Big Data and Hadoop Developer Certification
Apache’s Hadoop is the premier platform in the world for handling Big Data. It is used to store and process a large volume of data in the form of Big Data to derive meaningful insights. Knowledge and skills in operating the Hadoop ecosystem are a major requirement for many organizations across all industries. Through the interpretation of Big Data, businesses can efficiently learn about the market trends and predict consumer behaviors. Hadoop Developers can manage the Hadoop clusters and have a working knowledge of the hardware considerations that are required to maintain them.
Big Data Hadoop Developer Certification in Kazakhstan
Earning the Big Data Hadoop Developer Certification in Kazakhstan will be very beneficial for data scientists and data analysts who are involved in Big Data Analytics. Knowledge about the Hadoop software is a requirement for data analysts and engineers. With the certification, Hadoop Developers can derive meaningful information from Big Data and help their organizations achieve better productivity.
Big Data Hadoop Developer Training in Kazakhstan
Unichrone offers this Big Data and Hadoop Developer Certification Training in Kazakhstan to individuals interested in working with Big Data and Hadoop software. Our course covers all the fundamentals of Big Data and Hadoop. Highly qualified and expert instructors will guide individuals through the Hadoop Developer Certification and Training Course with plenty of projects and practical applications using the Hadoop software. They will also learn about MapReduce, HDFS, YARN, Apache Pig, Apache Hive, Apache Sqoop, Flume, and Oozie. After completing this course, candidates will be able to perform Big Data analytics using the Hadoop ecosystem for their organizations. Our Big Data and Hadoop Developer Certification Training Course is available in the live online sessions as well as the group classroom format across all major cities in Kazakhstan.
Key Features of Big Data Hadoop Developer Certification Training in Kazakhstan
- 3 Day Interactive Instructor –led Online Classroom or Group Training in Kazakhstan
- Course study materials designed by subject matter experts
- Mock Tests to prepare in a best way
- Highly qualified, expert Big Data Hadoop trainers with vast experience
- Attain 30 hours contact hours(PDU’s) certificate
- Enrich with Industry best practices and case studies
- End-to-end support via phone, mail, and chat
- Convenient Weekday/Weekend Big Data Hadoop schedule in Kazakhstan
Corporate Group Training
- Customized Training
- Live Instructor-led
- Onsite / Online
- Flexible Dates
|Big Data Hadoop Developer Exam Format|
|Exam Name||Big Data Hadoop Developer Certification|
|Exam Cost||Inlcuded in the Training Fees|
|Exam Format||Multiple Choice-Online|
|Exam Duration||120 Mins|
Big Data Hadoop Developer Certification Benefits
With this renowned credential, aspirants earn higher salary packages when compared to non-certified professionals in the field
Aspirants can look for higher career prospects at an early stage in their life with the most esteemed certification
Owning the certification makes it easier to earn the trust and respect of professionals working in the same field
Rigorous study plan
The course content is prescribed as per the exam requirements, covering the necessary topics to ace the exam in the first attempt
Diverse job roles
Attaining the certification enhances the spirit of individuals to pursue diverse job roles in the organization
With this certification, individuals acquire refined skills and techniques required to play their part in an organization
Big Data Hadoop Developer Course Curriculum
1.Introduction to Big Data and Hadoop
- · Introduction to Big Data
- · Types of Data
- · Comparison with RDBMS
- · Hadoop Features
- · Hadoop Ecosystem
- · Hadoop Core Components
2.Hadoop Distributed File System
- · Hadoop Distributed File System
- · HDFS Files and Blocks
- · HDFS Components and Architecture
- · HDFS File Read-Write
- · HDFS Commands
- · Mapreduce
- · Map-Reduce Operation
- · Map-reduce Example
- · HDFS Input Splits
- · MapReduce Architecture
- · Combiners and Partitioners
- · MapReduce Data Flow
- · MapReduce Examples
- · Chaining of Jobs
- · Distributed Cache
- · Counters
- · JUnit Testing
- · Schedulers
- · Data Compression in Hadoop
- · Different Input and Output Formats in MapReduce
- · Chain Mapping
- · Compression in Gzip
- · Distributed cache
- · Counters
- · MRUnit Test
- · Multiple inputs
- · ReadSequence File
- · Introduction to Apache Pig
- · PIG Latin language
- · Running PIG in Different Modes
- · Apache PIG Architecture
- · Grunt Shell
- · Pig Latin Statements
- · Pig Data Model- Scalar Types
- · Complex Types
- · Arithmetic Operators
- · Comparison Operators
- · Cast Operator
- · Type Construction Operators
- · Relational Operators
- · Loading and Storing
- · Filtering Operators
- · Grouping and Joining Operator- Part 1
- · Grouping and Joining Operator- Part 2
- · Combining and Splitting Operators
- · Sorting Operators
- · Diagnostic Operators
- · Filtering Operators-Pig Streaming with Python
- · What is Hive
- · Hive Use Case@ Twitter
- · Hive vs MapReduce
- · What is Hive
- · Advantages of HiveQL
- · Hive Architecture
- · Data Types in Hive
- · Hive Query Language
- · DDL on DataBase
- · DDL on Tables
- · Different Tables in Hive
- · Advanced DDL on Tables
- · File Format in Hive
- · DML- Loading Data into tables
- · Managing Output
- · HiveQL-Queries
- · Operators and Functions in Hive
- · Hive Clauses
Apache HBase: NoSQL Database for Hadoop
- · What is HBase
- · HBase history
- · Building blocks of hbase
- · Column family in Hbase
- · Storage of Column Family
- · Data Model in HBase
- · Timestamp as Versions
- · Getting Started with HBase Shell
- · DDL in HBase part-1
- · DDL in HBase part-2
- · DDL in HBase part-3
- · DML in HBase
Frequently Asked Questions
Why take up this Big Data Hadoop Developer Certification Training Course in Kazakhstan?
