Apache Hadoop Training Course
Sambodhi and Education Nest’s Apache Hadoop training is a comprehensive Big Data course designed by industry experts to provide you with in-depth knowledge of Hadoop and Spark modules, considering current industry job requirements. This industry-recognized certification course combines Hadoop developer, administrator, testing, and analytics with Apache Spark, preparing you to clear the Cloudera CCA175 Big Data certification. The course covers in-depth knowledge of the Hadoop Ecosystem tools such as HDFS, YARN, Map Reduce, Hive, and Pig. This Big Data program is entirely hands-on, allowing you to work on real-world projects to gain practical experience. Upon successful completion of the course, you will possess the knowledge and skills necessary to pursue a career as a Hadoop developer, administrator, tester, or analyst.
Application Deadline: Jun 30, 2023
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Sambodhi and Education Nest offer an Apache Hadoop Training Course designed to provide live project-based training. Participants can learn Apache Hadoop from industry experts with over 10 years of experience. The course is tailored to help aspiring candidates gain mastery in the skills and knowledge required to work with Hadoop, a powerful open-source framework for distributed storage and processing of large datasets. With a focus on practical applications, the instructors at Sambodhi and Education Nest have developed unique teaching styles that ensure a comprehensive learning experience. Participants will acquire in-depth understanding of Hadoop’s architecture, ecosystem components, data processing techniques, and data analysis using tools like MapReduce and Hive. By the end of the course, learners will be equipped with the expertise to tackle real-world Hadoop projects efficiently.
- 60 days of free Cloud Lab access worth ₹4000
- Live Online Classes starting on 15th Apr 2023
4.5
Instructor-led Apache Hadoop live online Training Schedule
May 15th – Weekend
SAT & SUN (5 Weeks) 08:30 PM to 11:30 PM (IST)
July 1st – Weekend
SAT & SUN (5 Weeks) 11:00 AM to 01:00 PM (IST)
Why enroll for Apache Hadoop Certificate Training Course?
The global Hadoop market size was valued at USD 17.19 billion in 2020 and is expected to grow at a compound annual growth rate (CAGR) of 13.5% from 2021 to 2028, according to Grand View Research.
High demand for Hadoop Developers in industries and MNCs due to increased adoption of Big Data technologies. Companies like Amazon, Google, Microsoft, and IBM actively hiring Hadoop Developers.
The average US salary for a Hadoop Developer is $92,000 per year, but can vary based on experience and location. Big Data Hadoop Developers earn an average of $135,000 per year, indicating potential salary growth.
Apache Hadoop Training Course Benefits
Sambodhi and Education Nest’s Apache Hadoop training offers many benefits, including access to numerous job opportunities in the Big Data and Analytics field. Top companies worldwide are actively recruiting Apache Hadoop professionals, making up skilling in this area a smart career decision. According to recent data, the global Hadoop-as-a-Service (HaaS) market was worth approximately USD 7.35 billion in 2019 and is expected to grow at a CAGR of 39.3%, reaching around USD 74.84 billion by 2026. By completing this course, you will be well-prepared to take advantage of these growing opportunities in the field of Big Data and Analytics.
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Why Apache Hadoop Certificate Training Course from Education Nest
Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Instant doubt clearing
Lifetime Access
- Course Access Never Expires
- Free Access to Future Updates
- Unlimited Access to Course Content
24x7 Support
- One-On-One Learning Assistance
- Help Desk Support
- Resolve Doubts in Real-time
Hands-On Project Based Learning
- Industry-Relevant Projects
- Course Demo Dataset & Files
- Quizzes & Assignments
- 1 Year subscription to LMS
Industry Recognised Certification
- Sambodhi & Education Nest Training Certificate
- Graded Performance Certificate
- Certificate of Completion
Scholarship And Fees
- Upto 50% Scholarship
- Availability of EMI payment
- International Payment options
Apache Hadoop Skills Covered
- Real-time Data Processing
- Functional Programming
- Spark Application
- Working with HDFS
- Batch Processing using Map Reduce
- Data Analysis using Pig
- Querying Big Data using Hive and HBase
- Workflow Scheduling using Oozie
Apache Hadoop Training Course Syllabus
- Introduction to Big Data & Hadoop
- 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: Map Reduce Framework
- Different Hadoop Distribution
- 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
- Traditional way vs Map Reduce way
- Why Map Reduce
- YARN Components
- YARN Architecture
- YARN Map Reduce Application Execution Flow
- YARN Workflow
- Anatomy of Map Reduce Program
- Input Splits, Relation between Input Splits and HDFS Blocks
- Counters
- Distributed Cache
- MR unit
- Reduce Join
- Custom Input Format
- Sequence Input Format
- Introduction to Apache Pig
- Map Reduce vs Pig
- Pig Components & Pig Execution
- Pig Data Types & Data Models in Pig
- What is 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
- Hive QL: Joining Tables, Dynamic Partitioning
- Custom Map Reduce 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
- HBase Data Model
- HBase Shell
- Hive Data Loading Techniques
- Apache Zookeeper Introduction
- ZooKeeper Data Model
- Zookeeper Service
- HBase Filters
- Spark Overview
- Spark Ecosystem
- Spark Components
- What is Scala?
