing and Big Data
2
Blockchain and Big Data
3
Quantum computing and Big Data

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Enrolled: 0 students
Duration: 20 hrs
Lectures: 27
Video: 20
Level: Intermediate
BIG DATA MASTER
Price:
₹8,000 ₹7,000
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