APTRON is the best Hadoop training center with a very high-level infrastructure and laboratory facility. The most attractive thing is that candidates can opt for multiple IT training courses. APTRON prepares thousands of candidates for Hadoop training at an affordable fee structure which is sufficient for the best Hadoop training and attends the Hadoop classes.
What is Hadoop?
Hadoop is an open-source technology. The store and process of the bulk of data in any format are done very efficiently by Hadoop. Data volumes going larger day by day with the evolution of social media, considering this technology is really very important.
At APTRON, we assure the best Hadoop Training in Noida with various concepts like data analytics, big data, HDFS, Hadoop installation modes, Hadoop developing tasks – MapReduce programming, Hadoop ecosystems – PIG, HIVE, SQOOP, HBase, and others.
APTRON offers you a cutting-edge certification-based course in the revolutionary field of BigData to kick-start a glorious career as a skilled data scientist. It’s project-based training. If you are looking for the best Hadoop course, then APTRON is the right place for you. We believe in the fact that a student can develop a lot of knowledge in a stress-free environment and that’s why we bring an excellent planned learning program.
Why Hadoop?
If we talked about the placement scenario, then APTRON is the one and only best Hadoop training and placement. We offer a guaranteed placement for every individual so they can fight for a bright future by participating in our Hadoop training. We have placed many candidates in big MNCs till now. Our teaching offers a complex insight into such a mode that anyone can learn the benefit and difficulty and be an expert. Hadoop creates open-source software for dependable, scalable, spread computing. Big data Hadoop has been the dynamic force behind the enlargement of big data production.
The education staff of APTRON believes in building a beginner from the base and making an expert of them. Here the various forms of education are conducted; tests, mock tasks, and practical issue solving lessons are undertaken. The realistic-based training modules are mainly planned by Sky Infotech to bring a specialist out of all.
Hadoop training is managed during Week Days Classes from 10:00 AM to 7:00 PM, Weekend Classes at the same time. We have also arranged if any candidate wants to learn the best Hadoop training in less time duration.
Big Data Certifications to Boost your Career to the Next Level
Prerequisites
• Basic Knowledge of Core Java.
Hadoop Course Contents
Hadoop Architecture
• Learning Objectives – In this module, you will understand what is Big Data, What are the limitations of the existing solutions for Big Data problem, How Hadoop solves the Big Data problem, What are the common Hadoop ecosystem components, Hadoop Architecture, HDFS, and Map Reduce Framework, and Anatomy of File Write and Read.
• Topics – What is Big Data, Hadoop Architecture, Hadoop ecosystem components, Hadoop Storage: HDFS, Hadoop Processing: MapReduce Framework, Hadoop Server Roles: NameNode, Secondary NameNode, and DataNode, Anatomy of File Write and Read.
• Hadoop Cluster Configuration and Data Loading
• Learning Objectives – In this module, you will learn the Hadoop Cluster Architecture and Setup, Important Configuration files in a Hadoop Cluster, Data Loading Techniques.
• Topics – Hadoop Cluster Architecture, Hadoop Cluster Configuration files, Hadoop Cluster Modes, Multi-Node Hadoop Cluster, A Typical Production Hadoop Cluster, MapReduce Job execution, Common Hadoop Shell commands, Data Loading Techniques: FLUME, SQOOP, Hadoop Copy Commands, Hadoop Project: Data Loading.
Hadoop MapReduce framework
• Learning Objectives – In this module, you will understand the Hadoop MapReduce framework and how MapReduce works on data stored in HDFS. Also, you will learn what are the different types of Input and Output formats in the MapReduce framework and their usage.
• Topics – Hadoop Data Types, Hadoop MapReduce paradigm, Map and Reduce tasks, MapReduce Execution The framework, Partitioners, and Combiners, Input Formats (Input Splits and Records, Text Input, Binary Input, Multiple Inputs), Output Formats (TextOutput, BinaryOutPut, Multiple Output), Hadoop Project: MapReduce Programming.
Advanced MapReduce
• Learning Objectives – In this module, you will learn Advance MapReduce concepts such as Counters, Schedulers, Custom Writables, Compression, Serialization, Tuning, Error Handling, and how to deal with complex MapReduce programs.
• Topics – Counters, Custom Writables, Unit Testing: JUnit and MRUnit testing framework, Error Handling, Tuning, Advance MapReduce, Hadoop Project: Advance MapReduce programming and error handling.
