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Big Data Hadoop Certification Training

CertOcean's Big Data Hadoop training is a live, instructor-led online course. You learn in 18 live sessions (30 hours in total) with an expert instructor, work through 10 curriculum modules and keep lifetime access to the class recordings.

  • 30 hoursLive training
  • 18 sessionsWith an instructor
  • 10 modules99 topics
  • Mon, Oct 26Next batch
HADOOP ApacheLive instructor-led training
$439 $499 One-time · USD
You save$6012% off
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Course overview

About the Big Data Hadoop training

Big Data Hadoop training teaches you to store and process very large datasets across clusters of computers with Apache Hadoop and its ecosystem tools.

Why take Big Data Hadoop training?

  • Big data and analytics remain among the largest areas of business IT spending.
  • Large organizations in retail, banking, aviation and telecom run Hadoop-based data platforms.
  • Hadoop skills are a strong foundation for well-paid data engineering roles.

This course includes

  • Instructor-led live sessions30 hours of live online classes. Weekend batch: 10 sessions of 3 hours each. Weekday batch: 15 sessions of 2 hours each.
  • Real-life case studiesWork on a live project based on a real use case, applying the big data concepts from the course.
  • AssessmentsEvery class is followed by a quiz to check your learning.
  • Lifetime accessKeep lifetime access to the LMS, including slides, quizzes, installation guides and class recordings.
  • 24/7 expert supportOur support team is available 24x7 to answer technical questions through a ticket-based system, for life.
  • CertificationComplete the final project to receive CertOcean's Big Data Expert certificate.

What you'll learn in this course

  • Understand big data and the Hadoop architecture, including HDFS
  • Process data with the Hadoop MapReduce framework
  • Analyze data with Apache Pig and Apache Hive
  • Store and query data in Apache HBase
  • Process distributed data with Apache Spark
  • Schedule Hadoop workflows with Oozie and build a Hadoop project

What is Big Data Hadoop certification training?

Big Data Hadoop certification training is a course that teaches you Apache Hadoop, the open-source framework for storing and processing big data. Hadoop stores data across many machines in a distributed, fault-tolerant way and processes it in parallel on HDFS, the Hadoop Distributed File System.

Organizations collect huge amounts of data about their business and customers, so they need people who know the Hadoop ecosystem and its best practices. CertOcean's course gives you rich hands-on experience with that ecosystem.

What are the objectives of Hadoop training?

Industry experts designed this Hadoop course to make you a big data practitioner. After completing it, you will have:

  • In-depth knowledge of big data and Hadoop, including HDFS, YARN and MapReduce
  • In-depth knowledge of Hadoop ecosystem tools such as Pig, Hive, Sqoop, Flume, Oozie and HBase
  • The ability to ingest data into HDFS with Sqoop and Flume and analyze large datasets stored there
  • Hands-on experience with industry projects in CertOcean CloudLab
  • Experience with datasets from banking, telecom, social media, insurance and e-commerce
  • Close guidance from a Hadoop expert on industry standards and best practices

Why take Big Data Hadoop training?

Big data has transformed how modern businesses work, and Hadoop training lets you take part in that change. This course is built around current industry needs and gives you both a strong understanding of the theory and practice on real-time big data projects. Guidance from a Hadoop expert in live sessions helps you solve the problems you will meet on the job.

What skills will you learn in Hadoop training?

After completing Big Data Hadoop training, you will be able to:

  • Work with Hadoop storage and resource management using HDFS and YARN
  • Understand the MapReduce framework and build business solutions with it
  • Ingest data with Sqoop and Flume
  • Perform ETL and data analysis with Pig and Hive
  • Use partitioning and bucketing in Hive
  • Understand HBase, Hadoop's NoSQL database, and integrate it with Hive
  • Schedule jobs with Oozie
  • Apply Hadoop development best practices
  • Understand Apache Spark and work with RDDs
  • Work on a real big data analytics project and a live Hadoop cluster

Who should take Big Data Hadoop training?

Freshers and professionals in these roles can take this Hadoop course:

  • Software developers and project managers
  • Software architects
  • ETL and data warehousing professionals
  • Data engineers
  • Data analysts and BI professionals
  • DBAs and database professionals
  • Senior IT professionals
  • Testing professionals
  • Mainframe professionals
  • Graduates who want a career in big data

How does Hadoop training help your career?

