Big Data Hadoop Developer Training in Germany

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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 Germany

Earning the Big Data Hadoop Developer Certification in Germany 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 Germany

Unichrone offers this Big Data and Hadoop Developer Certification Training in Germany 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 Germany.

Key Features of Big Data Hadoop Developer Certification Training in Germany

  • 3 Day Interactive Instructor –led Online Classroom or Group Training in Germany
  • 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 Germany
Corporate Group Training
Big Data Developer Training in Germany
  • Customized Training
  • Live Instructor-led
  • Onsite / Online
  • Flexible Dates
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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
Total Questions 50
Passing Score 70%
Exam Duration 120 Mins

Big Data Hadoop Developer Certification Benefits

Higher Salary

With this renowned credential, aspirants earn higher salary packages when compared to non-certified professionals in the field

Individual accomplishments

Aspirants can look for higher career prospects at an early stage in their life with the most esteemed certification

Gain credibility

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

Sophisticated skillset

With this certification, individuals acquire refined skills and techniques required to play their part in an organization

Big Data Hadoop Developer Course Curriculum

  • Topics

    • · Introduction to Big Data
    • · Types of Data
    • · Comparison with RDBMS
    • · Hadoop Features
    • · Hadoop Ecosystem
    • · Hadoop Core Components

  • Topics

    • · Hadoop Distributed File System
    • · HDFS Files and Blocks
    • · HDFS Components and Architecture
    • · HDFS File Read-Write
    • · HDFS Commands

  • Topics

    • · Mapreduce
    • · Map-Reduce Operation
    • · Map-reduce Example
    • · HDFS Input Splits
    • · MapReduce Architecture
    • · Combiners and Partitioners
    • · MapReduce Data Flow
    • · MapReduce Examples

  • Topics

    • · 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

  • Topics

    • · 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

  • Topics

    • · 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

  • Topics

    • · 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 Germany?

This Big Data Hadoop Developer Certification Training Course in Germany 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 Germany?

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 Germany.

What are the prerequisites for attending the Big Data Hadoop Developer Certification Training Course in Germany?

There are no prerequisites for attending the Big Data Hadoop Developer Certification Training Course in Germany

When can I take up mock tests?

There are no prerequisites for attending the Big Data Hadoop Developer Certification Training Course in Germany.

What is the duration of the Big Data Hadoop Developer Certification Training Course in Germany?

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 Germany.

Does the Big Data Hadoop Developer Certification Training Course in Germany include practical lab?

Yes. Our Big Data Hadoop Developer Certification Training Course in Germany 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 Germany?

Unichrone offers Big Data Hadoop Developer Training in online and offline modes in Germany. 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

  • Open-source
  • Highly scalable
  • Availability of fault tolerance
  • Ensures data reliability
  • Easy to use
  • Uses data locality
  • Cost-effective
  • 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 Germany?

After successfully completing the Big Data Hadoop Developer Certification Training Course in Germany, 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 Germany.

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

PREPARE

Attend intense 3 day Big Data Hadoop Developer Training offered by Unichrone. Fulfil all the requirements before the examination.

APPLY

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.

ACQUIRE

Get certified Big Data Hadoop Developer after clearing the exam. You will receive an email confirming the status.

What our customers say

Kenneth

Kenneth Beard

Project Manager

Very engaging course with real world context and wonderful examples. Helped to expand my knowledge as a direct result of it.

Tom

Tom Eeartman

Head-Supplier Management

Super awesome faculty! The best part of the training was lots of real time case studies and interactive sessions. Learnt many new concepts.

Pavit

Pavit Kenth

Technical Director MCI Ltd

Interesting, Focused, Real life case studies. The material was a comprehensive presentation of Lean principles and Six Sigma.

Saad

Saad Alsheddi

Head Of Operations

Really interesting, a lot of knowledge about processes, in many areas and departments, helped to understand the subjects easily.

Jernej

Jernej Hercog

Manager-Engineering Services

I opted for Instructor led Online Session. The training was very well executed. It was awesome and exceeded my expectations.

Register for a free session with our trainer

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

1200+

Instructors

20+

Minimum Experience

100+

Session Expertise

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 Germany.

No. There is no separate fee for the Big Data Hadoop Developer Certification Examination as it is included in the course fee.

Companies that thrive on large-scale data management are always in search of data specialists. Big Data Hadoop Developer Training endows one with qualities that are considered suitable for massive data handling.

Professionals with Big Data Hadoop Developer Certification are preferred over non-certified individuals. MNCs can rely on their expertise in developing the Hadoop infrastructure for the smooth execution of data-related functions.

Individuals going through Big Data Hadoop Developer Training in Germany are at advantage. With the market for Hadoop consistently growing, it is wise for them to become experts in it.

Yes. Our Big Data Hadoop Developer Certification Training Course in Germany includes a practical lab that involves operating and managing the Hadoop architecture in practice.

There is no need to renew the Big Data Hadoop Developer Certification.

