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Big Data Hadoop Administrator Certification Training

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29- Mar - 2023

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25- Mar - 2023

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Obtain Our Inventive Training From Big Data Hadoop Administrator Professionals

  • The goal of the training course is to provide high-quality instruction that combines excellent core knowledge of essential ideas with a hands-on approach.
  • Learners will be able to scale up their skills and undertake real-time projects using the industry standards after being exposed to current industrial use-cases and scenarios.
  • Through practical examples, ACTE's Hadoop Administration course will help you build competence in all the stages required to operate and administer a Hadoop Cluster.
  • You'll learn how to conduct sophisticated Hadoop admin tasks like cluster planning, installation, configuration, cluster setup, Kerberos, and more.
  • MapReduce, Sqoop, Oozie, Hive, Amazon EC2, Flume Scala, RDD, Spark framework, Spark Streaming, Machine learning with Spark, and a variety of other topics will be covered in this course.
  • You'll also get hands-on experience with several industry use cases and prepare for your certification exam during this training.
  • Certification boosts your career value, and certified data specialists are in high demand from global firms.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs


Course Objectives

While industry domain knowledge is important, becoming a certified Big Data Hadoop Administrator specialist means you can work in a variety of industries and are not restricted to just one. In a competitive talent market, staying relevant and adaptive is crucial. Professional development, increased salary, expanded career options, and the opportunity to upgrade to new technologies are just a few of the advantages of working as a Big Data Hadoop Administrator specialist. You will also work for a number of large corporations.
Here are some compelling reasons to enroll in Big Data Hadoop Administrator classes.
  • The Big Data Hadoop Administrator industry is expanding at a 33.5 percent compound annual growth rate (CAGR).
  • The Big Data Analytics Industry will be worth $20 billion in ten years, with Big Data and AI technologies accounting for half of it.
  • To collect, clean, organize the process and analyze data from a variety of sources in order to derive useful insights and data.
  • New data sources are being discovered, and tools for data mining, analysis, and reporting are being developed.
  • To extract data from the data warehouse, SQL queries will be required.
Here are the top ten Big Data Hadoop Administrator trends:
  • The average yearly salary for a qualified Big Data Hadoop Administrator is roughly $98,000. Depending on the level of experience, the pay may vary.
  • Many top companies have switched to Golang because of its extensive features and capabilities.
  • Developers of Big Data Hadoop and Spark have plenty of job opportunities right now, and their popularity is growing by the day.
  • In comparison to other IT professions, Big Data Hadoop Administrators earn a lot of money.
You will have the abilities necessary to help you attain your desired employment after completing the Big Data Hadoop Administrator certification course in cooperation with IBM.
  • Data Scientist/Big Data Scientist.
  • Technical Manager.
  • Program Manager.
  • Big Data/Hadoop Developer.
  • Product Engineer.
  • Big Data Lead Data Architecture.
A career in data analytics is not only a viable option but also one of the most popular in today's market. A Master's degree in Data Analytics can help you find a job in a range of sectors and organizations all around the world.
  • R programming.
  • Tableau Public.
  • QlikView.
  • RapidMiner.
  • KNIME.
  • Excel.
  • Apache Spark.
  • Splunk.
  • SAS.

What are the requirements for a job as a Big Data Hadoop Administrator?

Massive amounts of data are referred to as "big data." This is not the same as big data analytics. Big data analytics is concerned with using predictive models to get insights from previous events and, more crucially, future occurrences. Fundamentals of probability and statistics. Working knowledge of a programming language such as Python is required. Learn how to use an operating system from the ground up. Patience and desire to learn are required. While a typical data analyst may be able to function without becoming a full-fledged programmer, a big data analyst must be quite acquainted with coding.

Is it possible to learn Big Data Hadoop Administrator without having any previous programming experience?

