Big Data Hadoop Training Course -Placement and Certification
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Big Data and Hadoop Training in Coimbatore

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Learn from Certified Experts

  • Hands-On Learning in Hadoop.
  • Suitable for Beginners and Advanced Learners.
  • Delivered by 12+ Years of Hadoop Certified Expert.
  • 11412+ Students Trained, and 322+ Employing Clients.
  • Lifetime Access for Student’s Portal, Study Materials, Videos.
  • Next Hadoop Batch to Begin This Week – Enroll Your Name Now!

Price

INR18000

INR 14000

Price

INR 20000

INR 16000

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+91-7669 100 251

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Upcoming Batches

15-July-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

10-July-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

13-July-2024
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session

13-July-2024
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

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Have Cracked Their Dream Job in Top MNC Companies

Gain the Best Practices in Big Data Hadoop Course

  • Learn about the Hadoop ecosystem, its components, and the core concepts of distributed computing and big data processing.
  • Explore the architecture of Hadoop, including the Hadoop Distributed File System (HDFS) and the MapReduce programming model.
  • Dive into the MapReduce programming model and learn how to develop MapReduce jobs using Java or other programming languages.
  • Discover various techniques for ingesting data into Hadoop, such as using Hadoop CLI, Apache Flume for streaming data from relational databases.
  • Explore Apache Hive, a data warehousing tool built on top of Hadoop. Learn how to write HiveQL queries to analyze and manipulate data stored in Hadoop.
  • Discover how to set up, configure, and administer a Hadoop cluster. Understand the hardware and software requirements, optimize cluster performance, and high availability.
  • In Big Data Hadoop Course, Get hands-on experience with various tools and frameworks in the Hadoop ecosystem, such as Apache HBase for NoSQL database operations.
  • Study real-world use cases and practical applications of Hadoop in different industries, such as finance, healthcare, e-commerce, and social media.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

Course Objectives

Hadoop is still a solid career option as it is widely adopted in the industry for big data processing, and there is a demand for professionals with Hadoop skills.
  • Growing Demand
  • Big Data Industry
  • Various Industry Applications
  • Advanced Analytics
  • Job Roles
  • Hadoop Ecosystem
  • Increasing Demand
  • Big Data Explosion
  • Lucrative Salary Packages
  • Diverse Job Opportunities
  • Versatility and Transferable Skills
  • Rapid Technological Advancements
  • Introduction to Big Data
  • Introduction to Hadoop
  • Hadoop Distributed File System (HDFS)
  • MapReduce
  • Hadoop Cluster Setup and Configuration
  • Hadoop Data Ingestion
  • Data Transformation and Analysis
  • Hadoop Security
  • Real-world Use Cases
  • In-Demand Skill
  • Career Opportunities
  • Handling Big Data
  • Scalability and Flexibility
  • Cost-Effective Solution
  • Data Processing Efficiency
  • Advanced Analytics
  • Expanded Skill Set
  • Increased Career Opportunities
  • Competitive Advantage
  • Adaptability and Versatility
  • Industry Relevance
  • Professional Growth
  • Salary Growth
  • Continuous Learning and Development
Yes, you can learn Hadoop without prior coding experience, although familiarity with programming concepts will be helpful in understanding the concepts and writing MapReduce jobs.

How long would it take to learn Hadoop?

The time required to learn Hadoop varies based on your existing knowledge and learning pace, but typically it takes several months to become proficient in Hadoop and its ecosystem.

Will I Receive Enough Hadoop Practical Training?

The Hadoop course from ACTE includes practical training, ensuring that you gain hands-on experience in working with Hadoop tools and frameworks.

Is it worth learning Hadoop?

Learning Hadoop is worth it as it opens up career opportunities in big data analytics, allows you to work with large-scale datasets, and provides a solid foundation for working with other big data technologies.

Will Hadoop Training help me to get a job?