Pig and Pig Latin
• Learning Objectives – In this module, you will learn what is Pig, in which type of use case we can use Pig, how Pig is tightly coupled with MapReduce, and Pig Latin scripting.
• Topics – Installing and Running Pig, Grunt, Pig’s Data Model, Pig Latin, Developing & Testing Pig Latin Scripts, Writing Evaluation, Filter, Load & Store Functions, Hadoop Project: Pig Scripting.
Hive and HiveQL
• Learning Objectives – This module will help you in understanding Apache Hive Installation, Loading and Querying Data in Hive, and so on.
• Topics – Hive Architecture and Installation, Comparison with Traditional Database, HiveQL: Data Types, Operators and Functions, Hive Tables(Managed Tables and External Tables, Partitions and Buckets, Storage Formats, Importing Data, Altering Tables, Dropping Tables), Querying Data (Sorting And Aggregating, Map Reduce Scripts, Joins & Subqueries, Views, Map and Reduce side Joins to optimize Query).
Advance Hive, NoSQL Databases, and HBase
• Learning Objectives – In this module, you will understand Advance Hive concepts such as UDF. You will also acquire in-depth knowledge of what is HBase, how you can load data into HBase, and query data from HBase using the client.
• Topics – Hive: Data manipulation with Hive, User Defined Functions, Appending Data into existing Hive Table, Custom Map/Reduce in Hive, Hadoop Project: Hive Scripting, HBase: Introduction to HBase, Client API’s and their features, Available Client, HBase Architecture, MapReduce Integration.
Advance HBase and ZooKeeper
• Learning Objectives – This module will cover Advance HBase concepts. You will also learn what Zookeeper is all about, how it helps in monitoring a cluster, why HBase uses Zookeeper, and how to Build Applications with Zookeeper.
• Topics – HBase: Advanced A usage, Schema Design, Advance Indexing, Coprocessors, Hadoop Project: HBase tables The ZooKeeper Service: Data Model, Operations, Implementation, Consistency, Sessions, and States.
Hadoop 2.0, MRv2, and YARN
• Learning Objectives – In this module, you will understand the newly added features in Hadoop 2.0, namely, YARN, MRv2, NameNode High Availability, HDFS Federation, support for Windows etc.
• Topics – Schedulers: Fair and Capacity, Hadoop 2.0 New Features: NameNode High Availability, HDFS Federation, MRv2, YARN, Running MRv1 in YARN, Upgrade your existing MRv1 code to MRv2, Programming in YARN framework.
Hadoop Project Environment and Apache Oozie
• Learning Objectives – In this module, you will understand how multiple Hadoop ecosystem components work together in a Hadoop implementation to solve Big Data problems. We will discuss multiple data sets and specifications of the project. This module will also cover Apache Oozie Workflow Scheduler for Hadoop Jobs.
Meet The Experts:
• APTRON subject matter experts have more than 10+ years of experience in their respective technologies and are assets for their companies, the major percentage of IT companies.
• Experts have the exposure to real-time implementation of various projects and guide the students according to their experience.
• They carry a very fluent social circle within the IT industry so as to refer the candidates for various openings.
Placements: A Major Talking Point
• APTRON has tie-ups with top MNC’s like DXC, CTS, Delloite, Accenture, Infosys, etc. and that is the only reason why our students are currently in many global MNC’s across the globe.
• Regular test and interview sessions are a part of the course curriculum.
• After the completion of 70% training course, students are prepared for face-to-face interaction in the form of an interview to judge their skills.
• Unlimited interview referrals are provided to candidates until final placement.
• Guidance for resume development.
Reasons to Join APTRON:
• APTRON offers Hadoop training with well-classified modules.
• APTRON feels proud to announce that more than 1000 candidates are placed from our Institute in the last 15 years.
• Great infrastructure with AC classrooms for Big Data Training in Noida.
• Fully Efficient Labs.
• Servers are provided to the students for practice.
• Our trainers prepare candidates according to interview cracking level with all required practices.
• APTRON offers weekday classes between 10:00 AM to 7:00 PM in Hadoop training.
• All candidates go for the test and presentation process 3 times regularly during Hadoop training. This is a performance check process for all of the students.
• Personality development classes, interview session, English speaking session is also available in our Institute.
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