ProjectPro

SEPTEMBER 6, 2021

Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. Amazon brought innovation in technology and enjoyed a massive head start compared to Google Cloud, Microsoft Azure , and other cloud computing services. Let’s get started! Launched in 2006.

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

Knowledge Hut

JULY 26, 2023

To ensure data consistency and reliability, the ACID (Atomicity, Consistency, Isolation, and Durability) properties are maintained. Database Application Providers- (Amazon, Facebook): Amazon and Facebook are two well-known organizations that offer comprehensive database application solutions. Spatial Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

ProjectPro

JULY 15, 2021

You can also exchange images securely utilizing the application. It is recommended to use SQL database for data storage as it comes with built-in security tools and features. Popular ride-hailing services, such as Uber and Ola, have used such cloud-based analytics applications for data-driven decision-making.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

phData: Data Engineering

JULY 18, 2023

CDWs are designed for running large and complex queries across vast amounts of data, making them ideal for centralizing an organization’s analytical data for the purpose of business intelligence and data analytics applications. This noticeably saves time on copying and drastically reduces data storage costs.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. What are the main components of a big data architecture?

Big Data 52

Big Data Coding Project Hadoop 52