Hadoop training can significantly improve your job prospects in the big data analytics field by equipping you with in-demand skills and industry-relevant knowledge, increasing your competitiveness and opening doors to a wide range of job opportunities.
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Unlocking the Power of Big Data: Hadoop Big Data Course

A Hadoop Big Data course offers comprehensive training in the field of big data analytics, focusing on the utilization of Hadoop and its ecosystem to handle and analyze large-scale datasets. The course covers essential concepts like Hadoop Distributed File System (HDFS), the MapReduce programming model, and tools such as Apache Spark, Hive, and Pig. By combining theoretical knowledge with hands-on practical exercises, participants gain proficiency in tasks like data ingestion, transformation, querying, and analysis. The course emphasizes industry best practices, including security considerations and performance optimization techniques, ensuring that students learn how to efficiently manage and extract valuable insights from big data while maintaining data integrity.

Additional Info

Benefits of Learning the Big Data and Hadoop

Learning Big Data and Hadoop offers several significant benefits:

  • In-Demand Skills: Big Data and Hadoop talents are in high demand in the market. You get a valuable and in-demand skill set by studying these technologies, which boosts your marketability and opens up countless job prospects.
  • Handling Large-Scale Data: Handling Large-Scale Data: Big Data and Hadoop deliver the gadget and shape required to effectively deal with and technique massive amounts of facts. You can efficiently control and analyze records that traditional systems can also moreover fail to cope with this knowledge.
  • Advanced Analytics: Big Data and Hadoop facilitate state-of-the-art analytics strategies which encompass device-gaining knowledge of, predictive modeling, and records mining. You get the functionality to derive treasured insights and make facts-driven alternatives through reading that equipment.
  • Versatility and Integration: Big Data and Hadoop interface with a variety of equipment and frameworks inside the ecosystem, along with Apache Spark, Hive, and Pig. This adaptability allows you to work with various additives and make the most of their abilities for a giant type of records processing and evaluation jobs.
  • Career Opportunities: The increasing adoption of Big Data and Hadoop across industries has created a high demand for professionals with expertise in these areas. Learning Big Data and Hadoop significantly enhances your career prospects and opens doors to various job roles, such as Big Data Engineer, Data Analyst, Data Scientist, or Hadoop Administrator.
  • Scalability and Cost-Effectiveness: Big Data and Hadoop provide scalable solutions for handling large datasets. They can scale horizontally by adding more nodes to the cluster, accommodating data growth efficiently.
  • Continuous Learning and Growth: Big Data and Hadoop are part of a rapidly evolving field. By learning these technologies, you embark on a journey of continuous learning, staying updated with the latest advancements and trends in the big data analytics domain.
  • Solving Complex Problems: Big Data and Hadoop empower you to tackle complex data challenges. Whether it's processing real-time data, performing sentiment analysis, or building recommendation systems, Big Data Analytics

    , the skills acquired through learning Big Data and Hadoop equip you with the tools to address these challenges effectively.