Hadoop training helps you move into data engineering and big data roles. More and more companies need people who can store and process large datasets and turn them into useful insights, and Hadoop skills show you can do that.

What are the prerequisites for Hadoop training?

There are no formal prerequisites for this Hadoop course. Knowledge of core Java and SQL helps.

How do the hands-on Hadoop practicals work?

You do all assignments and projects in your CloudLab environment. The access details are in your LMS.

What is CloudLab?

CloudLab is a cloud-based Hadoop and Spark environment that CertOcean provides for class demos and projects. It saves you the time and trouble of installing and maintaining Hadoop or Spark on a virtual machine. You open CloudLab in your browser, with no hardware setup needed.

What are the system requirements for Hadoop training?

There are no special system requirements. The practice environment is ready in CloudLab, so any computer with a browser and a good internet connection works.

What projects are included in Hadoop training?

CertOcean's Hadoop course includes eight real-time projects from different industries. They prepare you for the kind of work you will do in big data and Hadoop jobs.

Curriculum

Big Data Hadoop course syllabus

10 modules · 99 topics · 30 hours of live training

Understanding Big Data and Hadoop 9 topics
  • Learning goal: Understand what big data is, the problems of traditional systems, and how Hadoop solves them.
  • Introduction to big data and its challenges
  • Limits of traditional architecture and how big data solves them
  • Hadoop and its features
  • The Hadoop ecosystem
  • Hadoop core components
  • Hadoop storage: HDFS
  • Hadoop processing: the MapReduce framework
  • Hadoop distributions
Hadoop Architecture and HDFS 9 topics
  • Learning goal: Learn the Hadoop cluster architecture and basic administration.
  • Hadoop cluster architecture
  • Federation and high availability
  • A typical production Hadoop cluster
  • Hadoop cluster modes
  • Common Hadoop shell commands
  • Hadoop configuration files
  • Building single-node and multi-node clusters
  • Basic Hadoop administration
Hadoop MapReduce Framework 11 topics
  • Learning goal: Understand how the Hadoop MapReduce framework and YARN work.
  • The traditional approach vs. MapReduce
  • Why MapReduce
  • YARN components and architecture
  • YARN MapReduce application execution flow
  • YARN workflow
  • Anatomy of a MapReduce program
  • Input splits and how they relate to HDFS blocks
  • Combiners and partitioners
  • Demo: healthcare dataset
  • Demo: weather dataset
Advanced Hadoop MapReduce 8 topics
  • Learning goal: Learn advanced MapReduce concepts such as counters, distributed cache and reduce-side joins.
  • Counters
  • Distributed cache
  • Unit testing with MRUnit
  • Reduce-side joins
  • Custom input formats
  • Sequence file input format
  • Parsing XML files with MapReduce
Apache Pig 11 topics
  • Learning goal: Learn Apache Pig and its components to process data with Pig Latin.
  • Introduction to Apache Pig
  • MapReduce vs. Pig
  • Pig components and execution
  • Pig data types and data models
  • Pig Latin programs
  • Shell and utility commands
  • Pig UDFs and Pig streaming
  • Testing Pig scripts with PigUnit
  • Aviation use case in Pig
  • Demo: healthcare dataset in Pig
Apache Hive 13 topics
  • Learning goal: Understand Hive concepts, data types and how to query data with Hive.
  • Introduction to Apache Hive
  • Hive vs. Pig
  • Hive architecture, components and metastore
  • Limitations of Hive
  • Hive vs. traditional databases
  • Hive data types and data models
  • Partitioning and bucketing
  • Managed and external tables
  • Importing, querying and managing data
  • Hive scripts and UDFs
  • Retail use case in Hive
  • Demo: healthcare dataset in Hive
Advanced Apache Hive and Introduction to HBase 12 topics
  • Learning goal: Learn advanced Hive concepts and get started with Apache HBase.
  • HiveQL: joining tables and dynamic partitioning
  • Custom MapReduce scripts
  • Hive views
  • Hive query optimization
  • The Hive Thrift server
  • Hive UDFs
  • Introduction to HBase and NoSQL databases
  • HBase vs. RDBMS
  • HBase components and architecture
  • HBase run modes and configuration
  • HBase cluster deployment
Advanced Apache HBase 10 topics
  • Learning goal: Work with the HBase data model, shell and client API, and learn ZooKeeper basics.
  • The HBase data model
  • The HBase shell
  • The HBase client API
  • Data loading techniques
  • Introduction to Apache ZooKeeper
  • The ZooKeeper data model and service
  • HBase bulk loading
  • Getting and inserting data
  • HBase filters
Processing Distributed Data with Apache Spark 6 topics
  • Learning goal: Learn Apache Spark, SparkContext and the Spark ecosystem.
  • What Spark is
  • The Spark ecosystem and components
  • What Scala is and why Spark uses it
  • SparkContext
  • Spark RDDs
Oozie and the Hadoop Project 10 topics
  • Learning goal: Schedule Hadoop workflows with Oozie and build a complete Hadoop project.
  • Oozie and its components
  • Oozie workflows and the Oozie scheduler
  • Demo: an Oozie workflow
  • The Oozie coordinator
  • Oozie commands and web console
  • Oozie for MapReduce and combining MapReduce jobs
  • Running Hive in Oozie
  • Hadoop project demo
  • Hadoop and Talend integration