Big Data Hadoop Administrator roles are well defined because Big Data Hadoop Administrator existed long before big data. Big Data Hadoop Administrators do not need sophisticated coding abilities, but they should be familiar with analytics tools, data visualization software, and data management software. The answer is a resounding “No.” There are a number of open-source tools available today that do not require programming skills and can be used by big data analysts to evaluate and study data quickly.

Will I be given sufficient hands-on experience as a Big Data Hadoop Administrator?

Our Big Data Hadoop Administrator courseware is designed to provide students a hands-on approach to the subject. The course consists of theoretical courses that teach the principles of each module, followed by high-intensity practical sessions that depict contemporary industry difficulties and needs, which will necessitate the completion of the course. This will need the time and dedication of the learners

Is learning Big Data Hadoop Administrator worthwhile?

Yes, Big Data Hadoop Administrator may be learned. The design of methods for recording, storing, and analyzing data in order to obtain meaningful information is known as data science. The goal of a Big Data Hadoop Administrator is to extract information and insight from any type of data, structured or unstructured.

Is it difficult to grasp the concepts of Big Data Hadoop Administrator?

No, being a Big Data Hadoop Administrator is not tough. The Big Data Hadoop Administrator framework is written in Java. Hadoop does not necessitate any prior Java knowledge. The server is an open software architecture that allows for the distributed storage and processing of very large data sets on computer clusters made of commodity
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Overview of Big Data Hadoop Administrator Certification Training

Learn to explain the enormous amount of data, both structured and unstructured, which flood a company every day. Start your career at Big Data Hadoop from ACTE the Best Institute. Big Data Hadoop Administrator Certification Course provides an in-depth insight into the technologies of the Hadoop Ecosystem. You may master the Hadoop topics and get ready for the Hadoop test through our Hadoop Certification course. Find out how different components of the Hadoop ecosystem fit into the large data processing lifecycle. Big data is a massive amount of data and Hadoop is an open-source Apache platform for applications running clusters. Without Large Data Hadoop training, you can learn very little about big data processing. Hadoop integrates big data into this course. You'll learn how. You will also be introduced to the application of Hadoop mapping and reduction processes and the Hadoop, Hadoop Stack, and HDFS. In accordance with these fundamental principles, Hadoop will take you to the Scoop, PIG, YARN, Impala, and Apache Hive platform technologies. The design of a real-world system can also be learned with Hadoop.

Additional Info

Introduction of Big data and Hadoop :

  • The big info is cited as if the field that treats to investigate and systematically extract information or manage info sets that area unit too large or advanced to treated by ancient process applications package. The huge info is larger and heaps of advanced info sets that's terribly from the new info sources. Info sets area units so voluminous that ancient info processes packages can’t manage them. Forms of vast info area unit PDFs, audios, videos, etc. Hadoop may be a framework that allows the person to first store vast info {in a|during a|in an exceedingly|in a terribly} very disturbing setting, therefore you will technique it parallels. There are unit two components in Hadoop, the first company in HDFS. This allows dumping any quiet info across the cluster. No second half is YARN (processing). This allows the processing of the knowledge that's held on in HDFS. Hadoop is used for – log method, Search info Warehouse, and Video and Image Analysis.

  • Vast info may be a field that treats ways in which to research, systematically extract information from, or otherwise manage info sets that area unit too large or advanced to be treated by ancient data-processing application package. Info with many fields gives larger applied mathematics power, whereas info with higher complexes (more attributes or columns) may end in a subsequent false discovery rate. Vast info analysis challenges embrace capturing info, info storage, info analysis, search, sharing, transfer, image, querying, updating, information privacy, and knowledge providers. Vast info was originally associated with three key concepts : volume, variety, and speed. The analysis of big info presents challenges in sampling, then antecedents material possession exclusively observations and sampling. Therefore, vast info sometimes includes info with sizes that exceed the potential of the associate package to technique among an applicable time and worth.