- Why Scala?
- SparkContext
- Spark RDD
- What is Oozie?
- Oozie Components
- Oozie Workflow
- Scheduling Jobs with Oozie Scheduler
- Oozie Coordinator and Bundles
- Oozie Web Console
- Oozie for Map Reduce
- Hive in Oozie
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Why Enroll for “Apache Hadoop Training Course”
- Duration: 40 hours
- Level of effort: 4 hours per day
- Modality: Online with live classroom sessions and groups assignments
- Limited & partial scholarships available for candidates based on merit
- Discounts on course fees in case of institutional sponsorship, group enrolments, and for participants from grassroots organisations
- Training by corporate professionals and experts with 10+ years of experience in Data Science with Python training industry
- Language: English
- Requirements: access to laptop and internet
- Industry-relevant curriculum designed by industry experts
- 40 hours of instructor-led live virtual training on weekends
- 1-year subscription to enterprise-grade Learning Management System (LMS)
- Globally accredited recognition for students
- Availability of scholarships and EMI payment options
- Training on weekends to cater to working professionals
- Last date for application: 30th Jun 2023
- Commence date: TBA
Apache Hadoop Training Projects
Industry-Retail
In the retail industry, Apache Hadoop has emerged as a game-changer for managing and analyzing large volumes of data. Hadoop enables retailers to process diverse data types, including customer transactions, inventory records, social media data, and more. With Hadoop's scalability and fault-tolerant nature, retailers can efficiently store and process vast amounts of data, uncovering valuable insights to drive business decisions. Retailers leverage Hadoop to optimize supply chain management, personalize customer experiences, detect fraud, perform market basket analysis, and enhance pricing strategies. By harnessing the power of Apache Hadoop, retailers can gain a competitive edge by leveraging data-driven intelligence to improve operational efficiency, enhance customer satisfaction, and drive revenue growth.
Industry- IT
Apache Hadoop has emerged as a crucial technology in the IT industry, enabling organizations to handle and process massive volumes of data efficiently. With its distributed computing capabilities, Hadoop has revolutionized data storage and analysis. In the IT industry, Hadoop is widely used for a variety of projects. From data warehousing and business intelligence to machine learning and predictive analytics, Hadoop provides a scalable and cost-effective solution for handling complex data tasks. It empowers organizations to derive valuable insights from diverse data sources and make informed decisions. As the demand for data-driven solutions continues to rise, Apache Hadoop projects play a vital role in driving innovation and enabling businesses to unlock the full potential of their data.
Apache Hadoop Training Description
The Apache Hadoop course is designed to provide comprehensive training on this powerful open-source framework. Participants will gain practical knowledge and skills required to work with Hadoop for efficient storage and processing of large datasets. The course covers various aspects of Hadoop, including its architecture, ecosystem components, and data processing techniques using tools like MapReduce and Hive. Through hands-on exercises and real-world examples, participants will learn to harness the capabilities of Hadoop to tackle complex data challenges. Whether you are a data professional or an IT enthusiast, this course equips you with the expertise to leverage Apache Hadoop for impactful data analysis and decision-making in today’s data-driven world.
The objectives of the Apache Hadoop course can be summarized as follows:
- Understand the fundamentals of Apache Hadoop and its architecture.
