Knowledge Hut

MARCH 28, 2024

Azure Data Engineer Career Demands & Benefits Azure has become one of the most powerful platforms in the industry, where Microsoft offers a variety of data services and analytics tools. As a result, organizations are looking to capitalize on cloud-based data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

MARCH 26, 2024

Cloud Solutions Architect Role Overview: Design and implement cloud-based solutions leveraging platforms like AWS, Azure, or Google Cloud to meet business objectives. The Cloud Computing course syllabus covers most aspects of this field in detail.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Knowledge Hut

JUNE 23, 2023

You should be thorough with technicalities related to relational and non-relational databases, Data security, ETL (extract, transform, and load) systems, Data storage, automation and scripting, big data tools, and machine learning. You should be able to work on complex projects and design and implement data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

SEPTEMBER 21, 2023

To accomplish this, we leverage the power of Azure's data engineering tools and services. From Azure Data Factory for data integration and orchestration to Azure Databricks for large-scale data transformations, we use a diverse toolkit to engineer efficient data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Databand.ai

DECEMBER 13, 2022

He also has more than 10 years of experience in big data, being among the few data engineers to work on Hadoop Big Data Analytics prior to the adoption of public cloud providers like AWS, Azure, and Google Cloud Platform. He is also an AWS Certified Solutions Architect and AWS Certified Big Data expert.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Google Cloud Build . . Meta-Orchestration . DevOps Deployment Tools. Azure DevOps.

Consulting 123

Consulting Machine Learning Data Science Data Pipeline 123

ProjectPro

JANUARY 31, 2022

The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. Snowflake is a data warehousing platform that runs on the cloud.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52