Big Data Hadoop Developer Certification enables one to make the most of Hadoop’s compatibility with various platforms. Such accredited individuals are responsible for creating data systems based on Hadoop’s concepts. Financial enterprises working with bulk data greatly benefit from such data storage infrastructures.

Attaining Big Data Developer Hadoop Certification in Germany one achieves a versatile career. The certification holder can explore these sectors throughout the time span of his/her career.

Otherwise high capital investment by an enterprise can be reduced. Trained Big Data Hadoop Developers prevent organizations from purchasing expensive servers with high data processing capacities.

Engross

Manage Big Data

Use our training and certification course in Big Data Hadoop Developer to learn about the significance of Big Data and the importance of Big Data Analytics. Improve the productivity of your organization or your own business by managing Big Data.

Devise

Derive meaningful information

Our Big Data Hadoop Developer Training will help IT professionals get a comprehensive understanding of Big Data Analytics and derive meaningful information out of Big Data. Learn to improve business productivity by predicting consumer buying behavior and market trends.

Prove

Validate your knowledge in Big Data Analytics

With the help of our Big Data Hadoop Developer Certification Training Course in Germany, earn the industry-recognized Big Data Hadoop Developer Certification. Validate your knowledge in Big Data Analytics by earning the coveted credential.

Gauge

Get proof of your skills

Earn better than your non-certified counterparts by providing proof of your skills in Big Data Analytics through the globally recognized Big Data Hadoop Developer Certification. Reach your career goals and fulfill your life objectives.

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How to Ace Big Data Hadoop Developer Exam in Germany

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 Germany. 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.

Big Data Hadoop Developer Training in Germany is not only essential for appearing at the exam but also benefits an individual in multiple ways:

  • The trainees become capable of implementing Hadoop projects right from their inception to execution.
  • They gain command over Hive, Pig, and other such tools for performing data analytics.
  • Every concept of Apache Hadoop is mastered by them.
  • The art of utilizing Flume and Squoop is taught to them for becoming acquainted with data loading methods.

The Big Data Hadoop Developer Training program is vital for mastering the functions of file distribution within the Hadoop framework. Individuals get updated with the most recent features of Hadoop’s latest version 2.0. They further learn the application of best practices by creating a suitable Hadoop framework for organizations. The Big Data Hadoop Developer exam can be taken up by professionals belonging to different IT domains like mainframe, software testing, or data warehouse.

Organizations require only those individuals with the right potential in building Hadoop. One is able to exhibit these skills after having achieved success in the exam. Much is dependent on how an individual prepares oneself for the examination. The exam is formatted in a manner that analyzes one’s skills to the core.

How Can the Big Data Hadoop Developer Exam be Cleared?

Candidates must aim at scoring high to stand out from the rest in the candidate lists of recruiters. It is the score that judges the degree of expertise and knowledge acquired during the training program. Here, are the steps to achieving the desired results that a candidate should undergo:

Interactive Education

Attending a professional training course surpasses traditional learning methods in terms of an interactive study environment. The training program exposes an individual to like-minded professionals that come in handy for developing future networks. Both classroom and online training sessions are made available to suit the study timings as the candidates can be even working professionals.

Practical Knowledge

The Big Data Hadoop Developer Exam in Germany mostly evaluates practical abilities rather than theoretical knowledge. After all, those passing the exam will be employed by organizations to assist them with Hadoop framework implementation and maintenance.

This knowledge is gained by going through case studies, classroom projects, and the experiences of seasoned course instructors. Study materials cannot provide the knowledge received through word of mouth. The trainers fully explain what to apply when using real-time scenarios. Trainers are actively associated with Hadoop operations in one way or the other. They are the living educational resources for those aspiring to the Big Data Developer job.

Simulation Tests

Exam rehearsals are an integral part of the training course and are most crucial for boosting a candidate’s confidence. The mock exams are beneficial in letting candidates learn from their mistakes. Regular practice leads to time management and the ability to answer the maximum number of questions.

Benefits of the Big Data Hadoop Developer Exam

This exam is no mere stepping stone to achieving certification but a ladder for reaching professional heights.

Job Satisfaction

Big Data Hadoop Developer Certification in Germany is obtained on clearing the exam successfully. It is a validation of the competencies that organizations search for in individuals. If not for the certification, one can take up the exam to keep up with the IT innovations. The knowledge acquired in the course of exam preparation is valuable for any IT professional.

Lucrative Pay

Big Data Hadoop Developer Exam and certification prove an individual’s eligibility of executing Hadoop implementation in corporate offices. Their tasks are quite challenging and are compensated with incredibly high pay packages.

Versatile Career

The competencies gained in the course of training, open the door to employment opportunities in multiple industries. Individuals taking up the exam are at the advantage of having gained command over this evolving technology of data management and security.

Conclusion:

In this data-driven era, there is the least possibility of Big Data Hadoop Developers becoming obsolete. Individuals can attend the Big Data Hadoop Developer Training program to enrich their professional knowledge and gain hands-on experience. Such professionals can further prosper in their IT careers to the fullest with capabilities that are welcomed by enterprises.

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