Big Data Hadoop Certification Training

Sale!

Big Data Hadoop Certification Training

CertAdda’s extensive Big Data Analytics certification is curated by Hadoop experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, and Pig. Throughout this online instructor-led Big Data Hadoop certification training, you will be working on real-life industry use cases in Retail, Social Media, Aviation, Tourism, and Finance domains using CertAdda’s Cloud Lab. Enroll now to learn Big Data from instructors with over 10+ years of experience, with hands-on demonstrations.

 

$424.00 $399.00

Categories , ,

Instructor-led Big Data and Hadoop live online classes

Date

Duration

Timings

Nov 16th MON – FRI (15 DAYS)  SOLD OUT Timings – 07:00 AM to 09:00 AM (IST)
Nov 28th SAT & SUN (5 WEEKS) Weekend Batch ⚡FILLING FAST Timings – 08:30 PM to 11:30 PM (IST)
Dec 21st MON – FRI (15 DAYS) Timings – 08:30 PM to 10:30 PM (IST)
Dec 25th SAT & SUN (5 WEEKS) Weekend Batch Timings – 07:00 AM to 10:00 AM (IST)
Jan 18th MON – FRI (15 DAYS) Timings – 07:00 AM to 09:00 AM (IST)

Understanding Big Data and Hadoop

Answer: Learning Objectives: In this module, you will understand what Big Data is, the limitations of the traditional solutions for Big Data problems, how Hadoop solves those Big Data problems, Hadoop Ecosystem, Hadoop Architecture, HDFS, Anatomy of File Read and Write & how MapReduce works. Topics: 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

Hadoop Architecture and HDFS

Answer: Learning Objectives: In this module, you will learn Hadoop Cluster Architecture, important configuration files of Hadoop Cluster, Data Loading Techniques using Sqoop & Flume, and how to setup Single Node and Multi-Node Hadoop Cluster. Topics: 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

Hadoop MapReduce Framework

Answer: Learning Objectives: In this module, you will understand Hadoop MapReduce framework comprehensively, the working of MapReduce on data stored in HDFS. You will also learn the advanced MapReduce concepts like Input Splits, Combiner & Partitioner. Topics: 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

Advanced Hadoop MapReduce

Answer: Learning Objectives: In this module, you will learn Advanced MapReduce concepts such as Counters, Distributed Cache, MRunit, Reduce Join, Custom Input Format, Sequence Input Format and XML parsing. Topics: Counters Distributed Cache MRunit Reduce Join Custom Input Format Sequence Input Format XML file Parsing using MapReduce

Apache Pig

Answer: Learning Objectives: In this module, you will learn Apache Pig, types of use cases where we can use Pig, tight coupling between Pig and MapReduce, and Pig Latin scripting, Pig running modes, Pig UDF, Pig Streaming & Testing Pig Scripts. You will also be working on healthcare dataset. Topics: Introduction to Apache Pig MapReduce vs Pig Pig Components & Pig Execution Pig Data Types & Data Models in Pig Pig Latin Programs Preview Shell and Utility Commands Pig UDF & Pig Streaming Testing Pig scripts with Punit Aviation use-case in PIG Pig Demo of Healthcare Dataset

Apache Hive

Answer: Learning Objectives: This module will help you in understanding Hive concepts, Hive Data types, loading and querying data in Hive, running hive scripts and Hive UDF. Topics: Introduction to Apache Hive Preview Hive vs Pig Hive Architecture and Components Preview 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

Advanced Apache Hive and HBase

Answer: Learning Objectives: In this module, you will understand advanced Apache Hive concepts such as UDF, Dynamic Partitioning, Hive indexes and views, and optimizations in Hive. You will also acquire indepth knowledge of Apache HBase, HBase Architecture, HBase running modes and its components. Topics: Hive QL: Joining Tables, Dynamic Partitioning Preview Custom MapReduce Scripts Hive Indexes and views Preview Hive Query Optimizers Hive Thrift Server Hive UDF Preview Apache HBase: Introduction to NoSQL Databases and HBase Preview HBase v/s RDBMS HBase Components HBase Architecture Preview HBase Run Modes HBase Configuration HBase Cluster Deployment

Advanced Apache HBase

Answer: Learning Objectives: This module will cover advance Apache HBase concepts. We will see demos on HBase Bulk Loading & HBase Filters. You will also learn what Zookeeper is all about, how it helps in monitoring a cluster & why HBase uses Zookeeper. Topics: HBase Data Model Preview HBase Shell HBase Client API Hive Data Loading Techniques Apache Zookeeper Introduction ZooKeeper Data Model Zookeeper Service HBase Bulk Loading Preview Getting and Inserting Data HBase Filters

