Big Data Training in Chennai

Our Big Data training in Chennai course is crafted to provide an in-depth understanding of managing and analyzing large datasets using industry-leading tools like Hadoop, Spark, Hive, and more. Designed for both beginners and professionals, the course offers a perfect blend of theoretical knowledge and hands-on experience with real-world projects. Delivered by experienced trainers, it focuses on practical learning to ensure you’re job-ready. With flexible schedules, advanced learning resources, and career support, our program is ideal for anyone looking to excel in the field of Big Data analytics.

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Types of Training

Classroom Training

Online Training

Why Choose Trendnologies to Learn in Chennai?

Real-Time Experts as Trainers

Our courses are delivered by industry experts with extensive experience and deep knowledge in their fields. They provide real-world insights and practical skills to ensure you gain the expertise needed for success.

Comprehensive Curriculum

We offer a wide range of courses covering the latest technologies and industry trends. Our curriculum is designed to be both comprehensive and current, providing you with a solid foundation and advanced knowledge.

Hands-On Training

At Trendnologies, we emphasize practical, hands-on learning. Our training programs include real-world projects and case studies to ensure you can apply your knowledge effectively.

Flexible Learning Options

Choose from flexible learning formats, including Instructor-Led Live Online and Classroom Training. Our courses are designed to fit your schedule and learning preferences.

100% Placement Guarantee

We are committed to your career success. Our dedicated placement team provides resume building, interview preparation, and job placement assistance to help you secure your dream job.

Personalized Support

We provide personalized attention and support throughout your learning journey. Our instructors and support staff are always available to help you with any questions or challenges you may face.

Big Data Course Interview Questions & Answers

Big Data Hadoop Testing Specialization Program Interview Questions and Answers

Bigdata Administration, Specialization Program Interview Questions and Answers

Bigdata Hadoop, Spark Full Stack Program Interview Questions and Answers

Big Data Interview Questions and Answers

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START YOUR CAREER WITH BIG DATA CERTIFICATION COURSE THAT GETS YOU A JOB OF UPTO 15 TO 60 LACS IN JUST 60 DAYS!

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Course Price at

40,000

29,500 /- Only

If you have Three or more people in your training we will be delighted to offer you a group discount.

3 to 4 Peoples
10 % Discount
5 to 9 Peoples
15 % Discount
10+ Peoples
20 % Discount

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FAQ

Big Data refers to massive, complex datasets that require advanced technologies and methods to process, analyze, and extract insights. It’s commonly used in sectors like healthcare, finance, marketing, and more.

The 3 Vs are Volume (amount of data), Velocity (speed of data creation), and Variety (different data forms). Some add two more: Veracity (data accuracy) and Value (insight potential).

Big Data is collected from various sources like social media, IoT sensors, transactions, GPS, and logs from devices and systems.

Big Data provides insights that help organizations improve decision-making, customer experience, operational efficiency, and can drive innovation.

Tools include Hadoop, Apache Spark, Apache Kafka, NoSQL databases, and visualization tools like Tableau and Power BI.

Challenges include data storage, data integration, processing speed, data quality, privacy concerns, and skilled workforce requirements.

Big Data is stored in distributed storage systems like Hadoop Distributed File System (HDFS), NoSQL databases, and cloud storage solutions.

Hadoop is an open-source framework that allows distributed storage and processing of large data sets across

An AWS Data Engineer focuses on building and maintaining data infrastructure, including data lakes, ETL pipelines, and big data processing systems. They ensure the data is available, reliable, and optimized for analysis. On the other hand, a Data Scientist uses the data prepared by Data Engineers to build statistical models, perform advanced analytics, and derive insights using machine learning.

The demand for AWS Data Engineers is growing due to the increasing adoption of cloud-based solutions. Career prospects include roles such as:

Cloud Data Engineer
Big Data Engineer
Data Architect
ETL Developer
Cloud Solutions Architect

NoSQL databases are designed to store and manage unstructured or semi-structured data, which is common in Big Data. They support scalability and flexibility needed for handling large datasets.

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