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). AWS provides cloud storage for your use that offers scalability for file sharing.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

Knowledge Hut

JANUARY 9, 2024

Starting from applications, programming, and administration, it ranges to large-scale distribution systems, which comprise the cloud computing infrastructure. Furthermore, via hands-on projects, applicants learn the ways to utilize public cloud computing platforms like Microsoft Azure and Amazon Web Services (AWS).

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Cloud Storage 52

Knowledge Hut

DECEMBER 26, 2023

Online courses often include video lectures, quizzes, and other materials that can be accessed online. Most online courses are asynchronous, meaning that students can access the course materials at any time. Edx has three commitments to all learners: Promote universal access to high-quality education for all people everywhere.

Certification 95

Certification Java Google Cloud Education 95

Monte Carlo

APRIL 24, 2023

Amazon S3 and/or Lake Formation Amazon S3 is a popular storage platform to build and store data lakes thanks to its high availability and low latency access. It’s especially attractive for organizations that would like to leverage other complementary Amazon Web Services (AWS) services or database engines like Aurora.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 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!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Knowledge Hut

DECEMBER 27, 2023

Accessing and storing huge data volumes for analytics was going on for a long time. Many business owners and professionals are interested in harnessing the power locked in Big Data using Hadoop often pursue Big Data and Hadoop Training. Pros : Highly scalable, provides fast access to data and is useful for R&D purposes.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Knowledge Hut

APRIL 25, 2023

Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale. With Power BI, data engineers can easily create interactive reports and dashboards that can be accessed from anywhere, on any device. Some of its key features are mentioned here.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52