Knowledge Hut

SEPTEMBER 22, 2023

What is Microsoft Azure Data Engineer Certification? 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.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

OCTOBER 3, 2023

Microsoft Azure stands out as a prominent contender in the field of cloud computing. In 2022, Azure had a market share of 23 percent, making it the market’s second most popular cloud infrastructure merchant. money spent by end users on cloud services is estimated to grow from $490.3 As per Gartner, Inc.,

Certification 52

Certification Cloud Computing Machine Learning SQL 52

Knowledge Hut

DECEMBER 29, 2023

Learning Outcomes: You will understand the processes and technology necessary to operate large data warehouses. Engineering and problem-solving abilities based on Big Data solutions may also be taught. Possible Careers: Data analyst Marketing analyst Data mining analyst Data engineer Quantitative analyst 3.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Edureka

JULY 18, 2023

Oxagile specializes in custom software development, with a focus on multi-platform video streaming, AdTech, EdTech, and big data solutions. Oracle’s first product was a relational database management system (RDBMS) called Oracle Database. Revenue: $43.9 Revenue: $43.9

Data Analytics 40

Data Analytics Telecommunication Retail Manufacturing 40

ProjectPro

AUGUST 31, 2018

Research firm Gartner published a document stating that Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and IBM Cloud are innovative tech giants that provide highly cost-competitive alternatives to conventional on-premises hosting infrastructures. Azure vs. AWS - Which cloud is best?

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45

ProjectPro

MAY 31, 2021

Understand the reason behind this drift by working on one of our repository's most practical data engineering project examples. Project Objective: Understand the end-to-end implementation of Machine learning operations (MLOps) by using cloud computing. Analysis: This is the most crucial part of implementing a big data project.

Big Data 52

Big Data Coding Project Hadoop 52