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Introduction to Big Data Course

In today's data-driven world, the importance of Big Data cannot be overstated. At Ducat India, we offer a comprehensive Big Data Course designed to equip you with the skills and knowledge necessary to excel in this rapidly growing field. Our Big Data Course is meticulously crafted to cater to both beginners and professionals looking to upgrade their skills.

What is Big Data?

Big Data refers to the vast volumes of data generated every second from various sources such as social media, sensors, digital images, and videos. This data is too complex to be processed by traditional data-processing software. Our Big Data Course at Ducat India covers the essential concepts and tools needed to manage, analyze, and extract valuable insights from these large datasets.

Big Data Course Syllabus

The Big Data Course syllabus at Ducat India is designed to provide a thorough understanding of Big Data technologies and practices. Here's a brief overview of what you'll learn:

Introduction to Big Data: Understanding the basics and significance of Big Data.

Big Data Technologies: Overview of Hadoop, Spark, and other Big Data tools.

Data Analysis: Techniques for ...

What you will learn?

Hadoop Ecosystem: You'll learn about various components of the Hadoop ecosystem such as HDFS (Hadoop Distributed File System), MapReduce, YARN (Yet Another Resource Negotiator), and how they work together to process and analyze large datasets efficiently.
Big Data Processing: Understanding how to design, develop, and deploy distributed computing applications using Hadoop for processing vast amounts of structured and unstructured data across clusters of commodity hardware.
Data Management: Techniques for managing and manipulating big data including data ingestion, cleansing, transformation, and storage optimization strategies tailored for Hadoop environments.
Advanced Analytics: Exploring advanced analytics tools and frameworks like Apache Hive, Pig, Spark, and HBase for performing complex data analysis tasks including machine learning, graph processing, and real-time stream processing.
Scalability and Fault Tolerance: Techniques for building scalable and fault-tolerant big data applications, including replication, data partitioning, and fault recovery mechanisms inherent in the Hadoop framework to ensure reliability and resilience in large-scale data processing workflows.

Skill you will gain

Big Data Handling
Hadoop Ecosystem
Data Analysis

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Apache Hadoop on AWS Cloud

Introduction to Amazon Elastic MapReduce AWS EMR Cluster AWS EC2 Instance: Multi Node Cluster Configuration AWS EMR Architecture Web Interfaces on Amazon EMR Amazon S3 Executing MapReduce Job on EC2 & EMR Apache Spark on AWS, EC2 & EMR

Learning Big Data and Hadoop

Common Hadoop ecosystem components Hadoop Architecture HDFS Architecture How MapReduce Framework works MR2 Architecture Hadoop YARN Hadoop 2.x core components

Hadoop Architecture and HDFS

Configuration files in Hadoop Cluster (FSimage & editlog file) Setting up of Single & Multi node Hadoop Cluster HDFS File permissions HDFS Installation & Shell Commands Secondary NameNode NameNode & DataNode Architecture Hadoop MapReduce Job Executing MapReduce Job

Hadoop MapReduce Framework

How MapReduce works on HDFS data sets MapReduce Algorithm MapReduce Hadoop Implementation Hadoop 2.x MapReduce Architecture MapReduce Components YARN Workflow MapReduce Combiners MapReduce Partitioners MapReduce Hadoop Administration MapReduce Use Cases on Data sets

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At DUCAT, we are committed to providing inclusive educational opportunities to a diverse range of learners. While the specific prerequisites may vary depending on the course, the following eligibility criteria generally apply to all our training courses:

Age Requirement: There is no minimum age requirements, however, some courses may have specific age requirements, which will be clearly mentioned in their respective descriptions.

Educational Background: Most courses are open to all; advanced courses may have prerequisites, as specified in the course details.

Language Proficiency: Proficiency in English is recommended for an optimal learning experience. Course-specific language requirements may apply; consult course details.

Technical Requirements: A reliable internet-connected computer or mobile device is essential. Specific software and hardware requirements are detailed in course descriptions.

Commitment to Learning: Active participation, completion of assignments, and discussion involvement are vital for course success.

Payment and Fees: Some courses may have associated fees or tuition costs. Please check the individual course details for information on fees, scholarships, and payment options.

Please note that individual courses may have additional or specific eligibility criteria based on their content and objectives.

At DUCAT, we believe that education should be accessible to everyone, and we strive to accommodate a wide range of learners.

If you have any questions or need further clarification regarding eligibility criteria for a particular course, our support team is available to assist you.

Online Training : Online training is the most convenient option, as you can enrol from anywhere in the world.

Offline Training : Offline training is the traditional option, where you visit the training centre in person. Corporate enrollment is available for companies that want to enrol their employees in the course.

Hybrid Training : Hybrid training is best as it is as per student comfort where students can take training in both online or offline mode.

Q: What is Big Data and why is it important?

A: Big Data refers to large volumes of data that can be analyzed for insights leading to better decisions and strategic business moves. It is important because it helps organizations improve operations, make faster decisions, and create new revenue streams.

Q: What are the prerequisites for enrolling in a Big Data course?

A: Basic knowledge of programming languages like Java or Python, and an understanding of SQL and databases are helpful. However, many courses, including ours, offer beginner modules to get you started.

Q: Are there any online options available for Big Data Hadoop training?

A: Our Big Data Hadoop training online free Tutorial program allows you to learn at your own pace from anywhere in the world. Yes There is no extra charges for Online course.

Q: How do I find Big Data Hadoop training near me?

A: Use our location search feature to find Big Data Hadoop training near me and locate the nearest training centers offering in-person classes.

Q: Is the Big Data Hadoop course suitable for beginners?

A: Absolutely. Our Big Data Hadoop training for beginners module is designed to cover the basics, ensuring that newcomers can easily grasp the concepts.

Q: What are the costs associated with a Hadoop course?

A: Course fees vary depending on the level and depth of the training. Our hadoop course fees are competitive and provide excellent value for comprehensive learning.

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Introduction to Big Data Course

What is Big Data?

Big Data Course Syllabus

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Skill you will gain

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