Chevron Left
Volver a Introduction to Data Engineering

Opiniones y comentarios de aprendices correspondientes a Introduction to Data Engineering por parte de Habilidades en redes de IBM

4.8
estrellas
1,098 calificaciones

Acerca del Curso

This course introduces you to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. You will gain an understanding of the modern data ecosystem and the role Data Engineers, Data Scientists, and Data Analysts play in this ecosystem. The Data Engineering Ecosystem includes several different components. It includes disparate data types, formats, and sources of data. Data Pipelines gather data from multiple sources, transform it into analytics-ready data, and make it available to data consumers for analytics and decision-making. Data repositories, such as relational and non-relational databases, data warehouses, data marts, data lakes, and big data stores process and store this data. Data Integration Platforms combine disparate data into a unified view for the data consumers. You will learn about each of these components in this course. You will also learn about Big Data and the use of some of the Big Data processing tools. A typical Data Engineering lifecycle includes architecting data platforms, designing data stores, and gathering, importing, wrangling, querying, and analyzing data. It also includes performance monitoring and finetuning to ensure systems are performing at optimal levels. In this course, you will learn about the data engineering lifecycle. You will also learn about security, governance, and compliance. Data Engineering is recognized as one of the fastest-growing fields today. The career opportunities available in the field and the different paths you can take to enter this field are discussed in the course. The course also includes hands-on labs that guide you to create your IBM Cloud Lite account, provision a database instance, load data into the database instance, and perform some basic querying operations that help you understand your dataset....

Principales reseñas

MF

25 de mar. de 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.

OL

12 de oct. de 2021

I am currently studying Chemical Engineering. However, after going for industry training as a data analyst, I decided to venture more in this direction and I really learn a lot from this course.

Filtrar por:

201 - 225 de 264 revisiones para Introduction to Data Engineering

por sarika s

31 de jul. de 2021

por Boban G

19 de abr. de 2022

por son a

22 de jun. de 2022

por Budi S

15 de jun. de 2022

por James N N

15 de jun. de 2022

por Adrian A

8 de abr. de 2022

por chukka A

18 de ene. de 2022

por Software d u - A o M ( G

29 de sep. de 2022

por REFAH S A A

9 de sep. de 2022

por Mohamed Z

18 de jun. de 2022

por Marcos

28 de abr. de 2022

por 유민규

18 de ene. de 2022

por Hanan k j a

9 de may. de 2022

por Guilherme C d S B

31 de oct. de 2021

por Kirat M

3 de sep. de 2022

por Abhilas S

8 de ago. de 2022

por Emmanuel E D

16 de sep. de 2021

por Lírick P

2 de sep. de 2021

por Daniela M

25 de sep. de 2022

por thani A

10 de ago. de 2022

por Domenic S

2 de nov. de 2021

por Marta L

26 de ago. de 2021

por Hang Y

17 de mar. de 2022

por Sandeep P

25 de ago. de 2021

por Jonathan P

19 de sep. de 2021