Edureka

OCTOBER 16, 2024

Firms use business analytics to improve decision-making. It has several key components: Descriptive Analytics: It is a part of Business Analytics Applications. Telecommunications: Today, operators employ analytics for the improvement of networks, for customer experience optimization and churn minimization.

Analytics Application 40

Analytics Application Business Analyst Manufacturing Retail 40

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. These databases are widely utilized in a variety of industries, including finance, energy, telecommunications, and monitoring systems.

Database 52

Database NoSQL Telecommunication MongoDB 52

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

Cloudera

NOVEMBER 2, 2020

Let’s consider a large Asian Telecommunications provider who is rolling out 5G. In the meantime, if you want to learn more, please check out this video, which shows how to build an end-to-end Event Analytics application in CDP, using Apache Kafka, Apache Druid, Apache Hive, and Cloudera DataViz.

Data Warehouse 96

Data Warehouse Kafka Lambda Architecture BI 96

Rockset

FEBRUARY 24, 2023

It gained traction in the early 1990s as telecommunication companies used it to manage the flow of voice and data traffic over their networks. It has expanded to various industries and applications, including IoT sensor data, financial data, web analytics, gaming behavioral data, and many more use cases.

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

AltexSoft

JULY 18, 2023

It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs. Spark Streaming enhances the core engine of Apache Spark by providing near-real-time processing capabilities, which are essential for developing streaming analytics applications.

Big Data 52

Big Data Data Process Process Hadoop 52

ProjectPro

MARCH 15, 2016

The Telecommunication industry includes the local and long distance calls, wireless communications, test messaging, high speed internet, data communication, television streaming and similar other means of satellite based communication. Upon which you can build analytics application using Hive , MapReduce and Apache Spark.

Hadoop 40

Hadoop Retail Healthcare Banking 40