The Future Advantages of Big Data Hadoop

  • Advanced records analytics: Big facts Hadoop will keep to play a crucial position in superior analytics techniques together with system mastering, artificial intelligence, and deep gaining knowledge of. These technologies will allow businesses to derive extra correct predictions and insights from their facts, leading to progressed decision-making.
  • Real-time information processing: The destiny of big facts Hadoop lies in its potential to handle actual-time data processing at scale. With the increasing influx of facts from assets consisting of IoT devices and social media, Hadoop will allow organizations to technique and examine data in real-time, enabling faster and extra proactive moves.
  • Enhanced records security: As the extent and sort of records continue to grow, making sure data safety becomes paramount. Hadoop's abilties, which include information encryption, access manipulate, and data protecting, will assist businesses defend sensitive records and make certain compliance with information privateness regulations.
  • Data governance and compliance: Big information Hadoop will evolve to offer better records governance and compliance features. Organizations can have extra robust equipment and frameworks to control facts first-class, metadata, lineage, and information lifecycle control, allowing higher records governance practices.
  • Integration with cloud computing: The destiny of large facts Hadoop will see tighter integration with cloud computing platforms. This integration will allow businesses to leverage the scalability and versatility of cloud infrastructure whilst harnessing the energy of Hadoop for huge-scale records processing and analytics.
  • Edge computing and Hadoop: With the rise of edge computing,where data is analyzed at the data source, Hadoop will find applications in distributed edge environments. This will enable organizations to process and analyze data at the edge, reducing latency and optimizing network bandwidth.
  • Data-driven decision-making at all levels: As big data Hadoop becomes more accessible and user-friendly, it will empower decision-makers at all levels of an organization to make data-driven decisions. From executives to frontline employees, everyone will have the ability to harness the power of data analytics and gain valuable insights.
  • Improved customer experiences: By leveraging big data Hadoop, organizations will gain deeper insights into customer behavior, preferences, and needs. This knowledge will enable them to deliver personalized experiences, targeted marketing campaigns, and tailored products and services, resulting in enhanced customer satisfaction and loyalty.
  • Predictive maintenance and IoT: Hadoop will continue to play a vital role in predictive maintenance initiatives powered by the Internet of Things (IoT). By analyzing IoT-generated data, organizations can detect equipment failures in advance, optimize maintenance schedules, and reduce downtime, leading to significant cost savings.
  • Collaboration and data sharing: Big data Hadoop will facilitate improved collaboration and data sharing among organizations. With secure data exchange platforms and interoperability frameworks, businesses can leverage shared data assets, fostering innovation, and driving industry-wide advancements.

Roles and Responsibilities of Big data and Hadoop

  • Data Engineer:
  • Designing, growing, and maintaining massive-scale facts processing structures the use of Hadoop and related technology.
  • Building facts pipelines and workflows to ingest, procedure, and remodel information from numerous sources.
  • Implementing facts fine checks and making sure records integrity.
  • Collaborating with records scientists and analysts to understand records necessities and optimize statistics fashions.
  • Performance tuning and optimization of Hadoop clusters for efficient information processing.
  • Troubleshooting and resolving problems related to information ingestion, processing, and storage.
    • Big Data Architect :
  • Creating scalable and dependable big data solutions with Hadoop and related technologies.
  • Creating data ingestion methodologies, storage structures, and data processing frameworks.
  • Evaluating and selecting appropriate big data tools and technologies.
  • Collaborating with cross-functional teams to translate business requirements into technology solutions.
  • Providing data security, privacy, and regulatory compliance.
  • Hadoop cluster performance optimisation and capacity planning.
    • Data Scientist:
  • Applying statistical and device getting to know strategies to research and extract insights from big volumes of facts.
  • Developing predictive models and algorithms to resolve enterprise problems.
  • Collaborating with stakeholders to identify relevant records resources and define statistics necessities.
  • Cleaning, reworking, and preprocessing statistics for evaluation.
  • Interpreting and imparting findings to stakeholders in a clean and comprehensible way.
  • Keeping up-to-date with the state-of-the-art improvements in statistics technological know-how and applying them to improve current models and methodologies.
    • Hadoop Administrator:
  • Installing, configuring, and maintaining Hadoop clusters and associated infrastructure.
  • Monitoring and optimizing cluster performance, potential, and resource usage.
  • Managing consumer access and safety permissions for Hadoop structures.
  • Troubleshooting and resolving issues related to cluster operations and performance.
  • Implementing backup and disaster restoration techniques for Hadoop systems.
  • Staying up to date with the contemporary Hadoop versions, patches, and security updates.
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    Key Features

    ACTE Coimbatore offers Hadoop 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.

