Hadoop Fundamentals Training
Learn Hadoop Fundamentals Training to Unleash a Modern Career
Average Rating 4.3 From 847 Students
About Course
Hadoop Fundamentals training at SM Consultant will help you lto earn Big Data Hadoop and Spark modules.It is a comprehensive Hadoop Big Data training course designed by industry experts considering current industry job requirements to help you learn Big Data Hadoop and Spark modules. This is an industry recognized Big Data certification training course that is a combination of the training courses in Hadoop developer, Hadoop administrator, Hadoop testing, and analytics with Apache Spark. This Cloudera Hadoop & Spark training will prepare you to clear Cloudera CCA 175 big data certification.Here you will learn Master fundamentals of Hadoop 2.7 and YARN and write applications using them,Setting up Pseudo node and Multi node cluster on Amazon EC2,Master HDFS, MapReduce, Hive, Pig, Oozie, Sqoop, Flume, Zookeeper, HBase,Learn Spark, Spark SQL, Streaming, DataFrame, RDD, Graphx, MLlib writing Spark applications and Master Hadoop administration activities like cluster managing,monitoring,administration and troubleshooting.
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Self Paced Online Learning
The Self Paced format allows you to stream the course content from anywhere across the globe with a good Internet connection. There is no defined schedule, you can watch them at your comfortable time. Get Started.
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Instructor Led Live Training
We deliver Instructor-led online course via your personal computer through an easy-to-use web conferencing tool that allows for real-time interaction between you and the trainer. Get Expert guidance tailored for you.
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Hadoop Fundamentals Training Course Content
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 Distributions
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
3. Apache Pig
- Introduction to Apache Pig
- MapReduce vs Pig
- Pig Components & Pig Execution
- Pig Data Types & Data Models in Pig
- Pig Latin Programs
- Shell and Utility Commands
- Pig UDF & Pig Streaming
- Testing Pig scripts with Punit
- Aviation use-case in PIG
- Pig Demo of Healthcare Datase
4. Advanced Apache HBase
- HBase Data Model
- HBase Shell
- HBase Client API
- Hive Data Loading Techniques
- Apache Zookeeper Introduction
- ZooKeeper Data Model
- Zookeeper Service
- HBase Bulk Loading
- Getting and Inserting Data
- HBase Filters
5. Hadoop MapReduce Framework
- Traditional way vs MapReduce way
- Why MapReduce
- YARN Components
- YARN Architecture
- YARN MapReduce Application Execution Flow
- YARN Workflow
- Anatomy of MapReduce Program
- Input Splits, Relation between Input Splits and HDFS Blocks
- MapReduce: Combiner & Partitioner
- Demo of Health Care Dataset
- Demo of Weather Dataset
6. Advanced Hadoop MapReduce
- Counters
- Distributed Cache
- MRunit
- Reduce Join
- Custom Input Format
- Sequence Input Format
- XML file Parsing using MapReduce
7. 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
- Hive Tables (Managed Tables and External Tables)
- Importing Data
- Querying Data & Managing Outputs
- Hive Script & Hive UDF
- Retail use case in Hive
- Hive Demo on Healthcare Dataset
8. Advanced Apache HBase
- HBase Data Model
- HBase Shell
- HBase Client API
- Hive Data Loading Techniques
- Apache Zookeeper Introduction
- ZooKeeper Data Model
- Zookeeper Service
- HBase Bulk Loading
- Getting and Inserting Data
- HBase Filters
9. Oozie and Hadoop Project
- Oozie
- Oozie Components
- Oozie Workflow
- Scheduling Jobs with Oozie Scheduler
- Demo of Oozie Workflow
- Oozie Coordinator
- Oozie Commands
- Oozie Web Console
- Oozie for MapReduce
- Combining flow of MapReduce Jobs
- Hive in Oozie
- Hadoop Project Demo
- Hadoop Talend Integration
10. Advanced Apache Hive and HBase
- Hive QL: Joining Tables, Dynamic Partitioning
- Custom MapReduce Scripts
- Hive Indexes and views
- Hive Query Optimizers
- Hive Thrift Server
- 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
Need Customized Course Content?
We will customize the Hadoop Fundamentals Training course content according to your job requirements.
Certification
Once you are successfully through the project, you will be awarded an SM Consultant’s Hadoop Fundamentals Training Completion Certificate for the course.
SM Consultant’s certification has industry recognition, and we are the preferred training partner for many organizations.
SM Consultant’s Certificate Holders work at 100s of companies
Frequently Asked Questions About Hadoop Fundamentals Training
1. When will I receive my joining instructions for Hadoop Fundamentals Training?
Joining instructions for Hadoop Fundamentals Training is sent two days prior to the course start date, or immediately if the booking is confirmed within this timeframe.
2. How are you better than the other classes? Past achievements?
As they say, “History speaks for itself”, the past achievements would give you a good picture of our reputation, and would also tell you what extra efforts we put in to achieve it.
3. Do you offer a Hadoop Fundamentals Training Demo or Trial class before joining?
We offer 1 demo classes to students. Just make sure that you select the subject and time of the class so that you get an independent assessment of the quality of teaching and you can take an informed decision.
4. What’s the batch size? Will I get personal attention?
An average batch size could be min. 4-5 and max. 8-10 but irrespective of the batch size you will get personal attention and our trainers will help you understand the technology.
5. What if I am not able to attend or miss a session?
If you are unable to attend your session we will help you understand the session by sharing the recording of the live session and still if you need more assistance, we will arrange a backup session for you.
6. Can I access the Hadoop Fundamentals Training course material after training?
Yes, you will get the material in pdf format and will have access to the Hadoop Fundamentals Training recordings.
Have More Questions?
Do let us know if you need more information we will be happy to help you!
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