Processing Distributed Data with Apache Spark

Answer: Learning Objectives: In this module, you will learn what is Apache Spark, SparkContext & Spark Ecosystem. You will learn how to work in Resilient Distributed Datasets (RDD) in Apache Spark. You will be running application on Spark Cluster & comparing the performance of MapReduce and Spark. Topics: What is Spark Preview Spark Ecosystem Spark Components Preview What is Scala Preview Why Scala SparkContext Spark RDD

Oozie and Hadoop Project

Answer: Learning Objectives: In this module, you will understand how multiple Hadoop ecosystem www.edureka.co © 2019 Brain4ce Education Solutions Pvt. Ltd. All rights Reserved. components work together to solve Big Data problems. This module will also cover Flume & Sqoop demo, Apache Oozie Workflow Scheduler for Hadoop Jobs, and Hadoop Talend integration. Topics: Oozie Preview Oozie Components Oozie Workflow Scheduling Jobs with Oozie Scheduler Demo of Oozie Workflow Oozie Coordinator Preview Oozie Commands Oozie Web Console Oozie for MapReduce Combining flow of MapReduce Jobs Hive in Oozie Hadoop Project Demo Hadoop Talend Integration

Certification Project

Answer: Analyses of a Online Book Store Find out the frequency of books published each year. (Hint: Sample dataset will be provided) B. Find out in which year the maximum number of books were published Find out how many books were published based on ranking in the year 2002. Sample Dataset Description The Book-Crossing dataset consists of 3 tables that will be provided to you. Airlines Analysis Find list of Airports operating in Country India Find the list of Airlines having zero stops List of Airlines operating with codeshare Which country (or) territory having highest Airports Find the list of Active Airlines in United state Sample Dataset Description In this use case, there are 3 data sets. Final_airlines, routes.dat, airports_mod.dat

About Hadoop Training

Answer: Hadoop is an Apache project (i.e. an open source software) to store & process Big Data. Hadoop stores Big Data in a distributed & fault tolerant manner over commodity hardware. Afterwards, Hadoop tools are used to perform parallel data processing over HDFS (Hadoop Distributed File System). As organisations have realized the benefits of Big Data Analytics, so there is a huge demand for Big Data & Hadoop professionals. Companies are looking for Big data & Hadoop experts with the knowledge of Hadoop Ecosystem and best practices about HDFS, MapReduce, Spark, HBase, Hive, Pig, Oozie, Sqoop & Flume. CertAdda Hadoop Training is designed to make you a certified Big Data practitioner by providing you rich hands-on training on Hadoop Ecosystem. This Hadoop developer certification training is stepping stone to your Big Data journey and you will get the opportunity to work on various Big data projects.

What are the objectives of our Big Data Hadoop Online Course?

Answer: Big Data Hadoop Certification Training is designed by industry experts to make you a Certified Big Data Practitioner. The Big Data Hadoop course offers: In-depth knowledge of Big Data and Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) & MapReduce Comprehensive knowledge of various tools that fall in Hadoop Ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase The capability to ingest data in HDFS using Sqoop & Flume, and analyze those large datasets stored in the HDFS The exposure to many real world industry-based projects which will be executed in Edureka’s CloudLab Projects which are diverse in nature covering various data sets from multiple domains such as banking, telecommunication, social media, insurance, and e-commerce Rigorous involvement of a Hadoop expert throughout the Big Data Hadoop Training to learn industry standards and best practices

Why should you go for Big Data Hadoop Online Training?

Answer: Big Data is one of the accelerating and most promising fields, considering all the technologies available in the IT market today. In order to take benefit of these opportunities, you need a structured training with the latest curriculum as per current industry requirements and best practices. Besides strong theoretical understanding, you need to work on various real world big data projects using different Big Data and Hadoop tools as a part of solution strategy. Additionally, you need the guidance of a Hadoop expert who is currently working in the industry on real world Big Data projects and troubleshooting day to day challenges while implementing them.

What are the skills that you will be learning with our Big Data Hadoop Certification Training?

Answer: Big Data Hadoop Certification Training will help you to become a Big Data expert. It will hone your skills by offering you comprehensive knowledge on Hadoop framework, and the required hands-on experience for solving real-time industry-based Big Data projects. During Big Data & Hadoop course you will be trained by our expert instructors to: Master the concepts of HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator), & understand how to work with Hadoop storage & resource management. Understand MapReduce Framework Implement complex business solution using MapReduce Learn data ingestion techniques using Sqoop and Flume Perform ETL operations & data analytics using Pig and Hive Implementing Partitioning, Bucketing and Indexing in Hive Understand HBase, i.e a NoSQL Database in Hadoop, HBase Architecture & Mechanisms Integrate HBase with Hive Schedule jobs using Oozie Implement best practices for Hadoop development Understand Apache Spark and its Ecosystem Learn how to work with RDD in Apache Spark Work on real world Big Data Analytics Project Work on a real-time Hadoop cluster

Who should take this course?

