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Introduction to Data Engineering · LearnSpace
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courseraIT и технологии

Introduction to Data Engineering

Курс от IBM
Начальный≈ 14.3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

Data PipelinesExtract, Transform, LoadRelational DatabasesData GovernanceSQLData ProcessingBig DataData StorageNoSQLApache SparkData ArchitectureData WarehousingData IntegrationData LakesDatabasesApache HadoopData Storage TechnologiesOperational DatabasesData ScienceData Store

Программа курса

4 модулей · 93 учебных материалов

01What is Data Engineering?19 материалов

Modern Data Ecosystem and role of Data Engineering

Welcome to Introduction to Data EngineeringВидеоDiscovering Your Path to Data EngineeringDIALOGUEModern Data Ecosystem ВидеоKey Players  in the Data EcosystemВидео

Учитесь у экспертов

Rav Ahuja

CCO & Global Program Director

Introduction to Data Engineering
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Обучение на Coursera

≈ 14.3 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Бенгальский, Узбекский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Немецкий, Пушту, Урду, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Дари, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
Practice Quiz: Data Engineering FundamentalsЗадание
Specializations in Data Engineering Видео
What is Data Engineering?Видео
Practice Quiz: Understanding Data Roles and ResponsibilitiesЗадание
Viewpoints: Defining Data Engineering Видео
Viewpoints: Evolution of Data Engineering Видео
Practice Quiz: Data Engineering Evolution and RolesЗадание
Summary and HighlightsЧтение
Graded Quiz: Data EngineeringЗадание

Responsibilities and Skillsets of a Data Engineer

Responsibilities and Skillsets of a Data EngineerВидеоViewpoints: Skills and Qualities to be a Data EngineerВидеоA Day in the Life of a Data EngineerВидеоPractice Quiz: Data Engineering Responsibilities and SkillsЗаданиеSummary and HighlightsЧтениеGraded Quiz: Application of Data Engineering SkillsЗадание
02The Data Engineering Ecosystem32 материалов

The Data Ecosystem and Languages for Data Professionals

Overview of the Data Engineering EcosystemВидеоTypes of DataВидеоUnderstanding Different Types of File Formats ВидеоSources of DataВидеоLanguages for Data ProfessionalsВидеоViewpoints: Working with Varied Data Sources and TypesВидеоMetadata and Metadata ManagementЧтениеSummary and HighlightsЧтениеPractice QuizЗаданиеGraded QuizЗадание

Data Repositories, Data Pipelines, and Data Integration Platforms

Overview of Data RepositoriesВидеоRDBMSВидеоNoSQLВидеоData Warehouses, Data Marts, and Data LakesВидео(Optional): Data Lakehouses ExplainedВидеоViewpoints: Considerations for Choice of Data RepositoryВидео

[Optional] Create an instance of IBM Db2 database

Optional Labs for IBM Cloud and Db2Чтение[Optional] Obtain IBM Cloud Feature Code and Activate Trial AccountВнешний инструмент[Optional] Hands-on Lab: Create your IBM Cloud accountЧтение[Optional ] Hands-on Lab: Provision an instance of IBM Db2 Lite planЧтение

Big Data Platforms

Foundations of Big DataВидеоBig Data Processing Tools: Hadoop, HDFS, Hive, and SparkВидеоViewpoints: Impact of Big Data on Data EngineeringВидеоSummary and HighlightsЧтениеPractice QuizЗаданиеGraded QuizЗадание
03Data Engineering Lifecycle27 материалов

Data Platforms, Data Stores, and Security

Architecting the Data PlatformВидеоFactors for Selecting and Designing Data StoresВидеоSecurityВидеоViewpoints: Importance of Data SecurityВидеоSummary and HighlightsЧтениеPractice QuizЗаданиеGraded QuizЗадание

Data Collection and Data Wrangling

How to Gather and Import DataВидеоData WranglingВидеоTools for Data WranglingВидеоHands-On Lab: Load data into the Datasette from a CSV fileВнешний инструмент[Optional] Hands-on Lab: Load data into the Db2 Database from a CSV fileЧтениеSummary and HighlightsЧтение

Querying Data, Performance Tuning, and Troubleshooting

Querying and Analyzing DataВидеоPerformance Tuning and TroubleshootingВидеоLab: Explore your dataset using SQL queries using DatasetteВнешний инструмент[Optional] Hands-on Lab: Explore Your Dataset Using SQL Queries in DB2ЧтениеSummary and HighlightsЧтениеPractice QuizЗадание

Governance and Compliance

Governance and ComplianceВидеоSummary and HighlightsЧтениеPractice QuizЗаданиеGraded QuizЗаданиеOptional: Overview of the DataOps MethodologyЧтение
04Career Opportunities and Data Engineering in Action15 материалов

Career Opportunities and Learning Paths

Career Opportunities in Data EngineeringВидеоData Warehousing SpecialistЧтениеData ManagerЧтениеViewpoints: Get into Data EngineeringВидеоData Engineering Learning PathВидеоViewpoints: What Do Employers Look for in a Data EngineerВидеоViewpoints: The Many Paths to Data EngineeringВидеоViewpoints: Advice to Aspiring Data EngineersВидеоSummary and HighlightsЧтениеPractice QuizЗаданиеGraded QuizЗадание

Final Assignment

Final QuizЗаданиеFinal Project Submission Guidelines and DeliverablesЧтениеAI-Graded - Final Submission and EvaluationВнешний инструмент

Course Wrap-Up

Congratulations and Next StepsЧтение
ETL, ELT, and Data PipelinesВидео
Data Integration PlatformsВидео
Viewpoints: Tools, Databases, and Data Repositories of ChoiceВидео
Summary and HighlightsЧтение
Practice QuizЗадание
Graded QuizЗадание
Practice QuizЗадание
Graded QuizЗадание
Graded Quiz Задание