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Upcoming batches

Next Big Data Hadoop batches

Live online classes with an instructor, 9:00 AM to 5:00 PM Eastern Time (ET).

Weekday batch

Starts Monday, October 26

Starts in 2 days · Live online

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Weekend batch

Starts Saturday, October 31

Starts in 7 days · Live online

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Flexible

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Sample certificate
Certification

Earn your Big Data Hadoop certificate

  • Certificate of completionIssued by CertOcean when you finish the training and assignments.
  • Show it to employersAdd it to your LinkedIn profile and resume.
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Learner reviews

Why learners choose CertOcean

Rated Excellent · 4.9 out of 5 on Trustpilot
The training curriculum was great. CertOcean provided me everything required to obtain my CISM. They're excellent!
Laxmi Haya Vadan KaramcheduUnited States · CISMVerified
Very resourceful company, I passed my PMP exam at first attempt, highly recommended.
IjeomaCanada · PMPVerified
Great training support! Helped me pass several certifications.
Cozumel TyUnited StatesVerified
  • US, Canada and UK hoursClasses set around your working day
  • Expert instructorsWorking professionals in your field
  • Career supportResume and interview help
FAQ

Big Data Hadoop course FAQs

Can't find your answer? A course advisor can help with the syllabus, batch dates and exam questions.

How much does the Big Data Hadoop course cost?

The Big Data Hadoop training costs $439, down from the regular $499 (you save 12%). It is a one-time payment in US dollars, and you can pay securely by card or PayPal.

What if I miss a Hadoop class?

You won't miss any content. You can watch the recorded session or attend the same session in the next live batch.

Where can I get help during Hadoop training?

Our support team is available 24x7. Send your question about the Hadoop training anytime, and we will make sure it is answered as quickly as possible.

Can I attend a free demo class before enrolling?

Yes. Ask for a free demo class through the form on this page or on WhatsApp, and we will invite you to a live session with a trainer before you pay. You can also watch a sample class recording to see how our classes run.

Who are the instructors for CertOcean's Hadoop training?

Our Hadoop instructors are domain experts with more than 10 years of experience. They are selected through a strict process and complete a training program before they teach.

Do you offer placement support after Hadoop training?

Your LMS includes a resume builder tool that helps you create a strong resume in a few simple steps. The course combines theory with eight hands-on projects, so you can show real big data skills to employers.

Can I get help after the Hadoop course ends?

Yes. We support learners even after they finish the course, and our team will help you with any technical or course-related questions.

How long is the Big Data Hadoop course?

The course has 30 hours of live online classes: 10 weekend sessions of 3 hours each or 15 weekday sessions of 2 hours each, plus a quiz after every class.

Will I get a certificate after the Big Data Hadoop training?

Yes. You receive a CertOcean certificate of completion when you finish the training.

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