- Learn to set up and configure a Hadoop cluster.
- Gain proficiency in using Hadoop Distributed File System (HDFS) for storing and managing large datasets.
- Acquire knowledge of various components in the Hadoop ecosystem, such as MapReduce, Hive, Pig, and HBase.
- Develop skills in writing and executing MapReduce programs to process and analyze data.
- Explore data ingestion techniques using tools like Sqoop and Flume.
- Learn to use Hive and Pig for data processing and querying.
- Understand how to integrate Hadoop with other technologies like Spark and Kafka.
- Gain hands-on experience by working on real-world Hadoop projects.
- Obtain the necessary skills to administer and monitor a Hadoop cluster effectively.
There are several reasons why learning the Apache Hadoop course can be beneficial:
Big Data Handling: Apache Hadoop is designed to handle and process large volumes of data efficiently, making it a crucial skill for professionals working with big data.
Career Opportunities: Hadoop skills are in high demand, and acquiring proficiency in Apache Hadoop can open up various job opportunities in fields like data analysis, data engineering, and big data consulting.
Scalability and Cost-effectiveness: Hadoop’s distributed computing model allows for easy scalability, enabling organizations to store and process data at a larger scale without significant infrastructure costs.
Data Analytics and Insights: Hadoop provides the tools and frameworks to perform complex data analysis and gain valuable insights from structured and unstructured data sources.
Industry Relevance: Hadoop is widely used in industries such as finance, healthcare, retail, and e-commerce, making it a valuable skill set for professionals in these sectors.
Integration with Other Technologies: Learning Hadoop opens doors to working with complementary technologies like Spark, Hive, and HBase, enhancing your capabilities in the data ecosystem.
Efficient Data Management: Hadoop’s distributed file system and data processing capabilities enable efficient storage, management, and retrieval of diverse data types.
Keeping Pace with Technology: As data continues to grow rapidly, staying updated with Hadoop and big data technologies ensures you can effectively handle and analyze data in today’s data-driven world.
Problem-solving Skills: Learning Hadoop encourages critical thinking and problem-solving abilities, enabling you to address complex data challenges and derive meaningful insights.
Future-proofing: With the increasing adoption of big data and analytics, knowledge of Hadoop ensures you are well-equipped for future technology trends and advancements in the field of data management and analysis.
Big Data analytics market is expanding globally, offering great opportunities for IT professionals. Our Hadoop Certification course prepares both fresher and professionals for certified Data Analytics jobs. It is best suited for:
- Graduates looking to build a career in Big Data Field
- Programming Developers
- Software Architects
- Testing professionals
- Data Analysts & Business Intelligence Professionals
- Data Engineers
- System Administrators
- DBAs and DB professionals
- ETL and Data Warehousing Professionals
- Mainframe professionals
- Project Managers
- Senior IT Professionals
The pre-requisites for the Apache Hadoop course may include the following:
Basic Knowledge of Programming: Familiarity with programming concepts and experience in at least one programming language such as Java, Python, or Scala is beneficial.
Understanding of SQL: A good understanding of SQL (Structured Query Language) will help in querying and manipulating data within Hadoop.
Fundamentals of Data Structures and Algorithms: Knowledge of data structures and algorithms will aid in understanding the underlying principles of Hadoop’s distributed computing framework.
Familiarity with Linux: Basic knowledge of Linux commands and shell scripting is advantageous as Hadoop primarily runs on Linux-based systems.
Database Concepts: Understanding database concepts, such as tables, schemas, and data manipulation, will provide a foundation for working with Hadoop’s data storage and processing components.
General Understanding of Big Data: Having a basic understanding of big data concepts, such as volume, velocity, and variety, will help in comprehending the need for technologies like Hadoop.
Familiarity with the Command Line Interface (CLI): Proficiency in using the command line interface will be useful for executing Hadoop commands and managing the Hadoop cluster.
Basic Knowledge of Distributed Systems: Having an understanding of distributed systems and their key principles will assist in comprehending the distributed nature of Hadoop’s architecture.
In addition to the mentioned courses, Sambodhi and Education Nest offer a range of other niche courses to cater to diverse learning needs. Some of the notable courses include:
Cassandra: Learn Cassandra, a highly scalable and distributed NoSQL database, to handle large amounts of data across multiple servers while ensuring high availability and fault tolerance.
