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Prepare for the most coveted HDP Certifications

Access Big Data Hadoop labs from anywhere

Master Big Data Hadoop tools and technology

IIHT’s highly specialized Big Data Hadoop Course is meant for both students and working professionals. The course takes participants through the best tools for wrangling and analyzing big data. With no previous experience required, students will be given the opportunity to get hands-on experience with Spark and Hadoop frameworks, which are the most common in the industry. Students are trained in all the basic processes and specific components of the Hadoop Architecture, execution environment and software stack. During assignments, our industry expert mentors will guide you on the application of data science’s techniques and concepts like Map-Reduce which are used to solve the basic problems of big data.
The course promises to empower you to even be part of big data narratives for business making in organizations. The course participants get to work on labs for hands-on-training in real life projects that make them job ready. Blended learning methods increase interaction and participation of students increasing the learning pace.

 
Hadoop is a processing framework that manages data storage and processing for big data applications that run in cluster systems. This open source framework is the basis of a booming ecosystem of big data technologies that are mostly used to take care of advanced analytics initiatives that include data mining, predictive analytics and machine learning applications. It can handle all kinds of unstructured as well as structured data and this gives users more flexibility for processing, collecting and analyzing data than data warehouses and relational databases provide.
Hadoop was developed by creative thinking software engineers who figured that it was fast becoming popular for people to store and analyze datasets that are far bigger than what can be practically accessed and stored in a single physical storage device. In Hadoop, instead of having several physical storage devices that make it complicated to scan and analyze, we have several smaller devices that work parallel efficiently.

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Why is Hadoop booming?

Hadoop has seen consistent growth over the past few years. It’s flexible nature allows companies to modify or add to their data systems as the needs alter, making use of readily available parts from IT vendors of their choice at a low cost.

  • It is the most commonly used system for processing and storing data across any commodity hardware
  • It is inexpensive and off-the-shelf systems connected together when compared to expensive, tailored systems created just for the job in hand.
  • Over half of Fortune 500 companies use it!
  • Collaboration development between commercial users and volunteers is a key to Hadoop’s innovation. Modifications to Hadoop by companies like Google is exposed to the development community, and these versions are used for improving the official, latest product.
  • It is agile: Companies have the privilege to adjust and expand data analysis operations as the business grows.
  • Enthusiasm and support from the open source community makes it more accessible to everyone.

Why upskill to Big Data Hadoop?

A lot of companies are looking for trained Hadoop professionals, here is a gist of why you should upskill to Hadoop:

  • Hadoop professionals are in demand across domains: Candidates with a sound knowledge of the Hadoop ecosystem and have hands-on training are in high demand across industries like agriculture, energy, healthcare, retailers, media, government, utility, sports etc. They are predicted to be in demand always, if not growing.
  • The increasing number of jobs in Hadoop: The number 1. On the list of 10 most sought after big data skills is Hadoop. 6 million jobs are said to be created by the information economy, out of which a large number is Hadoop professionalsought-after the most sought after skill in the data industry! The increase in demand and acute shortage of Hadoop professionals makes it one of the most high paying IT profiles.
  • Technology Research Organization states that NoSQL and Hadoop are the fastest growing software and services technologies in the market.
  • Hadoop Market is expected to touch $99.31 billion by the year 2022, that is a growth of 42.1% as reported by Forbes

Why Big Data Hadoop at IIHT?

  • Master the basics and advanced: The topics covered are MapR Sqoop, Hadoop and Bigdata, oozie, zookeeper. Students can apply these tools and techniques in assignments immediately after learning them.
  • The topics that are covered in the course like Spark, Fume, deep learning etc. are not covered in most of the Big Data Hadoop courses and are usually made accessible in college levels only for masters or Ph.D students in top universities. Even there, they may not be given hands-on experience in a way that ut can be immediately used at work.
  • IIHT’s Big Data Hadoop faculty is involved with the industry with actual work experience in major challenging Hadoop projects.
  • The course is paced to suit the requirements of working professionals, employers as well as students. The course is divided strategically into blended learning methods of instructor led training sessions and self-study yet engaging methods like quizzes and assignments.
  • Students get to work on real-life like projects that gives them real world like work experience even before they bag their first Hadoop based job.
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What is a Cloud lab?

IIHT’s state-of-the-art lab facilities are browse accessed and all students are exposed to various scenarios they would encounter while working in the industry. This allows students to get hands-on training and make them job ready. Students can access IIHT’s lab via the Learning Management System from any location, any time, making it the perfect practise field. The blended learning method adopted by IIHT is easily the most powerful Labs are integrated into the learner’s dashboard and guarantees learners a hassle-free experience by not having to move another window.

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What do you get from IIHT’s blended learning module?

The unique one-of-its kind blended learning module has the following features:

  • Personalized learner homepage: There is a provision for students to use personalized dashboards that students can customize, view the status of the course material. Students can also compare their performances with their classmates’.
  • Catalog for recommended courses: View course catalog and sort levels.
  • Powerful search: Global search the entire Learning Management System of IIHT whenever you need.
  • Course Details: Learners get to view the details of the course like deadlines and upcoming project.
  • Prework: PDFs and documents to help you prepare for upcoming courses.
  • Core Content: Virtual classrooms, activities and assessments
  • Cloud Labs: Easy access to labs anytime, integrated within the Learning Management System.
  • Download Reference Materials: Learners can download reference materials from resources section any time
  • Fluidic Player: Learn at your own pace.
  • Allows students to take notes for revision
  • Gamification: Students can compete with one another to do better!
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FAQ's

After the completion of the Big Data Hadoop training, candidates are eligible to apply for a list of job positions, including:
• Big Data Architect
• Hadoop Developer
• Data Scientist
• Data Analyst
• Hadoop Administrator

Students learn various technologies and tools: Hadoop and Bigdata, MapR,Sqoop, Flume, Hbase, Oozie, and Zookeeper. Spark, Spark R, Flink, Kafka, Storm, and Kinesis are also covered.

Yes, of course! IIHT has an exclusive placement portal for its students, which provides placement assistance. Also, improve your English speaking and writing skills to enhance your employability and gain interview skills.

You get the opportunity to clear your doubts with the industry expert who is available to help you in our Learning Management System.

The course trains you to pass certification exams for:
HDPCD: HDP Certified Developer
HDPCA: HDP Certified Administrator