Big Data Testing Training

Big Data Testing Training Course

The Big Data Testing Training Course helps students to understand Hadoop ecosystem in-depth, demonstrate how to determine the right data permutations, and sample sizes, know about the source-to-target mapping documents, how to find the proper mechanisms to test different business rule, apply and understand automation testing for Big Data Testing, and more through highly skilled experts.

Managers, Developers, Testers, and people who are interested in offering software quality for the Big Data Testing process can make use of the Big Data Testing course from Yuva Sakthi Academy. The students should possess basic SQL and RDBMS knowledge, and this can be quickly taken from our supportive workshops. With Yuva Sakthi Academy Big Data Testing course training , the students will be equipped with good experience in different proof of concepts implementations, different test case scenarios, and real-life industry-based scenarios.

About Big Data Testing Training Course

Big Data Testing training course from Yuva Sakthi Academy will make the students proficient in MapReduce concepts, shuffle and ordering, mapper and reducer functions, HDFS architecture, data replication, data node, name node, flow of data, Hadoop and Big Data Testing ecosystem, the workflow process of Big Data Testing, formulate, design and execute Big Data Testing test scripts, test cases, and test scenarios, deploy Pig for Big Data Testing analysis, and Hive for relational data analysis, unit testing of Big Data Testing mapper on MapReduce application and more through hands-on approaches, real-life case studies, industry-based scenarios.

The Big Data Testing training course also will make the students get a trainer for the ever-growing Cloudera Hadoop and make the students learn about the MRUnit framework for MapReduce job testing without Hadoop clusters.

Yuva Sakthi Academy provides high-value, relevant, and most updated real-world projects in the Big Data Testing training course curriculum so that the students can easily crack any stringent Big Data Testing s and job proposals. We provide different assignments and projects as a part of the Big Data Testing and training course that test the skills of students, get both theoretical and practical knowledge, and also make the students industry-ready.

The students will work on different projects in the domain of marketing, eCommerce, high-technology, insurance, banking, sales, and more. Completing the Big Data Testing training and course from Yuva Sakthi Academy means the students will hold the knowledge that a six month of Big Data Testing developer or tester posses.

Placement Assistance after Big Data Testing Training

As a part of the placement assistance program, each student will land their dream job quickly. We share the student’s resume with the tied-up recruiters. We help the students to prepare for different interview queries, resume building, conduct mock interviews, schedule interviews, and more. Yuva Sakthi Academy has a record of 99% placement in the last batch, and all students of Yuva Sakthi Academy have been placed in reputed companies like HCL, TCS, CTS, IBM, and more.

Upcoming Training Batches

Yuva Sakthi Academy provides flexible timings to all our students. Here is the Big Data Testing Training Course Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

Time	Days	Batch Type	Duration (Per Session)
8:00AM - 12:00PM	Mon - Sat	Weekdays Batch	4Hr - 5:30Hrs
12:00PM - 5:00PM	Mon - Sat	Weekdays Batch	4Hr - 5:30Hrs
5:00PM - 9:00PM	Mon - Sat	Weekdays Batch	4Hr - 5:30Hrs

Big Data Testing Training Syllabus

Download Curriculum

Introduction

Big Data and Bad Data
Characteristics of Big Data (3Vs)
Big Data Testing Vs. Traditional Database Testing
Tools used in Big Data Scenarios
Challenges in Big Data Testing

Testing Big data Systems

Big data Testing Strategy
Testing Steps in verifying Big Data Applications
Data Staging Validation
“MapReduce” Validation
Output validation Phase

Testing Methods, Tools, and Reporting

- For validation of Pre-Hadoop Processing
- For Hadoop MapReduce Processes
- For Data Extract and EDW Loading

Testing Methods, Tools and Reporting on Analytics

Four Big Data reporting strategies
Methodology for report testing
Apache Falcon

Performance and Failover Testing

Performance testing and Approach
Failover testing
Methods and tools
Jepsen

Infrastructure Setup, Design, and Implementation

Hardware selection for master nodes
Hardware selection for slave nodes
Infrastructure setup key points

Trainer Profile of Big Data Testing Training Course

Our Trainers provide complete freedom to the students, to explore the subject and learn based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates are free to ask any questions at any time.

Trained more than 2000+ students in a year.
Strong Theoretical & Practical Knowledge.
Certified Professionals with High Grade.
Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
Trainers have Experienced on multiple real-time projects in their Industries.

Big Data Testing Training Exams

Yuva Sakthi Academy is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.

Our at Yuva Sakthi Academy is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this in leading MNC’s of the world. The is only provided after successful completion of our training and practical based projects.

Key Features of Our Training Institute

One on One Teaching

Flexible Timing

Fully Practical Oriented Classes

Class Room Training

Online Training

Corporate Training

100 % Placement

Projects in Big Data Testing Training Course

Sales Pipeline Dashboard

Build a dashboard to get a clearer view of your sales pipeline and know where your leads are coming from, so that you can double down on your efforts there to meet your targets.

