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

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

Striim

AUGUST 31, 2023

This makes scaling the architecture complex and costly, as businesses will need to invest in additional hardware or cloud computing services in order to handle larger volumes of data processing. Additionally, Striim’s platform provides cloud integration options for popular cloud platforms like Amazon Web Services and Microsoft Azure.

Data Integration 69

Data Integration Architecture Amazon Web Services Machine Learning 69

Knowledge Hut

JUNE 26, 2023

Gain experience in cloud computing by using services such as Amazon Web Services. The supplied project employs cutting-edge machine learning and big data algorithms to create an efficient image caption generator. Gain familiarity with database management, and work on improving your SQL skills.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Edureka

AUGUST 23, 2024

Types of Services Offered by Amazon Kinesis Features of Amazon Kinesis Use Cases of Amazon Kinesis Conclusion FAQs What is Amazon Kinesis? Learning and upgrading your skills to use the latest Kinesis suite will help you build real-time analytics applications that are useful across various industries.

AWS 52

AWS Kafka Amazon Web Services Medical 52

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. It is designed to collect, process, and analyze large volumes of streaming data in real time, just like Kafka.

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