Introduction to Data Engineering

Sichern Sie sich eines unserer besten Angebote mit Coursera Plus für 199 $ (normalerweise 399 $). Jetzt sparen.

kurs ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen. Sehen Sie sich die Sprachen an, die wir anbieten.

Introduction to Data Engineering

Dieser Kurs ist Teil mehrerer Programme.

Dozent: Rav Ahuja

271.496 bereits angemeldet

Bei enthalten

Mehr erfahren

4 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

3,662 Bewertungen

Stufe Anfänger

Empfohlene Erfahrung

Flexibler Zeitplan

1 Woche bei 10 Stunden eine Woche

In Ihrem eigenen Lerntempo lernen

4 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

3,662 Bewertungen

Stufe Anfänger

Empfohlene Erfahrung

Flexibler Zeitplan

1 Woche bei 10 Stunden eine Woche

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

List basic skills required for an entry-level data engineering role.
Discuss various stages and concepts in the data engineering lifecycle.
Describe data engineering technologies such as Relational Databases, NoSQL Data Stores, and Big Data Engines.
Summarize concepts in data security, governance, and compliance.

Kompetenzen, die Sie erwerben

Kategorie: Data Processing
Kategorie: Data Pipelines
Kategorie: Data Security
Kategorie: Data Store
Kategorie: Database Design
Kategorie: Databases
Kategorie: Data Governance
Kategorie: Data Warehousing
Kategorie: Data Storage
Kategorie: SQL
Kategorie: Big Data
Kategorie: Extract, Transform, Load
Kategorie: Data Architecture
Kategorie: Data Integration
Kategorie: Data Science

Werkzeuge, die Sie lernen werden

Kategorie: Relational Databases
Kategorie: Apache Hadoop
Kategorie: NoSQL
Kategorie: Data Lakes
Kategorie: Apache Spark

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Bewertungen

23 Zuweisungen¹

KI-bewertet siehe Haftungsausschluss

Unterrichtet in Englisch

95%

Den meisten Lernenden hat dieser Kurs gefallen

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

Logos von Petrobras, TATA, Danone, Capgemini, P&G und L'Oreal

Erweitern Sie Ihre Fachkenntnisse

Dieser Kurs ist als Teil verfügbar

Wenn Sie sich für diesen Kurs anmelden, müssen Sie auch ein bestimmtes Programm auswählen.

Lernen Sie neue Konzepte von Branchenexperten
Gewinnen Sie ein Grundverständnis bestimmter Themen oder Tools
Erwerben Sie berufsrelevante Kompetenzen durch praktische Projekte
Erwerben Sie ein Berufszertifikat zur Vorlage

In diesem Kurs gibt es 4 Module

Start your journey in one of the fastest growing professions today with this beginner-friendly Data Engineering course! You will be introduced to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in the ecosystem.

You will begin this course by understanding what is data engineering as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in this exciting field. Next you will learn about the data engineering ecosystem, the different types of data structures, file formats, sources of data, and the languages data professionals use in their day-to-day tasks. You will become familiar with the components of a data platform and gain an understanding of several different types of data repositories such as Relational (RDBMS) and NoSQL databases, Data Warehouses, Data Marts, Data Lakes and Data Lakehouses. You’ll then learn about Big Data processing tools like Apache Hadoop and Spark. You will also become familiar with ETL, ELT, Data Pipelines and Data Integration. This course provides you with an understanding of a typical Data Engineering lifecycle which includes architecting data platforms, designing data stores, and gathering, importing, wrangling, querying, and analyzing data. You will also learn about security, governance, and compliance. You will learn about career opportunities in the field of Data Engineering and the different paths that you can take for getting skilled as a Data Engineer. You will hear from several experienced Data Engineers, sharing their insights and advice. By the end of this course, you will also have completed several hands-on labs and worked with a relational database, loaded data into the database, and performed some basic querying operations.

In this module, you will learn about the different entities that come together to form a modern data ecosystem and the role Data Engineers, Data Scientists, Data Analysts, Business Analysts, and Business Intelligence Analysts play in this ecosystem. You will learn what data engineering is and the key tasks in a data engineering lifecycle. You will also gain an understanding of the responsibilities of a data engineer, the skillsets they need in order to be successful, and what a typical day in the life of a data engineer looks like.

