Knowledge Hut

NOVEMBER 2, 2023

AWS or the Amazon Web Services is Amazon’s cloud computing platform that offers a mix of packaged software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). There are several data transport solutions designed to securely transfer huge amounts of data.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

Knowledge Hut

JANUARY 18, 2024

It might not be one of the Data Science service companies, but it is rooted in analyzing user data on every level. For example, Amazon Web Service or AWS is a subsidiary of Amazon, which manages this part of its business and is the largest shareholder in the cloud service industry.

Data Science 98

Data Science Amazon Web Services Big Data Finance 98

Knowledge Hut

APRIL 23, 2024

Cloud Computing Examples Cloud computing consists of several examples that help in data storage over the internet seamlessly. Infrastructure-as-a-Service (Saas): Amazon Web Services (AWS) IaaS is a business model that aims to deliver IT infrastructure in the form of storage and network resources.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services AWS 52

ProjectPro

FEBRUARY 8, 2023

Smooth Integration with other AWS tools AWS Glue is relatively simple to integrate with data sources and targets like Amazon Kinesis, Amazon Redshift, Amazon S3, and Amazon MSK. It is also compatible with other popular data storage that may be deployed on Amazon EC2 instances.

AWS 98

AWS Scala Metadata Data Lake 98

Edureka

JULY 4, 2024

Amazon EMR is the right solution for it. It is a cloud-based service by Amazon Web Services (AWS) that simplifies processing large, distributed datasets using popular open-source frameworks, including Apache Hadoop and Spark. What is EMR in AWS?

AWS 52

AWS Amazon Web Services Hadoop Big Data 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

AltexSoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Key Big Data characteristics. Let’s take the transportation industry for example.

Big Data 78

Big Data Data Analytics IT NoSQL 78