ProjectPro

SEPTEMBER 6, 2021

AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? Amazon and Google are the big bulls in cloud technology, and the battle between AWS and GCP has been raging on for a while.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Edureka

AUGUST 23, 2024

The AWS training will prepare you to become a master of the cloud, storing, processing, and developing applications for the cloud data. Amazon AWS Kinesis makes it possible to process and analyze data from multiple sources in real-time. Applications can effortlessly ingest, process, and analyze data streams.

AWS 52

AWS Kafka Amazon Web Services Medical 52

Rockset

MARCH 3, 2022

This data has material financial value when it’s both fresh and easy to access, however, customers commonly face scalability challenges running both transactional and analytical applications on the same database. Transactional databases must be write-optimized and analytical applications require low-latency reads.

Amazon Web Services 52

Amazon Web Services Data Warehouse SQL Analytics Application 52

Knowledge Hut

JUNE 26, 2023

Moreover, this project concept should highlight the fact that there are many interesting datasets already available on services like GCP and AWS. Hundreds of datasets are available from these two cloud services, so you may practise your analytical skills without having to scrape data from an API.

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

Rockset

FEBRUARY 24, 2023

It has expanded to various industries and applications, including IoT sensor data, financial data, web analytics, gaming behavioral data, and many more use cases. Kafka can be deployed as a managed service via Confluent Cloud or AWS Managed Streaming for Kafka (MSK). You can get set up in just a few clicks.

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

U-Next

AUGUST 23, 2022

Tableau can harvest data from various information sources, including cloud-based databases from Cloud Based SQL, Microsoft Azure SQL, Amazon Web Services AWS, and Excel and PDF files to complicated platforms like Oracle. It can obtain information from every platform conceivable.

BI 52

BI Amazon Web Services Database Business Intelligence 52

Knowledge Hut

JULY 26, 2023

Database Application Providers- (Amazon, Facebook): Amazon and Facebook are two well-known organizations that offer comprehensive database application solutions. Amazon Web Services (AWS) provides a variety of cloud-based database services to meet a variety of needs.

Database 52

Database NoSQL MongoDB Telecommunication 52