Das ist alles enthalten

10 Videos2 Lektüren6 Aufgaben

10 VideosInsgesamt 56 Minuten

Welcome to Introduction to Data Engineering3 Minuten
Modern Data Ecosystem 5 Minuten
Key Players in the Data Ecosystem6 Minuten
Specializations in Data Engineering 10 Minuten
What is Data Engineering?4 Minuten
Viewpoints: Defining Data Engineering 4 Minuten
Viewpoints: Evolution of Data Engineering 8 Minuten
Responsibilities and Skillsets of a Data Engineer5 Minuten
Viewpoints: Skills and Qualities to be a Data Engineer7 Minuten
A Day in the Life of a Data Engineer4 Minuten

2 LektürenInsgesamt 20 Minuten

Summary and Highlights10 Minuten
Summary and Highlights10 Minuten

6 AufgabenInsgesamt 72 Minuten

Graded Quiz: Data Engineering20 Minuten
Graded Quiz: Application of Data Engineering Skills16 Minuten
Practice Quiz: Data Engineering Fundamentals8 Minuten
Practice Quiz: Understanding Data Roles and Responsibilities10 Minuten
Practice Quiz: Data Engineering Evolution and Roles8 Minuten
Practice Quiz: Data Engineering Responsibilities and Skills10 Minuten

In this module, you will learn about the data engineering ecosystem, the different types of data structures, file formats, sources of data, and the languages data professionals use in their day-to-day tasks. You will gain an understanding of several different types of data repositories such as relational and non-relational databases, data warehouses, data marts, and data lakes. You will learn about ETL and ELT processes, data pipelines, and data integration platforms. You will also gain an understanding of what big data is, and the tools used for processing and storing big data. At the end of this module, you will be guided to create an IBM Cloud account, and provision an instance of IBM Db2.

Das ist alles enthalten

18 Videos7 Lektüren6 Aufgaben1 App-Element

18 VideosInsgesamt 113 Minuten

Overview of the Data Engineering Ecosystem5 Minuten
Types of Data4 Minuten
Understanding Different Types of File Formats 5 Minuten
Sources of Data8 Minuten
Languages for Data Professionals9 Minuten
Viewpoints: Working with Varied Data Sources and Types7 Minuten
Overview of Data Repositories5 Minuten
RDBMS8 Minuten
NoSQL8 Minuten
Data Warehouses, Data Marts, and Data Lakes7 Minuten
(Optional): Data Lakehouses Explained9 Minuten
Viewpoints: Considerations for Choice of Data Repository6 Minuten
ETL, ELT, and Data Pipelines7 Minuten
Data Integration Platforms5 Minuten
Viewpoints: Tools, Databases, and Data Repositories of Choice7 Minuten
Foundations of Big Data5 Minuten
Big Data Processing Tools: Hadoop, HDFS, Hive, and Spark7 Minuten
Viewpoints: Impact of Big Data on Data Engineering4 Minuten

7 LektürenInsgesamt 70 Minuten

Metadata and Metadata Management10 Minuten
Summary and Highlights10 Minuten
Summary and Highlights10 Minuten
Optional Labs for IBM Cloud and Db210 Minuten
[Optional] Hands-on Lab: Create your IBM Cloud account10 Minuten
[Optional ] Hands-on Lab: Provision an instance of IBM Db2 Lite plan10 Minuten
Summary and Highlights10 Minuten

6 AufgabenInsgesamt 57 Minuten

Graded Quiz10 Minuten
Graded Quiz10 Minuten
Graded Quiz10 Minuten
Practice Quiz10 Minuten
Practice Quiz12 Minuten
Practice Quiz5 Minuten

1 App-ElementInsgesamt 60 Minuten

[Optional] Obtain IBM Cloud Feature Code and Activate Trial Account60 Minuten

In this module, we will walk you through the data engineering lifecycle. You will learn about the architecture of a data platform, factors for selecting and designing data stores, and the different facets of security as it applies to data platforms and data lifecycle management. You will also learn about the process, steps, and tools used for gathering, importing, wrangling, and querying data. You will gain an understanding of performance monitoring and the steps you can take to troubleshoot performance issues. We will also talk about governance regulations, why we need them, and how technology enables compliance to regulations. During the course of this module, you will be guided to load data from a CSV file into the IBM Db2 instance you created in the previous module. You will also be guided to explore your dataset using some basic SQL queries that will be provided to you.

Das ist alles enthalten

10 Videos7 Lektüren8 Aufgaben2 App-Elemente

10 VideosInsgesamt 64 Minuten

Architecting the Data Platform7 Minuten
Factors for Selecting and Designing Data Stores7 Minuten
Security6 Minuten
Viewpoints: Importance of Data Security4 Minuten
How to Gather and Import Data7 Minuten
Data Wrangling7 Minuten
Tools for Data Wrangling6 Minuten
Querying and Analyzing Data6 Minuten
Performance Tuning and Troubleshooting7 Minuten
Governance and Compliance8 Minuten

7 LektürenInsgesamt 80 Minuten

Summary and Highlights10 Minuten
[Optional] Hands-on Lab: Load data into the Db2 Database from a CSV file15 Minuten
Summary and Highlights10 Minuten
[Optional] Hands-on Lab: Explore Your Dataset Using SQL Queries in DB215 Minuten
Summary and Highlights10 Minuten
Summary and Highlights10 Minuten
Optional: Overview of the DataOps Methodology10 Minuten

