Cloudera

SEPTEMBER 15, 2022

Similar use cases exist across all other verticals like insurance, finance and telecommunications. . It removes the need to port data from an object store to a file system so analytics applications can read it. The same data can be read as an object, or a file. Bucket types. release version.

Systems 87

Systems Hadoop Metadata Telecommunication 87

ProjectPro

AUGUST 9, 2016

Cognizant’s BIGFrame solution uses Hadoop to simplify migration of data and analytics applications to provide mainframe like performance at an economical cost of ownership over data warehouses.

Hadoop 52

Hadoop Insurance Cloud Computing Big Data 52

U-Next

SEPTEMBER 21, 2022

While people are required to provide context and comprehend intricate circumstances, data science benefits from less inaccuracy, enabling more accurate estimates and data analytics. . Applications of AI in Business Operations . This method is extremely reliable as the data collecting, processing, and analysis occur in real time.

Insurance 40

Insurance Finance Transportation Machine Learning 40

U-Next

AUGUST 26, 2022

Risk Management: In the realm of insurance, risk management is crucial. There is indeed several Data Analytics going on while an individual is becoming insured. As a result, most insurance firms frequently employ customer surveys to gather data to enhance their services.

Data Analytics 40

Data Analytics Insurance Transportation Healthcare 40

Knowledge Hut

DECEMBER 26, 2023

Given its status as one of the complete all-in-one analytics and BI systems available currently, the platform requires some getting accustomed to. Some key features include business intelligence, enterprise planning, and analytics application. You can discover your insights by posing and addressing your questions.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

Knowledge Hut

JULY 26, 2023

It is widely utilized for its great scalability, fault tolerance, and quick write performance, making it ideal for large-scale data storage and real-time analytics applications. Insurance: Insurance companies rely on complex database software to handle their enormous and complicated operations. Spatial Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

Cloudera

JUNE 16, 2022

Customers started to understand that to better serve their customers and maintain a competitive edge, they needed the analytics to be done in real time, not days or hours but within seconds or faster.

Kafka 86

Kafka Manufacturing Data Lake SQL 86