U-Next
MARCH 1, 2023
Let’s discuss some of the key responsibilities of a Data Engineer: Data Engineers are responsible for deploying the solutions they design and build, and they should have a good knowledge of cloud platforms like AWS, Azure, etc. What is the difference between a relational and a non-relational database?
Knowledge Hut
JUNE 23, 2023
Let us look at the steps to becoming a data engineer: Step 1 - Skills for Data Engineer to be Mastered for Project Management Learn the fundamentals of coding skills, database design, and cloud computing to start your career in data engineering. Pathway 2: How to Become a Certified Data Engineer?
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Silectis
JANUARY 3, 2021
BI (Business Intelligence) Strategies and systems used by enterprises to conduct data analysis and make pertinent business decisions. Big Data Large volumes of structured or unstructured data. Big Query Google’s cloud data warehouse. Cassandra A database built by the Apache Foundation.
Knowledge Hut
JULY 26, 2023
Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. Key-value stores, columnar stores, graph-based databases, and wide-column stores are common classifications for NoSQL databases.
Knowledge Hut
SEPTEMBER 22, 2023
The Azure Data Engineering Certificate is designed for data engineers and developers who wish to show that they are experts at creating and implementing data solutions using Microsoft Azure data services. The best Cloud Computing courses will pave way for a detailed learning.
Edureka
FEBRUARY 9, 2023
Certified Azure Data Engineers are frequently hired by businesses to convert unstructured data into useful, structured data that data analysts and data scientists can use. Microsoft Azure is a modern cloud platform that provides a wide range of services to businesses.
AltexSoft
JUNE 26, 2023
From the perspective of data science, all miscellaneous forms of data fall into three large groups: structured, semi-structured, and unstructured. Key differences between structured, semi-structured, and unstructured data. They can be accumulated in NoSQL databases like MongoDB or Cassandra.
Expert insights. Personalized for you.
75 
Let's personalize your content