This Big Data Hadoop Developer Certification Training Course in Kazakhstan will help individuals in becoming Hadoop Developers and become acquainted with the various concepts of Big Data and Hadoop.
Who should opt for our Big Data Hadoop Developer Certification Training Course in Kazakhstan?
IT professionals, system engineers, software developers, and testing professionals who want to thoroughly understand the concepts of Big Data analytics and the Hadoop ecosystem should opt for our Big Data Hadoop Developer Certification Training Course in Kazakhstan.
What are the prerequisites for attending the Big Data Hadoop Developer Certification Training Course in Kazakhstan?
There are no prerequisites for attending the Big Data Hadoop Developer Certification Training Course in Kazakhstan
When can I take up mock tests?
There are no prerequisites for attending the Big Data Hadoop Developer Certification Training Course in Kazakhstan.
What is the duration of the Big Data Hadoop Developer Certification Training Course in Kazakhstan?
Our Big Data Hadoop Developer Certification Training Course is a 3-day interactive training and certification course that candidates can access in the live online classroom format and in the group classroom sessions across all major cities in Kazakhstan.
Does the Big Data Hadoop Developer Certification Training Course in Kazakhstan include practical lab?
Yes. Our Big Data Hadoop Developer Certification Training Course in Kazakhstan includes a practical lab that involves operating and managing the Hadoop architecture in practice.
Is a Hadoop developer the same as a big data Developer?
Big Data developers are responsible for developing applications in Pig, Hive, Spark, and Map Reduce. Whereas, the Hadoop developers are responsible for programming the Hadoop application.
What is the difference between Hadoop 2 and Hadoop 3?
Hadoop 3 is the updated version of Hadoop 2. Hadoop 2 uses version 1 of YARN (Yet Another Resource Negotiator) while Hadoop 3 uses version 2 of YARN. Further, Hadoop 3 needed less disk space for its operations compared to Hadoop 2.
Which are companies using Hadoop for big data analytics?
Companies such as Alibaba, Amazon, Pivotal, Spotify, Microsoft, Facebook, Twitter, Yahoo, LinkedIn, eBay, Infosys, and Accenture use Hadoop.
How can I attend Big Data Hadoop Developer Training in Kazakhstan?
Unichrone offers Big Data Hadoop Developer Training in online and offline modes in Kazakhstan. Candidates can opt for any of these methods to attend Big Data Hadoop Developer Training.
Do I need any skills to become a big data developer?
Individuals need Programming Skills, Problem-solving skills, Knowledge of Linux commands, Organizational skills, communication skills, Knowledge of SQL, Knowledge of statistics, and Interpersonal skills to become a big data developer.
Is coding required for Hadoop?
Yes, coding is required for Hadoop since it is mostly written in the Java programming language.
What are the benefits of using Hadoop?
The followings are the benefits of using Hadoop
- Highly scalable
- Availability of fault tolerance
- Ensures data reliability
- Easy to use
- Uses data locality
- Fast data processing
- Provides high availability
Which industries employ the use of Hadoop?
Industries such as Banking, Manufacturing, Finance, Retail, Automobile, and Healthcare use Hadoop.
When is the Big Data and Hadoop Developer Exam conducted and who conducts it?
The Big Data and Hadoop Developer Exam is conducted at the end of the training course by Unichrone.
What course materials are provided to prepare for the Big Data and Hadoop Developer Exam?
The course guides and mock tests prepared by our subject matter experts will help candidates prepare for the Big Data and Hadoop Developer Exam.
What does Big Data Hadoop Developer Exam include?