     

    Curriculum

    Syllabus of Hadoop Training in Coimbatore
    Module 1:Understanding Big Data and Hadoop
    • Introduction to Big Data & Big Data Challenges
    • Limitations & Solutions of Big Data Architecture
    • Hadoop & its Features
    • Hadoop Ecosystem
    • Hadoop 2.x Core Components
    • Hadoop Storage: HDFS (Hadoop Distributed File System)
    • Hadoop Processing: MapReduce Framework
    • Different Hadoop Distribution
    Module 2: Hadoop Architecture and HDFS
    • Hadoop 2.x Cluster Architecture
    • Federation and High Availability Architecture
    • Typical Production Hadoop Cluster
    • Hadoop Cluster Modes
    • Common Hadoop Shell Commands
    • Hadoop 2.x Configuration Files
    • Single Node Cluster & Multi-Node Cluster set up
    • Basic Hadoop Administration
    Module 3: Hadoop MapReduce Framework
    • Traditional way vs MapReduce way
    • Why MapReduc
    • YARN Component
    • YARN Architectur
    • YARN MapReduce Application Execution Flo
    • YARN Workflo
    • Anatomy of MapReduce Progra
    • Input Splits, Relation between Input Splits and HDFS Block
    • MapReduce: Combiner & Partitione
    • Hands-on
    Module 4:Advanced Hadoop MapReduce
    • Counters
    • Distributed Cache
    • MRunit
    • Reduce Join
    • Custom Input Format
    • Sequence Input Format
    Module 5: Apache Pig
    • Introduction to Apache Pig
    • MapReduce vs Pig
    • Pig Components & Pig Execution
    • Pig Data Types & Data Models in Pig
    Module 6: Apache Hive
    • Introduction to Apache Hive
    • Hive vs Pig
    • Hive Architecture and Components
    • Hive Metastore
    • Limitations of Hive
    • Comparison with Traditional Database
    • Hive Data Types and Data Models
    • Hive Partition
    • Hive Bucketing
    Module 7: Advanced Apache Hive and HBase
    • Hive QL: Joining Tables, Dynamic Partitioning
    • Custom MapReduce Scripts
    • Hive Indexes and views
    • Hive Query Optimizers
    • Hive UDF
    • Apache HBase: Introduction to NoSQL Databases and HBase
    • HBase v/s RDBMS
    • HBase Components
    • HBase Architecture
    • HBase Run Modes
    • HBase Configuration
    • HBase Cluster Deployment
    Module 8: Advanced Apache HBase
    • HBase Data Model
    • HBase Shell
    • Hive Data Loading Techniques
    • Apache Zookeeper Introduction
    • ZooKeeper Data Model
    • Zookeeper Service
    • HBase Filters
    Module 9: Processing Distributed Data with Apache Spark
    • What is Spark
    • Spark Ecosystem
    • Spark Components
    • What is Scala
    • Why Scala
    • SparkContext
    • Spark RDD
    Module 10: Oozie and Hadoop Project
    • Oozie
    • Oozie Components
    • Oozie Workflow
    • Scheduling Jobs with Oozie Scheduler
    • Oozie Coordinator
    • Oozie Web Console
    • Oozie for MapReduce
    • Hive in Oozie
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    Show Less
    Need customized curriculum?

    Hands-on Real Time Hadoop Projects

    Project 1
    Customer churn analysis –Telecom Industry

    The project involves tracking consumer complaints registered on various Platforms.

    Project 2
    UBER Projects

    Determine dynamic pricing based on traffic congestion, Spark Streaming and Cassandra.