  • Current usage of the term vast info tends to take a seat down with the utilization of revelatory analytics, user behavior analytics, or positive various advanced info analytics methods that extract worth from vast info, and often to a particular size of the information set. "There is little doubt that the quantities of information presently offered area unit therefore big, but that's not the foremost relevant characteristic of this new info theme. Analysis of information sets can notice new correlations to "spot business trends, forestall diseases, combat crime therefore on". Scientists, business executives, medical practitioners, advertising, and governments alike times meet difficulties with big data-sets in areas in conjunction with internet searches, fintech, attention analytics, geographic information systems, urban science, and business science. Scientists encounter limitations in e-Science work, in conjunction with meteorology, genomics, connectors, advanced physics simulations, biology, and environmental analysis.


Roles and Responsibilities big data and Hadoop :

  • Manage and maintain Hadoop clusters for uninterrupted job
  • Check, back-up, and monitor the whole system, routinely
  • Ensure that the property and network are invariably up and running
  • Plan for capability upgrading or retrenchment as and once the necessity arises
  • Manage HDFS and make sure that it's operating optimally the least bit times
  • Secure the Hadoop cluster during a foolproof manner
  • Regulate the administration rights looking on the duty profile of users
  • Add new users over time and discard redundant users swimmingly
  • Take end-to-end responsibility of the Hadoop life cycle within the organization
  • Be the bridge between information Scientists, Engineers, and also the structure desires
  • Do in-depth demand analyses and solely opt for the work platform
  • Acquire full data of Hadoop design and HDFS
  • Have data of the agile methodology for delivering software system solutions
  • Design, develop, document, and designer Hadoop applications
  • Manage and monitor Hadoop log files
  • Develop Map Reduce cryptography that works seamlessly on Hadoop clusters
  • Have operating data of SQL, NoSQL, information storage, and DBA
  • Be Associate in Nursing professional in newer ideas like Apache Spark and Scala programming
  • Acquire complete data of the Hadoop system and Hadoop Common

Required Skills for Big Data and Hadoop :

1. Apache Hadoop :

There has been tremendous growth within the development of Apache Hadoop within a previous couple of years. Hadoop's elements like Hive, Pig, HDFS, HBase, Map Reduce, etc. square measure in high demand currently. Hadoop has entered its second decade currently however has mature in quality from the last 3-4 years. some software system firms square measure exploitation Hadoop clusters ordinarily. This can be beyond question the massive factor in big knowledge. The aspiring professionals shall become good during this technology.

2. NoSQL :

The NoSQL databases as well as Couch base, MongoDB, etc. square measure exchange the standard SQL databases like DB2, Oracle, etc. These distributed NoSQL knowledge bases facilitate meeting the large data storage and access wants. This enhances the experience of Hadoop with its knowledge crunching ability. The professionals with NoSQL experience will notice opportunities everyplace.

3. Knowledge Visualization :

The info visualization tools like QlikView, Tableau will facilitate in understanding the analysis performed by the analytics tools. The advanced massive knowledge technologies and processes dole out square measure robust to know, and this can be wherever the role of pros inherits the image. Knowledgeable well versed with knowledge visualization tools will get an opportunity to grow in their career with large organizations.

4. Machine Learning :

Data processing and Machine Learning square measure the 2 hot fields of massive knowledge. The landscape of massive knowledge is immense, these 2 create a crucial contribution to the sector. The professionals that may use machine learning for closing prognostication and prescriptive analysis square measure scarce. These fields will facilitate in developing a recommendation, classification, and personalization systems. The professionals with the information of information mining and machine learning square measure heavily paid yet.


Tools of Big Data and Hadoop :

  • HDFS :

    Hadoop Distributed classification system, that is usually called HDFS is intended to store an outsized quantity of knowledge, this is kind of tons a lot of economical than the NTFS (New kind classification system) and FAT32 File System, that are employed in Windows PCs. HDFS is employed to cater giant chunks of knowledge quickly to applications. Yahoo has been exploitation the Hadoop Distributed classification system to manage over forty petabytes of knowledge.