Sales Growth Dashboard

Build a dashboard to measure your sales team’s performance and how much revenue can be raised within a specific time frame.

Healthcare Data Dashboard

The Big Data Testing Training Healthcare Data dashboard for hospital managers to manage and identify patients’ risk from one screen.

Training Courses Reviews

I highly recommend the computer training institute for anyone who wants to improve their computer skills. The instructors are knowledgeable and patient, and they create a comfortable and supportive learning environment. The curriculum is well-structured and covers a range of topics, from basic computer operations to advanced programming languages.

TOM DINESH

*Right place to learn new technologies *Self motivated staffs ... *This institution is a good start for emerging youngster who has a passion in their life I have trained for core Java. It was very useful to learn java from basic level. *The trainers are knowledgeable and real time worked employees. I like this institutions be hope with us. You are really reached your goals....

Harish Arjunan

One of the best academy to easy learn tally prime from kalpana mam one to one teaching is very excellent ..,coaching is very good and motivational person are here ...great service and excellent teach and friendly staff, good environment and comfortable to learn easily Thank you for wonderfull guide mam. ....

Priya Mohan

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Frequently Asked Questions

What is Big Data Testing?

Big Data Testing is a specialized form of testing designed to validate the functionality, performance, and reliability of systems that manage and process large volumes of data. It involves testing various components and aspects of big data applications to ensure they meet business requirements and perform as expected under different conditions.

Key aspects of Big Data Testing include:

Data Ingestion Testing: Ensuring data is correctly ingested from various sources into the big data platform.
Data Processing Testing: Verifying the accuracy and efficiency of data processing algorithms and transformations.
Data Storage Testing: Validating the integrity, security, and scalability of data storage solutions such as Hadoop Distributed File System (HDFS) or NoSQL databases.
Data Integration Testing: Testing the integration and interoperability of different data sources and systems.
Performance Testing: Assessing the performance metrics such as speed, throughput, and resource utilization under varying loads.
Security Testing: Ensuring data privacy and protection measures are implemented effectively.
Scalability Testing: Evaluating the system's ability to handle increasing volumes of data without compromising performance.
Fault Tolerance Testing: Testing the system's resilience and ability to recover from failures or errors.

Big Data Testing requires specialized tools and techniques due to the complexity and scale of data involved. It plays a crucial role in ensuring the reliability and usability of big data applications in real-world scenarios.

What are the challenges in Big Data Testing?

Challenges in Big Data Testing include dealing with massive volumes of data, ensuring data accuracy across distributed systems, validating complex data transformations, managing real-time data streams, and maintaining performance under varying loads.

Moreover, ensuring data security and privacy, testing for fault tolerance, and verifying scalability are also critical challenges in Big Data Testing.

What are the common tools used in Big Data Testing?

Common tools used in Big Data Testing include Apache Hadoop for distributed processing, Apache Spark for real-time data processing, Apache Kafka for data streaming, HBase for NoSQL database testing, and tools like JMeter for performance testing and Selenium for automated testing.

Why is Big Data Testing important?

Big Data Testing is crucial because it ensures the reliability, accuracy, and performance of large-scale data processing applications. It helps in identifying and rectifying errors in data ingestion, processing, and integration, thereby ensuring the quality and integrity of data-driven insights and decisions.

What are the best practices for conducting Big Data Testing?

Best practices for Big Data Testing include defining clear testing objectives, using a combination of automated and manual testing approaches, creating realistic test scenarios, leveraging big data-specific testing tools, ensuring data security and compliance, and performing continuous testing and monitoring.

How does Big Data Testing contribute to business success?

Effective Big Data Testing ensures that data-driven insights are reliable and accurate, enabling better decision-making, improving operational efficiency, optimizing resource utilization, enhancing customer satisfaction, and ultimately driving business growth and profitability.

What are the career opportunities in Big Data Testing?

Career opportunities in Big Data Testing include roles such as Big Data Tester, Data Quality Analyst, Big Data Engineer, Test Automation Engineer specializing in Big Data technologies, and Quality Assurance Lead for big data applications in various industries.

What are the key skills required for Big Data Testing professionals?

Key skills for Big Data Testing professionals include proficiency in big data technologies like Hadoop, Spark, Kafka, and NoSQL databases, knowledge of data processing and transformation techniques, understanding of distributed computing principles, familiarity with testing frameworks and tools, analytical skills, and attention to detail.

How can companies benefit from implementing Big Data Testing?

Implementing Big Data Testing helps companies ensure the reliability, accuracy, and performance of their big data applications. It reduces the risk of errors and data inconsistencies, enhances data quality and integrity, improves decision-making based on data insights, and optimizes operational efficiency and resource utilization.

What are some common Big Data Testing tools and frameworks?

Common tools and frameworks used in Big Data Testing include Apache Hadoop for distributed data processing, Apache Spark for real-time analytics, Apache Kafka for data streaming, HBase and Cassandra for NoSQL database testing, JMeter and Gatling for performance testing, and tools like Selenium for automated testing of big data applications.

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Big Data Testing