Edureka

FEBRUARY 6, 2023

In today’s technological environment, where data and cloud computing are becoming more and more significant, an Azure Data Engineer is extremely important. Azure Data Engineers are in high demand due to the growth of cloud-based data solutions. Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

NOVEMBER 29, 2023

Services like the Cloud makes it possible for them to store their IT resources without having to manage a structure. Cloud computing is helping them get access to their business data and applications from anywhere at any time, and at a reasonable price. Amazon Web Services is one of the leading platforms for Cloud.

AWS 52

AWS Certification Big Data Cloud Computing 52

Cloudera

SEPTEMBER 12, 2018

Connecting internal, external and unconventional data (such as sensor and video data) helps the organization create an end-to-end product performance strategy, while common governance and security enable self-service capabilities for business users. Modern Data Warehousing: Barclays (nominated together with BlueData ).

Pharmaceutical 45

Pharmaceutical Banking Amazon Web Services Healthcare 45

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

Knowledge Hut

DECEMBER 26, 2023

IBM is the leading supplier of Big Data-related products and services. IBM Big Data solutions include features such as data storage, data management, and data analysis. Amazon - Amazon's cloud-based platform is well-known. Apple Maps is powered by big data.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Striim

AUGUST 31, 2023

In conclusion, kappa architectures have revolutionized the way businesses approach big data solutions – allowing them to take advantage of cutting edge technologies while reducing costs associated with manual processes like ETL systems.

Data Integration 69

Data Integration Architecture Amazon Web Services ETL System 69

Knowledge Hut

DECEMBER 27, 2023

Apache Hadoop This open-source software framework processes data sets of big data with the help of the MapReduce programming model. This is one of the most popular big data tools used by most Fortune 50 companies, including Amazon Web services, Hortonworks, IBM, Intel, Microsoft and Facebook among others.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

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

JANUARY 31, 2022

The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. Snowflake is a data warehousing platform that runs on the cloud.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

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