Answer: The market for Big Data analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Hiring managers are looking for certified Big Data Hadoop professionals. Our Big Data & Hadoop Certification Training helps you to grab this opportunity and accelerate your career. Our Big Data Hadoop Course can be pursued by professional as well as freshers. It is best suited for: Software Developers, Project Managers Software Architects ETL and Data Warehousing Professionals Data Engineers Data Analysts & Business Intelligence Professionals DBAs and DB professionals Senior IT Professionals Testing professionals Mainframe professionals Graduates looking to build a career in Big Data Field For pursuing a career in Data Science, knowledge of Big Data, Apache Hadoop & Hadoop tools are necessary. Hadoop practitioners are among the highest paid IT professionals today with salaries ranging around $97K (source: payscale), and their market demand is growing rapidly.

How will Big Data and Hadoop Training help your career?

Answer: The below predictions will help you in understanding the growth of Big Data: Hadoop Market is expected to reach $99.31B by 2022 at a CAGR of 42.1% -Forbes McKinsey predicts that by 2018 there will be a shortage of 1.5M data experts Average Salary of Big Data Hadoop Developers is $97k Organisations are showing interest in Big Data and are adopting Hadoop to store & analyse it. Hence, the demand for jobs in Big Data and Hadoop is also rising rapidly. If you are interested in pursuing a career in this field, now is the right time to get started with online Hadoop Training.

What are the pre-requisites for CertAdda\\\\\\\'s Hadoop Training Course?

Answer: There are no such prerequisites for Big Data & Hadoop Course. However, prior knowledge of Core Java and SQL will be helpful but is not mandatory. Further, to brush up your skills, CertAdda offers a complimentary self-paced course on \\\\\\\"Java essentials for Hadoop\\\\\\\" when you enroll for the Big Data and Hadoop Course.

What are the system requirements for this Hadoop Training?

Answer: You don’t have to worry about the system requirements as you will be executing your practicals on a Cloud LAB environment. This environment already contains all the necessary software that will be required to execute your practicals.

How will I execute projects in this Hadoop Training Course?

Answer: You will execute all your Big Data Hadoop Course Assignments/Case Studies on your Cloud LAB environment whose access details will be available on your LMS. You will be accessing your Cloud LAB environment from a browser. For any doubt, the 24*7 support team will promptly assist you.

What is CloudLab?

Answer: CloudLab is a cloud-based Hadoop and Spark environment that CertAdda offers with the Hadoop Training course where you can execute all the in-class demos and work on real-life Big Data Hadoop projects in a fluent manner. This will not only save you from the trouble of installing and maintaining Hadoop or Spark on a virtual machine, but will also provide you an experience of a real Big Data and Hadoop production cluster. You’ll be able to access the CloudLab via your browser which requires minimal hardware configuration. In case, you get stuck in any step, our support ninja team is ready to assist 24x7.

Which projects will be a part of this Big Data Hadoop Online Training Course?

Answer: CertAdda’s Big Data & Hadoop Training includes multiple real-time, industry-based projects, which will hone your skills as per current industry standards and prepare you for the upcoming Big Data roles & Hadoop jobs. Project #1: Industry: Stock Market Problem Statement TickStocks, a small stock trading organization, wants to build a Stock Performance System. You have been tasked to create a solution to predict good and bad stocks based on their history. You also have to build a customized product to handle complex queries such as calculating the covariance between the stocks for each month. Project #2: Industry: Health-Care Problem statement MobiHeal is a mobile health organization that captures patient’s physical activities, by attaching various sensors on different body parts. These sensors measure the motion of diverse body parts like acceleration, the rate of turn, magnetic field orientation, etc. You have to build a system for effectively deriving information about the motion of different body parts like chest, ankle, etc. Project #3: Industry: Social Media Problem Statement: Socio-Impact is a social media marketing company which wants to expand its business. They want to find the websites which have a low rank web page. You have been tasked to find the low-rated links based on the user comments, likes etc. Project #4: Industry: Retail Problem Statement: A retail company wants to enhance their customer experience by analysing the customer reviews for different products. So that, they can inform the corresponding vendors and manufacturers about the product defects and shortcomings. You have been tasked to analyse the complaints filed under each product & the total number of complaints filed based on the geography, type of product, etc. You also have to figure out the complaints which have no timely response. Project #5: Industry: Tourism Problem Statement: A new company in the travel domain wants to start their business efficiently, i.e. high profit for low TCO. They want to analyse & find the most frequent & popular tourism destinations for their business. You have been tasked to analyse top tourism destinations that people frequently travel & top locations from where most of the tourism trips start. They also want you to analyze & find the destinations with costly tourism packages. Project #6: Industry: Aviation Problem Statement: A new airline company wants to start their business efficiently. They are trying to figure out the possible market and their competitors. You have been tasked to analyse & find the most active airports with maximum number of flyers. You also have to analyse the most popular sources & destinations, with the airline companies operating between them. Project #7: Industry: Banking and Finance Problem Statement: A finance company wants to evaluate their users, on the basis of loans they have taken. They have hired you to find the number of cases per location and categorize the count with respect to the reason for taking a loan. Next, they have also tasked you to display their average risk score. Project #8: Industry: Media & Entertainment Problem Statement: A new company in Media and Entertainment domain wants to outsource movie ratings & reviews. They want to know the frequent users who is giving review and rating consistently for most of the movies. You have to analyze different users, based on which user has rated the most number of movies, their occupations & their age-group.