  • HIVE :

    Apache, which is usually acknowledged for hosting servers, has gotten their resolution for Hadoop’s information as Apache HIVE knowledge warehouse computer code. This makes it simple for the US to question and manage giant datasets. With HIVE, all the unstructured knowledge is projected with a structure, and later, we will question the info with SQL like language called HiveQL. HIVE provides completely different storage sorts like plain text, RCFile, Hbase, ORC, etc. HIVE conjointly comes with intrinsical functions for the users, which may be wont to manipulate dates, strings, numbers, alternative, and several other varieties of data processing functions.

  • NoSQL :

    Structured question Languages are in use for a protracted time, currently because the knowledge is generally unstructured, we tend to need a question Language that doesn’t have any structure. this can be resolved in the main through NoSQL. we've got primarily key combined values with secondary indexes. NoSQL will simply be integrated with Oracle information, Oracle billfold, and Hadoop. This makes NoSQL one in all the wide supported Unstructured source languages.

  • Mahout :

    Apache has conjointly developed its library of various machine learning algorithms that are thought of as the driver. the driver is enforced on prime of Apache Hadoop and uses the MapReduce paradigm of BigData. As we tend to all comprehend the Machines learning various things daily by generating knowledge supported by the inputs of a distinct user, this can be called Machine learning and is one of all the essential elements of computing. Machine Learning is commonly wont to improve the performance of any explicit system, and this majorly works on the result of the previous run of the machine.

  • Avro :

    With this tool, we quickly get representations of complicated knowledge structures that are generated by Hadoop’s MapReduce rule. Avro knowledge tool will simply take each input and output from a MapReduce job, wherever it also can format a similar in an exceedingly abundant easier means. With Avro, we will have period categorization, with simply apprehensible XML Configurations for the tool.


Features of Big Data and Hadoop :

1. Brings Flexibility In information Processing :

One of the largest challenges organizations have had therein past was the challenge of handling unstructured information. Let’s face it, solely two-hundredth of information in any organization is structured whereas the remainder is all unstructured whose price has been for the most part unnoticed thanks to lack of technology to investigate it. Hadoop manages information whether structured or unstructured, encoded or formatted, or the other sort of information. Hadoop brings the worth to the table wherever unstructured information may help decide the process.

2. Is Easily scalable :

This is a large feature of Hadoop. It's AN open supply platform and runs on industry-standard hardware. That creates Hadoop's extraordinarily scalable platform wherever new nodes may be simply added within the system as and information volume of process desires grows while not sterilization something within the existing systems or programs.

3.Is Fault Tolerant :

In Hadoop, the information is kept in HDFS wherever data mechanically gets replicated at 2 alternative locations. So, even though one or 2 of the systems collapse, the file continues to be obtainable on the third system a minimum of. This brings a high level of fault tolerance. The extent of replication is configurable and this makes Hadoop an implausibly reliable information storage system. This means, even though a node gets lost or goes out of service, the system mechanically reallocates work to a different location of the info and continues the process.

4. Is nice At quicker processing :

While ancient ETL and batch processes will take hours, days, or maybe weeks to load giant amounts of information, the requirement to investigate that information in the period is changing into the essential day when a day. Hadoop is extraordinarily smart at high-volume execution thanks to its ability to try multiprocessing. Hadoop will perform batch processes ten times quicker than on one thread server or the mainframe.

5.Ecosystem Is Robust :

Hadoop includes a sturdy scheme that's like-minded to fulfill the analytical desires of developers and tiny to massive organizations. Hadoop scheme comes with a collection of tools and technologies creating an awfully a lot of appropriate to deliver to a spread of knowledge process desires. Just to call a couple of, Hadoop scheme comes with comes like MapReduce, Hive, HBase, Zookeeper, HCatalog, Apache Pig, etc. and plenty of new tools and technologies are being else to the scheme because the market grows.