Big Data Hadoop Developer Exam consists of 50 multiple-choice questions. Candidates have to complete the exam within 120 minutes.
What is the cost of the Big Data Hadoop Developer Exam?
The cost of the Big Data Hadoop Developer Exam is included in the Big Data Hadoop Developer Training fee.
What is the reexamination policy of Big Data Hadoop Developer?
Candidates can retake Big Data Hadoop Developer Exam by paying an additional exam fee.
What is the passing score of the Big Data Hadoop Developer Exam?
The passing score of the Big Data Hadoop Developer Exam is 70%.
Why is Big Data analytics important?
Apache’s Hadoop is an open-source framework that helps in storing and processing Big Data in a parallel and distributed environment. It is highly scalable, flexible and its computation powers are unmatched.
What kind of certification is offered after completing the Big Data Hadoop Developer Certification Training Course in Kazakhstan?
After successfully completing the Big Data Hadoop Developer Certification Training Course in Kazakhstan, we provide an industry-standard course completion certificate to the candidates.
What is the validity of the Big Data Hadoop Developer Certification offered by Unichrone?
Big Data Hadoop Developer Certification is valid for life.
What are the advantages of obtaining a Big Data Hadoop Developer Certificate?
The advantages of obtaining a Big Data Hadoop Developer Certificate are as follows:
- Hand on experience in developing Hadoop application
- Globally recognized certificate
- Various job prospects
- Increase in pay
What costs will I incur while pursuing Big Data Hadoop Developer Certification?
Individuals incur the cost of training and exam while pursuing the Big Data Hadoop Developer Certification.
How long does it take to earn Big Data Hadoop Developer Certification?
Individuals interested in learning Hadoop software can enroll in Big Data Hadoop Developer Training. At the end of the session, candidates who attempt the exam and score 70% will receive their certification immediately. As a result, the time period required to earn the certification depends on the potential of individuals.
How much does Big Data Hadoop Developer earn?
Big Data Hadoop Developer earns an average salary of USD 112,000 per year according to Ziprecruiter.com.
What are the Big Data Hadoop Certificates offered by Unichrone?
Unichrone offers Big Data Hadoop Administrator and Big Data Hadoop Developer Certificates in Kazakhstan.
What does Big Data Hadoop Developer do?
The following are the responsibilities of Big Data Hadoop Developer
- Develop and code Hadoop applications
- Implement, analyze and monitor data
- Write programs as per system designs
What is the difference: Hadoop vs SQL?
Hadoop is a framework that is used to work with structured, and unstructured big data. Whereas, SQL is a query language that can be used only to work with small structured data.
What are programming languages required for Hadoop?
Hadoop requires 4 programming languages: Java, Python, R, and Scala.
Big Data Hadoop Developer Examination Procedure
Attend intense 3 day Big Data Hadoop Developer Training offered by Unichrone. Fulfil all the requirements before the examination.
Apply for the Big Data Hadoop Developer Exam, conducted by Unichrone, whilst filling up all necessary details. Choose the suitable date for the exam after paying the exam fees.
Get certified Big Data Hadoop Developer after clearing the exam. You will receive an email confirming the status.
What our customers say
Very engaging course with real world context and wonderful examples. Helped to expand my knowledge as a direct result of it.
Super awesome faculty! The best part of the training was lots of real time case studies and interactive sessions. Learnt many new concepts.
Technical Director MCI Ltd
Interesting, Focused, Real life case studies. The material was a comprehensive presentation of Lean principles and Six Sigma.
Head Of Operations
Really interesting, a lot of knowledge about processes, in many areas and departments, helped to understand the subjects easily.
I opted for Instructor led Online Session. The training was very well executed. It was awesome and exceeded my expectations.
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Faculty and Mentors
Our certified and highly experienced trainers are handpicked from various industries to assist aspirants with practical insights into the field, thereby providing a comprehensive understanding of fundamentals and complex terminologies
How to Ace Big Data Hadoop Developer Exam in Kazakhstan
The demand for Big Data Developers is gradually increasing with businesses emphasizing data assets to enhance their productivity. Working with bulk data gives rise to security issues that have to be dealt with alongside data management. Hadoop is an innovative data processing system that caters to all these requirements. Taking Big Data Hadoop Developer Exam is the road to becoming a proficient developer in this field.
How Difficult is the Big Data Hadoop Developer Exam?
A minimum of 70% has to be scored for clearing the Big Data Hadoop Developer Exam in Kazakhstan. This exam tests an individual’s knowledge of the various intricacies involved in Hadoop development. The candidate is required to answer 50 MCQs within a time span of 120 minutes. With this high-tech skill becoming popular worldwide, it is definitely worth pursuing certification through training and exam.Read More