What if I miss a class?

Answer: You will never miss a lecture at CertAdda You can choose either of the two options: View the recorded session of the class available in your LMS. You can attend the missed session, in any other live batch.

What if I have queries after I complete this course?

Answer: Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.

How soon after Signing up would I get access to the Learning Content?

Answer: Post-enrolment, the LMS access will be instantly provided to you and will be available for lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover the access to our 24x7 support team will be granted instantly as well. You can start learning right away.

Is the course material accessible to the students even after the course training is over?

Answer: Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

Will I Get Placement Assistance?

Answer: More than 70% of Edureka Learners have reported change in job profile (promotion), work location (onsite), lateral transfers & new job offers. Edureka\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\'s certification is well recognized in the IT industry as it is a testament to the intensive and practical learning you have gone through and the real-life projects you have delivered.

Can I Attend a Demo Session before Enrolment?

Answer: If you have seen any of our sample class recordings, you don\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\'t need to look further. Enrollment is a commitment between you and us where you promise to be a good learner and we promise to provide you the best ecosystem possible for learning. Our sessions are a significant part of your learning, standing on the pillars of learned and helpful instructors, dedicated Personal Learning Managers and interactions with your peers. So experience complete learning instead of a demo session. In any case, you are covered by Edureka Guarantee, our No questions asked, 100% refund policy.

Who are the instructors?

Answer: All the instructors at CertAdda are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.

What is the best way to learn hadoop?

Answer: CertAdda’s Big Data Hadoop Certification training is meant to help you learn and master the entire hadoop ecosystem. With our industry relevant course catalog, we make sure that the learning is in line with how the technology is being used in the market today. We also have real-time projects for our learners to work on for better hands-on. With our cloud lab implementation, we provide the perfect environment for all learners to gain as much practical experience possible.

What are the prerequisites to learning Big Data hadoop?

Answer: There are no such prerequisites for Big Data & Hadoop Course. However, prior knowledge of Core Java and SQL will be helpful but is not mandatory. Further, to brush up your skills, Edureka offers a complimentary self-paced course on \\\\\\\"Java essentials for Hadoop\\\\\\\" when you enroll for the Big Data and Hadoop Course.

What is big data hadoop developer salary in USA?

Answer: Hadoop developers are in great demand in the IT sector of the US. Depending on the experience and the expertise you bring to the table, the average salary can range from $120,000/- to $180,000/-

Why learn hadoop online? How is it better than offline training?

Answer: Learning pedagogy has evolved a lot with the advent of technology. These changes and advancements have made it possible to increase your efficiency while you learn. While the traditional classroom based training has proven to be successful, with online learning learners have flexibility in terms of schedule. Apart from this, they can visit the study material anytime from anywhere and brush up on concepts with ease. Learning does not stop once the classes are over, which is why we also provide a 24x7 support system to help you with your doubts even after your class ends.

How much time and days does it take to learn hadoop?

Answer: CertAdda’s Hadoop certification training will help you master the concepts and practical implementation of the technology in 1 months time. With dedicated resources and a never-back-down attitude, you can master the technology in one month.

How should beginners start to learn Hadoop?

Answer: First step is always the most important and the hardest one to take. We understand that before you are serious enough about getting certified, you need to know more about the technology. Our Youtube channel and blogs have a lot of tutorials on the Hadoop ecosystem. These tutorials is all you need to get your basics cleared and get started with Hadoop.

Why learn Hadoop? What are the advantages of learning Hadoop?

Answer: CertAdda’s Big Data Hadoop Certification training is meant to help you learn and master the entire hadoop ecosystem. With our industry relevant course catalog, we make sure that the learning is in line with how the technology is being used in the market today. We also have real-time projects for our learners to work on for better hands-on. With our cloud lab implementation, we provide the perfect environment for all learners to gain as much practical experience possible.