Informatica: Gain expertise in Informatica, a leading data integration and management tool, to extract, transform, and load data from various sources, enabling efficient data integration and analysis.
Teradata: Master Teradata, a powerful analytics platform used by major organizations, to store, process, and analyze large volumes of data, enabling data-driven decision-making and business insights.
OpenShift: Explore OpenShift, a containerization platform developed by Red Hat, to build, deploy, and manage applications in a containerized environment, providing scalability and flexibility.
MongoDB: Discover MongoDB, a popular NoSQL database, and learn how to store, retrieve, and manage data in a flexible and scalable manner, empowering efficient data handling.
DevOps: Acquire skills in DevOps, a software development approach combining development and operations, to enhance collaboration, automate processes, and accelerate software delivery.
Data Science: Dive into the world of Data Science and learn techniques to extract insights from data, apply statistical analysis, and build predictive models to drive informed decision-making.
Salesforce: Develop expertise in Salesforce, a leading customer relationship management (CRM) platform, to manage customer data, automate sales processes, and optimize customer engagement.
WebLogic: Gain knowledge of WebLogic, an application server platform, to deploy, manage, and scale Java applications, ensuring efficient performance and high availability.
Agile using Scrum: Understand Agile principles and the Scrum framework, enhancing project management skills for efficient and adaptive project delivery.
These courses provide professionals with the opportunity to expand their skill set and stay relevant in the ever-evolving IT industry.
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Apache Hadoop Training FAQs
If you miss an online Apache Hadoop Training class, it’s important to reach out to the instructor or the support team of the online training platform you are using. They may be able to provide you with a recording or transcript of the missed class, so that you can catch up on what you missed. Alternatively, some platforms offer on-demand access to class materials, so you can go back and review the content on your own time. It’s always a good idea to try and make up the missed material as soon as possible, so that you don’t fall behind in your learning.
If you have queries after completing an online Apache Hadoop Training course, Education Nest training platforms offer some form of post-course support. This may include access to a dedicated support team, a community forum where you can ask questions and connect with other learners, or even one-on-one sessions with an instructor or coach. If you have specific questions or concerns related to the course material, you can reach out to the instructor directly or use the support channels provided by the platform. It’s always a good idea to clarify any doubts or questions you may have, as this will help to solidify your understanding of the material and ensure that you can apply what you’ve learned in a real-world context.
Apache Hadoop is an open-source framework designed to store, process, and analyze large volumes of data in a distributed computing environment. It provides a scalable and fault-tolerant solution for handling big data by distributing the data across multiple nodes in a cluster. Hadoop consists of two main components: the Hadoop Distributed File System (HDFS) for storing data across the cluster, and the MapReduce programming model for processing and analyzing the data in parallel. With its ability to handle massive amounts of data and its fault-tolerance features, Apache Hadoop has become a popular choice for big data processing and analytics in various industries.
The timing of when you get access to learning content after signing up for an online Apache Hadoop Training course will depend on the specific training platform you are using. In most cases, you should receive access to the learning content immediately upon signing up, or shortly after your payment has been processed. Some platforms may require you to complete an enrolment process or set up an account before you can access the content. It’s always a good idea to check the specific details of the course or platform you are using, as the timing and process may vary. If you are experiencing any issues accessing the learning content, you should contact the support team of the training platform for assistance.
Once you enrol in Apache Hadoop Training course, you will typically have access to the course material for as long as the course remains available on the platform. This means that you can revisit the material at any time, even after you have completed the course, and continue to learn and improve your skills. The benefit of lifetime access to the learning material is that it allows you to learn at your own pace and on your own schedule. You can review the content as many times as you need to fully understand the concepts and techniques covered in the course. Additionally, if you encounter a new challenge in your work or personal life, you can go back to the course material to find solutions and strategies to help you overcome the challenge. Having access to course material for a lifetime is a valuable benefit, as it allows you to continue to improve your skills and knowledge long after you have completed the course. So, if you are interested in improving your Communication skill, build confidence and want the flexibility to learn at your own pace, consider enrolling in Apache Hadoop Training course that offers lifetime access to the learning material.
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