• Scalability: One of the primary objectives of using Hadoop is to be able to process and store large amounts of data in a scalable and cost-effective manner. Hadoop’s distributed file system and processing framework allow for adding more nodes to the cluster to handle increasing amounts of data.
• Data processing: Hadoop’s MapReduce framework allows for processing large amounts of data in parallel, which can significantly reduce the time it takes to process data compared to traditional processing methods. This objective is especially important for organizations that need to analyze large amounts of data in real-time or near real-time.
• Fault tolerance: Hadoop’s distributed nature makes it highly fault-tolerant. Data is replicated across multiple nodes in the cluster, so if one node fails, the data is still available on other nodes. This objective is critical for organizations that need to ensure high availability and reliability of their data processing.
• Cost savings: Hadoop is an open-source framework, which means that it is free to use and can be run on commodity hardware. This objective is especially important for organizations that need to process large amounts of data without breaking the bank.
• Flexibility: Hadoop is a highly flexible framework that can be used to process various types of data, including structured and unstructured data. This objective is critical for organizations that need to be able to handle a variety of data types and formats.

Overall, the main objectives of using Hadoop for big data processing are to be able to handle large amounts of data in a scalable, fault-tolerant, cost-effective, and flexible manner.

• More than 55% of IT industries have been shifted to the cloud space and the numbers are expected to increase by over 25% in the future. And it has been predicted by Forbes that more than 80% of Enterprise Workloads will efficiently be handled through cloud technologies.

Unlike different disciplines, the salary of a Big Data Hadoop professional is usually 30 percent higher.

At the beginner level, you can earn up to $113K per annum.

Even with less than one year of experience, you will make around Rs.4, 80,000 in a year.

• Big Data Hadoop certified are high in demand and gaining significant traction in the US and Canada. People with years of experience can earn maximum of Rs. 1,800,000 per annum.

• No matter whether you are a fresher or an experienced professional, our Big Data Hadoop course will help you gain the relevant skills you required. If you are looking to start a career in the field of cloud, we will help you gain all essential skills and let you clear the global certification examination, too.

Establish yourself as a certified Big Data Hadoop professional and get hired by leading IT industries.

Clear the interview and gain all essential technical and communication skills.

Get a more than 30 percent hike in salary as a certified professional.

• On the course completion, attempt the Big Data Hadoop exam and clear it in the first attempt as we assure 100% clearance rate for our students.

• There’s no denying that Big Data Hadoop now become the future in today’s tech-dominating landscape. As most of the industries are aggressively adopting the best Big Data Hadoop solutions, the demand for skilled Big Data Hadoop professionals has been increased worldwide.
• The reasons behind the popularity of Big Data Hadoop are as follows:

A multitude of career benefits as an Big Data Hadoop professional

In-demand Big Data Hadoop skills

Placement Assistance

Beyond expected salaries

Best-in-class course content curated by leading industry practitioners.

• Hadoop Developer: The primary responsibility of a Hadoop developer is to design, develop and implement Hadoop applications. This role involves writing MapReduce jobs, Pig scripts, Hive queries, and other Hadoop ecosystem tools to process and analyze large data sets. Hadoop developers are also responsible for testing, debugging, and optimizing Hadoop applications.
• Hadoop Administrator: The primary responsibility of a Hadoop administrator is to install, configure, and maintain the Hadoop ecosystem. This role involves managing Hadoop clusters, monitoring cluster performance, and troubleshooting issues. Hadoop administrators also ensure data security, manage user access, and maintain the overall health of the Hadoop infrastructure.
• Big Data Architect: The primary responsibility of a big data architect is to design and implement big data solutions using Hadoop and other big data technologies. This role involves designing scalable and fault-tolerant Hadoop architectures, selecting appropriate Hadoop components, and integrating Hadoop with other systems.
• Data Analyst: The primary responsibility of a data analyst is to analyze data using Hadoop tools and technologies. This role involves developing data models, analyzing data using Hadoop MapReduce jobs, and generating reports using data visualization tools.
• Data Scientist: The primary responsibility of a data scientist is to use Hadoop tools and technologies to analyze and derive insights from large data sets. This role involves designing and implementing machine learning algorithms, developing predictive models, and generating insights from data.

Overall, the responsibilities of a big data Hadoop professional vary depending on the specific job role, but most roles involve working with large data sets and using Hadoop tools and technologies to process and analyze data.

• Top industry verticals:

Travel Industry, IT Sector, Healthcare and Medical Sector, Media & Entertainment, Banking & Finance, Transportation, Non-Profit Industries, eCommerce, Insurance Sector, etc.

• Top hiring companies:

IBM, NETFLIX, FEDEX, Infosys, American Express, etc.

• Benefits of getting trained with us:

Find yourself a more competent, confident, and knowledgeable resource.

Crack any interview with leading industries without any difficulty.

Start working in your dream company like a PRO.

See a drastic change in your communication skills.

• You will get a completion certification to validate your skills after the completion of Big Data Hadoop certification training. Also, you are likely to get recognized among top corporate giants. When it comes to enhancing your overall career, we endeavor to give the maximum support.

Our training certificate is globally accepted

Helps the learner to climb the professional ladder

It showcases credibility

Increases your earning potential

Makes you stand tall above the rest