Knowledge Hut

JANUARY 9, 2024

Nowadays, the adoption of cloud computing solutions has become the norm for most companies. It allows them to seamlessly manage their data, build and deploy applications and enhance the overall performance of their business. Microsoft Azure is a leading global public cloud computing platform. The answer is No.

Cloud Computing 52

Cloud Computing Computer Science Certification Unstructured Data 52

Cloudera

JANUARY 26, 2022

The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. . But how did the hybrid cloud come to dominate the data sector? . In 2008, Cloudera was born.

Cloud 85

Cloud Cloud Computing Hadoop Data Warehouse 85

Knowledge Hut

DECEMBER 26, 2023

Additionally, they should have extensive knowledge of server-side technologies, such as Apache and NGINX, and database systems, such as MySQL and MongoDB. This includes everything from the front-end design and user experience to the back-end data storage and security. It was founded in 2008 by Deepinder Goyal and Pankaj Chaddah.

Food 52

Food Programming Language Transportation Manufacturing 52

Knowledge Hut

MARCH 27, 2024

APACHE Hadoop Big data is being processed and stored using this Java-based open-source platform, and data can be processed efficiently and in parallel thanks to the cluster system. Amazon, Microsoft, IBM, and other tech giants use it today as one of the best tools for big data analysis.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

SEPTEMBER 6, 2021

More companies and startups are emerging now that offer cloud-related solutions. Amazon and Google are the big bulls in cloud technology, and the battle between AWS and GCP has been raging on for a while. Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Knowledge Hut

JUNE 26, 2023

From analysts to Big Data Engineers, everyone in the field of data science has been discussing data engineering. When constructing a data engineering project, you should prioritize the following areas: Multiple sources of data (APIs, websites, CSVs, JSON, etc.) Master data processing methods.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98