6. Hadoop is extremely value Effective :

Hadoop generates value edges by transportation massively parallel computing to goods servers, leading to a considerable reduction within the value per TB of storage, which successively makes it affordable to model all of your information. Apache Hadoop was developed to assist Internet-based firms to handle prodigious volumes of knowledge, consistent with some analysts.


Integration module of big data and Hadoop :

The speedy emergence of Hadoop is driving a paradigm shift in however organizations ingest, manage, transform, store and analyze massive information. Deeper analytics, larger insights, new products and services, and better service levels square measure all attainable through this technology, facultative you to cut back prices considerably and generate new revenues. massive information and Hadoop come to rely on assembling, moving, reworking, cleansing, integrating, governing, exploring, and analyzing huge volumes of various forms of information from many alternative sources. Accomplishing all this needs a resilient, finish-to-finish info integration answer that's massively climbable and provides the infrastructure, capabilities, processes, and discipline needed to support Hadoop comes. an efficient massive information integration answer delivers simplicity, speed, measurability, practicality, and governance to supply expendable information from the Hadoop swamp. while not effective integration, you get “garbage in, garbage out”—not a decent instruction for trusty information, abundant less correct and complete insights, or transformative results.


Certification of big data and Hadoop :

The large information Hadoop certification employment is meant to convey to you Associate in Nursing in-depth data of the big information framework exploitation Hadoop and Spark. throughout this active Hadoop course, you will execute real-life, industry-based comes exploitation Integrated work. large information Hadoop certification employment on-line course is best fitted thereto, Information Management, and Analytics professionals attempting to realize expertise in large information Hadoop, in conjunction with package Developers and designers, Senior IT professionals, Testing and Mainframe professionals, Business Intelligence professionals, Project Managers, Aspiring information Scientists, Graduates attempting to begin a career in large information Analytics. Professionals entering into large information Hadoop certification employment have to be compelled to have a basic understanding of Core Java and SQL. If you'd prefer to brush up your Core Java skills, easy learn offers a complimentary self-paced course Java wants for Hadoop as a neighborhood of the course program.


Payscale for big data and Hadoop :

Hence, in an exceedingly non-marginal role, BigData and Hadoop Developer an average remuneration is concerning eight.5lacs. Moreover, a manager will earn up to 15Lcas. This remuneration varies from skill to skills. If an individual is competent then they need a better pay scale and that they might get a twenty-fifth hike in their salaries.

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Key Features

ACTE offers Big Data Hadoop Administrator Training in more than 27+ branches with expert trainers. Here are the key features,
  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.


Syllabus of Big Data Hadoop Administrator Certification Training
Module 1: Course Introduction
  • Lesson 01 - Big Data and Hadoop - Introduction
  • Lesson 02 - HDFS Hadoop Distributed File System
  • Lesson 03 - Hadoop Cluster Setup and Working
  • Lesson 04 - Hadoop Configurations and Daemon Logs
  • Lesson 05 - Hadoop Cluster Maintenance and Administration
  • Lesson 06 - Hadoop Computational Frameworks
  • Lesson 07 - Scheduling: Managing Resources
  • Lesson 08 - Hadoop Cluster Planning
  • Lesson 09 - Hadoop Clients and Hue Interface
  • Lesson 10 - Data Ingestion in Hadoop Cluster
  • Lesson 11 - Hadoop Ecosystem ComponentsServices
  • Lesson 12 - Hadoop Security
  • Lesson 13 - Hadoop Cluster Monitoring
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Get Hands-on Knowledge about Real-Time Big Data and Hadoop Administrator Projects

Project 1
Credit Scoring Project

The goal is to assess the scope of making use of Logistic Regression and numerous Data Minging strategies in Credit Scoring facilitating higher selection making to Reduce the Risk.

Project 2
Tourist behaviour analysis Project.

This Analysis Project pursuits to layout and compare a massive information analytics approach to guide strategic selection-making in tourism vacation spot management.

Project 3
Anomaly detection in cloud servers Project

An anomaly detection set of rules primarily based totally on SOM for the Cloud platform with large-scale digital machines and outcomes confirmed sturdy enhancements in detection accuracy and speed.

