Course information

Big Data for Data Engineering Training ​Course Outline

Module 1: Introduction to Big Data

  • What is Big Data?
  • Types of Big Data
  • Characteristics of Big Data
  • Advantages of Big Data Processing

Module 2: Introduction to Data Engineering

  • What is Data Engineering?
  • What is the Difference Between Data Engineer and Data Scientist?
  • What Does a Data Engineer Do?
  • How to Become a Data Engineer?

Module 3: Big Data Platform Blueprint

  • Ingest
  • Analyse/Process
  • Store
  • Display

Module 4: Developing a Big Data Strategy

  • Steps to Develop a Big Data Strategy
  • Steps for Implementing a Big Data Solution

Module 5: ETL Data Pipeline

  • What is ETL?
  • NoSQL Stores
  • Data Warehouse
  • What are Data Marts?
  • Types of Data Marts
  • OLAP and OLAP Cubes

Module 6: File I/O Processing and Regular Expressions

  • File I/O Processing
  • Regular Expressions

Module 7: Data Visualisation

  • Business Intelligence Tools
  • Identity and Device Management
  • How to Use Web servers to Display Content?

Module 8: Hadoop

  • What is Hadoop?
  • Advantages of Hadoop
  • Hadoop Ecosystem
  • Hortonworks Data Platform

 

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Who should attend this Big Data for Data Engineering Training Course?

The Big Data for Data Engineering Course is specifically tailored for Data Engineers, Software Engineers, and other professionals diving into the vast world of Big Data. The following are the other professionals who can benefit from this course:

  • Data Engineers
  • Data Scientists
  • Software Developers
  • System Administrators
  • Business Analysts
  • DevOps Engineers
  • Project Managers

Prerequisites of the Big Data for Data Engineering Training Course

There are no formal prerequisites for Big Data for Data Engineering Course, but a basic understanding of Big Data concepts can be beneficial.

Big Data for Data Engineering Training ​Course Overview

Big data is a set of data that is large in size and still expanding exponentially with time. The utilisation of big data enables businesses to monitor different consumer-related trends and patterns. Big data engineers communicate with huge data by processing databases in wide-large scale computing environments. It provides organisations with analyses that assist them in evaluating performance, predicting future moves and market trends, and recognising market demographics to support business growth. Adding Big Data skills for Data Engineering in learners' profiles will surely help them climb the ladder of success in value and career opportunities.

Our 1-day Big Data for Data Engineering Training course aims to provide delegates with a comprehensive knowledge of big data and data engineering. During this course, delegates will learn about the key difference between data engineers and data scientists. They will also learn about various essential topics such as characteristics of big data, working with data engineers, ETL data pipeline, PostgreSQL DB, business intelligence tools, Hortonworks data platform, and many more. Our highly professional trainer with years of experience in teaching such courses will conduct this training course and will help you get a complete understanding of big data engineering.

This training will also cover the following concepts:

  • Advantages of big data processing
  • How to become a data engineer?
  • Steps to develop a big data strategy
  • Types of data marts
  • NoSQL stores
  • NodeRED
  • Hadoop ecosystem

At the end of this Big Data for Data Engineering Training course, delegates will be able to develop a big data strategy and implement big data solutions properly. They will also be able to use various webservers to display content effectively and efficiently.

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What’s included in this Big Data for Data Engineering Training Course?

  • World-Class Training Sessions from Experienced Instructors 
  • Big Data for Data Engineering Certificate 
  • Digital Delegate Pack

Why choose us

Our Munich venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Munich is the largest and capital city of the German state Bavaria. It has an estimated population of about 1.5 million inhabitants; making Munich the third largest city in Germany, after Berlin and Hamburg. The educational system in Munich is also run by the German state and is compulsory for children to attend school up to the age of 18; and offers many public and private schools for children. The school system and is divided into four levels: Kindergarten Education is for children aged from three to 6, Elementary Education (Grundschule) is from Grade 1 to Grade 4, After Elementary School, children can go onto one of the three types of schools, Hauptschule, Realschule or Gymnasium, depending on their academic ability, academic achievement, self-confidence, the ability to work independently, and student’s family wishes; These Secondary education are form Grades 5 to 9 or 10 and is compulsory up to the age of 18, and Higher Education.

The city also offers scientific research institutions including The Max Planck Society which is an independent non-profit German research organisation. Munich has many universities including The Ludwig Maximilian University (LMU), also known as University of Munich, and The Technische Universität München (TUM); the University of Munich was established in 1472 making it the oldest university in the German state. The Ministries of Education and Research of the Federation and the German states (Länder) awarded these two of the first three German universities the title ‘Elite University’. The Ludwig Maximilian University (LMU) and the Technische Universität München (TUM) and the Technical University of Karlsruhe (Karlsruhe Institute of Technology) are considered Elite Universities thus have grater chances for research funds.

Munich is well known for the amount of Nobel Prize laureates starting with Nobel Prize laureates from 1901 including Wilhelm Conrad Röntgen to 2005 with Theodor Hänsch.

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Address

Novotel Hotel
Munich Airport
Nordallee 29
Munich
85356 DE

T: +49 8000101090

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Big Data For Data Engineering Training | Big Data For Data Engineering Course in Munich. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Big Data For Data Engineering Training | Big Data For Data Engineering Course in Munich, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Experience the most sought-after learning style with The Knowledge Academy's Big Data For Data Engineering Training | Big Data For Data Engineering Course in Munich. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Big Data For Data Engineering Training | Big Data For Data Engineering Course in Munich sessions.

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Highly experienced trainers

Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

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State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

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Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

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Great value for money

Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

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Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

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Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

What our customers are saying

Big Data For Data Engineering Training | Big Data For Data Engineering Course in Munich FAQs

Big Data is a set of data that is large in size and still expanding exponentially with time. The usage of big data enables businesses to monitor different consumer-related trends and patterns.
In this Big Data for Data Engineering Training course, there are no formal prerequisites.
This Big Data for Data Engineering Training is designed for anyone who wants to gain in-depth knowledge about big data and wants to begin a career in data engineering.
Volume, variety, velocity, value, and veracity are the five V’s for building big data for a large business.
Big Data Engineer communicate with huge data processing databases and systems in wide-scale environments of computing. It provides organisations with analyses that assist them in evaluating performance, predicting future moves and market trends, and recognising market demographics.
Database systems, data warehousing solutions, ETL tools, machine learning, data APIs, knowledge of algorithms and data structures are the skills needed for becoming a data engineer.
This Big Data for Data Engineering Training course aims to provide you with a comprehensive knowledge of big data and data engineer. You will also learn about various essential topics such as working as a data engineer, PostgreSQL DB, ETL data pipeline, business intelligence tools, and many more.
The training fees for Big Data for Data Engineering Trainingin Munich starts from €2295
The Knowledge Academy is the Leading global training provider for Big Data for Data Engineering Training.
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Why choose us

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Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

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Many delivery methods

Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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