Knowledge Hut

NOVEMBER 16, 2023

Amazon Web Services has become an integral part of the IT sector. These services form the building blocks of the applications deployed in the cloud. Because of the benefits these services offer, professionals with expertise in the AWS are highly in demand.

AWS 52

AWS Certification Amazon Web Services Machine Learning 52

Edureka

FEBRUARY 9, 2023

As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical. Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions. Some popular services include: Amazon S3: A highly scalable and durable object storage service.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JULY 30, 2021

Apache Spark forms the complete big data solution along with HDFS, Yarn, Map-Reduce. Cloud-Native are technologies and services built to leverage cloud architecture. What are some examples of popularly used Cloud Computing services? Windows Azure, Amazon Web services, and iCloud are the very popular ones.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

AUGUST 31, 2018

Research firm Gartner published a document stating that Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and IBM Cloud are innovative tech giants that provide highly cost-competitive alternatives to conventional on-premises hosting infrastructures. AWS is continually improving its Hybrid Cloud solutions.

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45

ProjectPro

MARCH 16, 2015

Here begins the journey through big data in healthcare highlighting the prominently used applications of big data in healthcare industry. This data was mostly generated by various regulatory requirements, record keeping, compliance and patient care. trillion towards healthcare data solutions in the Healthcare industry.

Healthcare 40

Healthcare Big Data Project Hospitality 40

ProjectPro

MAY 31, 2021

Personal data privacy and protection are becoming increasingly crucial, and you should prioritize them immediately as you embark on your big data journey. You must consolidate all your data initiatives, sources, and datasets into one location or platform to facilitate governance and carry out privacy-compliant projects.

Big Data 52

Big Data Coding Project Hadoop 52