Project 4
Big Data for Cybersecutity Project

Big information analytics in protection includes the cappotential to accumulate large quantities of virtual statistics to analyze, visualize and draw insights which can make it viable to predict.

Our Esteemed Hiring Partner for Placements

ACTE offers assistance in placement is probably the best help after successful completion of any course at our institute, we help the trained to find their imagination position by offering placement options. Some of our students work in these companies listed below.
  • Our applicants are hired and placed at various technology giants and multinational companies such as Wipro, Google, Accenture, IBM, Microsoft, Cognizant, and many more.
  • Our free resume writing aid ensures that our trainees receive a lot more feedback from recruiters and bring them closer to their dream job.
  • We also make learning and reading materials available to our students online so that our applicants can access them anytime, anywhere.
  • We even plan practice exercises and aptitude tests for our candidates so that we can assess their progress.
  • We tend to ensure that our students stay engaged and that their overall learning experience is flexible, convenient, and productive.
  • Our enough pressure goes into improving presentation skills/persuasiveness along with other technical inputs so that our students are strong contenders for any hiring.

Get Certified By Big Data Hadoop Administrator & Industry Recognized ACTE Certificate

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

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Our Highly Capable Big Data Hadoop Administrator Training Mentors

  • Our highly qualified and talented Big Data and Hadoop Administrator Certification Training instructors have more than 9 years of experience in their respective fields.
  • Our trainer's experience in training enabled our applicants to become Certified Big Data and Hadoop Administrators.
  • The unsurpassed professional experience of our lecturers is based on years of experience in creating an excellent training environment that supports the students in creative problem solving and teamwork.
  • Our ACTE Big Data and Hadoop Administrator Certification Training have been awarded several prizes and recognitions for the quality that the software testing training brings to our applicants here.
  • The experience of our trainers will help our students gain the confidence and skills they need to be successful in business.
  • Our experts have industry and practical experience in software testing, who not only train our apprentices, but also work in companies.

Big Data Hadoop Administrator Certification Course Reviews

Our ACTE Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.



I underwent Big Data Hadoop Administrator training in ACTE, Porur. The training session was good. My tutor Mr.Anbu have been outstanding. I liked the sessions taught by him who is an experienced faculty. Each and every topic is explained very clearly. Materials provided by him were useful. He is really good with his training and has the best content with him for the training which is really useful for a fresher like me to learn.

Dinesh Karthik


Good Institute for getting your basics right in any course, Thanks to Prabhu sir for training me for Big Data Hadoop Administrator has around 10+ years of experience in Big Data Hadoop Administrator and covers all the real time scenario's in the classes



I have enrolled for Big Data Hadoop Administrator course in ACTE, Chennai It is a very nice experience. Trainer is very good and talented. All the concepts are thoroughly explained by the time you don't understand. Facilities are good. There is the provision of paying fees in instalment. Hence overall it's nice to choose



It was a great learning experience in ACTE, Banglore. The entire course structure designed for its students, the teaching methodology, as well as placement assistance, is really good. ACTE helped me a lot to get my first job. Had a wonderful opportunity to learn under the guidance of dedicated faculty team headed and gain knowledge in the field of Big Data Hadoop Administrator . I would recommend ACTE to people who are interested to learn Big Data Hadoop Administrator .



Very motivational environment. Best way to teach. Really appreciate the efforts they put from there side to increase the knowledge and development of students. Thanks, ACTE

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Big Data Hadoop Administrator Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    • Gives
    • For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Big Data Hadoop Administrator training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Big Data Hadoop Administrator Course At ACTE?

  • Big Data Hadoop Administrator Course in ACTE is designed & conducted by Big Data Hadoop Administrator experts with 10+ years of experience in the Big Data Hadoop Administrator domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Big Data Hadoop Administrator batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Big Data Hadoop Administrator . The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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