8 AufgabenInsgesamt 54 Minuten

Graded Quiz10 Minuten
Graded Quiz10 Minuten
Graded Quiz 10 Minuten
Graded Quiz5 Minuten
Practice Quiz6 Minuten
Practice Quiz6 Minuten
Practice Quiz5 Minuten
Practice Quiz2 Minuten

2 App-ElementeInsgesamt 30 Minuten

Hands-On Lab: Load data into the Datasette from a CSV file15 Minuten
Lab: Explore your dataset using SQL queries using Datasette15 Minuten

In this module, you will learn about career opportunities in the field of Data Engineering and the different paths that you can take for getting skilled as a Data Engineer. At the end of the module, you will be presented with the final graded assignment which is divided into two parts. The first part consists of a set of quiz questions, and the second part includes open-ended questions that will be reviewed and graded through an AI-graded, auto-scored assignment.

Das ist alles enthalten

6 Videos5 Lektüren3 Aufgaben1 App-Element

6 VideosInsgesamt 36 Minuten

Career Opportunities in Data Engineering6 Minuten
Viewpoints: Get into Data Engineering8 Minuten
Data Engineering Learning Path4 Minuten
Viewpoints: What Do Employers Look for in a Data Engineer6 Minuten
Viewpoints: The Many Paths to Data Engineering6 Minuten
Viewpoints: Advice to Aspiring Data Engineers7 Minuten

5 LektürenInsgesamt 39 Minuten

Data Warehousing Specialist15 Minuten
Data Manager10 Minuten
Summary and Highlights10 Minuten
Final Project Submission Guidelines and Deliverables2 Minuten
Congratulations and Next Steps2 Minuten

3 AufgabenInsgesamt 75 Minuten

Graded Quiz20 Minuten
Final Quiz50 Minuten
Practice Quiz5 Minuten

1 App-ElementInsgesamt 20 Minuten

AI-Graded - Final Submission and Evaluation20 Minuten

Erwerben Sie ein Karrierezertifikat.

Fügen Sie dieses Zeugnis Ihrem LinkedIn-Profil, Lebenslauf oder CV hinzu. Teilen Sie sie in Social Media und in Ihrer Leistungsbeurteilung.

Dozent

Lehrkraftbewertungen

(1,220 Bewertungen)

Rav Ahuja

IBM

55 Kurse5.128.154 Lernende

von

IBM

Mehr von Data Management entdecken

Status: Kostenloser Testzeitraum
DeepLearning.AI
Introduction to Data Engineering
Kurs
Status: Kostenloser Testzeitraum
Packt
Introduction to Data Engineering on AWS
Kurs
Status: Kostenloser Testzeitraum
Coursera
Data Engineering: Pipelines, ETL, Hadoop
Kurs
Status: Kostenloser Testzeitraum
Edureka
Introduction to Analytics Engineering
Kurs

Warum entscheiden sich Menschen für Coursera für ihre Karriere?

Felipe M.

Lernender seit 2018

„Es ist eine großartige Erfahrung, in meinem eigenen Tempo zu lernen. Ich kann lernen, wenn ich Zeit und Nerven dazu habe.“

Jennifer J.

Lernender seit 2020

„Bei einem spannenden neuen Projekt konnte ich die neuen Kenntnisse und Kompetenzen aus den Kursen direkt bei der Arbeit anwenden.“

Larry W.

Lernender seit 2021

„Wenn mir Kurse zu Themen fehlen, die meine Universität nicht anbietet, ist Coursera mit die beste Alternative.“

Chaitanya A.

„Man lernt nicht nur, um bei der Arbeit besser zu werden. Es geht noch um viel mehr. Bei Coursera kann ich ohne Grenzen lernen.“

Bewertungen von Lernenden

5 stars
79,88 %
4 stars
16,38 %
3 stars
2,29 %
2 stars
0,43 %
1 star
1 %

Zeigt 3 von 3662 an

Geprüft am 7. Apr. 2024

Very good introduction to Data Engineering. Not too technical, but a very good foundation of both technical concepts and soft skills required in becoming a successful data engineer.

Geprüft am 25. Sep. 2021

I felt the course was the perfect introduction for someone like me that has been on the sales side of most software. I feel that it wasnt ovewhelming at all, and I mostly enjoyed the labs.

Geprüft am 25. März 2022

This course is optimal for the foundations and understanding of Data Engineering. Please take it and absorb all the knowledge and be amazed about your future with the Data Engineer certification.

Weitere Bewertungen anzeigen

Häufig gestellte Fragen

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Weitere Fragen

Besuchen Sie die das Hilfe-Center für Kursteilnehmer.

Finanzielle Unterstützung verfügbar,

¹ Einige Aufgaben in diesem Kurs werden mit AI bewertet. Für diese Aufgaben werden Ihre Daten in Übereinstimmung mit Datenschutzhinweis von Courseraverwendet.