    Hadoop Job: Boost Your Career in Big Data Analytics

    Hadoop Job placement offers excellent career prospects, as organizations across industries seek professionals with Hadoop expertise to manage and analyze large-scale data.
    • Big Data Hadoop placement includes positions such as Hadoop developer, data engineer, data analyst, big data architect, and others.
    • As organisations attempt to manage and draw insights from massive amounts of data, there is a high need for experts with Big Data Hadoop capabilities.
    • Our placement offers excellent career prospects, as organizations across industries seek professionals with Hadoop expertise to manage and analyze large-scale data.
    • Placement in Big Data Hadoop allows people to work in a variety of businesses, addressing real-world data difficulties and helping to the success of various enterprises.
    • It allows you to work on significant projects that will allow you to apply your abilities to process and analyse massive datasets, draw relevant insights.
    • IBM, Accenture, Deloitte, Capgemini, Cognizant, and Wipro are some multinational corporations (MNCs) that leverage Hadoop technology for their business operations.

    Hadoop Certification: Mastering Big Data Analytics

    Big Data Hadoop certification is a professional certification that verifies your knowledge and skills in the field of Big Data. This certification will take you from the fundamentals to the advanced levels of Big Data Hadoop and will help you become a successful Hadoop Developer, Administrator, Data Scientist Professional, and so on in the field of Big Data. It will show you how to use Big Data Hadoop approaches to address interesting real-world data difficulties.

    • Enhanced Practical Knowledge
    • Career Advancement
    • Industry Recognition
    • Increased Earning Potential
    • Keeping Pace with Industry Trends
    • Cloudera Certified Data Engineer
    • Hortonworks Certified Apache Hadoop Developer
    • Understand the Exam Format
    • Review the Exam Syllabus
    • Study Relevant Resources
    • Practice Hands-on
    • Take Practice Exams
    • Join Study Groups or Forums

    Pursuing a Hadoop certification validates your expertise in handling big data, enhancing your career prospects in data engineering, data analysis, and related roles. It demonstrates your commitment to staying current with industry trends and equips you with the skills needed to tackle complex data challenges effectively.

    • Cloudera Certified Administrator for Apache Hadoop (CCAH)
    • Cloudera Certified Data Engineer (CCDE)
    • Cloudera Certified Data Analyst (CCDA)
    • Hortonworks Certified Apache Hadoop Developer (HDPCD)
    • MapR Certified Hadoop Developer (MCHD)
    • IBM Certified Data Engineer

    Big data Hadoop certificates are normally valid for two years. After the certification period expires, professionals are urged to renew their certificates by meeting specified requirements, such as enrolling in continuing education programmes or passing an update exam.

    Complete Your Course

    a downloadable Certificate in PDF format, immediately available to you when you complete your Course

    Get Certified

    a physical version of your officially branded and security-marked Certificate.

    Get Certified

    Hadoop Trainers: Empowering Big Data Success

    • Hadoop trainers play a crucial role in imparting knowledge and skills to individuals pursuing Big Data Hadoop courses.
    • They are experienced professionals who possess in-depth understanding and practical expertise in Hadoop and related technologies.
    • Our trainers provide comprehensive guidance and training to students, covering various aspects of Hadoop, including concepts, installation, configuration, and hands-on exercises.
    • Our trainers are well-versed in the Hadoop ecosystem, including tools like MapReduce, Hive, Pig, Spark, and HDFS, and can effectively teach the usage of these technologies in real-world scenarios.
    • Hadoop Training in Coimbatore, Our Trainers employ various instructional methods, such as lectures, hands-on labs, and case studies, to ensure a well-rounded learning experience for their students.
    • They not only focus on theoretical concepts but also emphasize practical application by providing real-world examples and use cases, how Hadoop can be applied to solve big data challenges.

    Hadoop 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
      ACTE Gives Certificate 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 Hadoop 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 Hadoop Course At ACTE?

    • Hadoop Course in ACTE is designed & conducted by Hadoop experts with 10+ years of experience in the Hadoop 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 Hadoop batch to 5 or 6 members
    Our courseware is designed to give a hands-on approach to the students in Hadoop. 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 ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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    Request for Class Room & Online Training Quotation

        Job Opportunities in Big Data

        More than 35% of Data Professionals Prefer Big Data. Big Data Is Widely Recognized as the Most Popular and In-demand Data Technology in the Tech World.

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