ProjectPro

JUNE 6, 2025

You can work in any sector, including finance, manufacturing, information technology, telecommunications, retail, logistics, and automotive. Big data requires a good understanding and knowledge of tools and cutting-edge technologies to help organizations enhance their profits by making appropriate decisions.

Big Data 45

Big Data Big Data Skills Hadoop Scala 45

Cloudera

NOVEMBER 2, 2020

This is resulting in advancements of what is provided by the technology, and a resulting shift in the art of the possible. Let’s consider a large Asian Telecommunications provider who is rolling out 5G. These will provide more details on how the technologies work together and how you can build your own RTDW applications.

Data Warehouse 97

Data Warehouse Kafka Lambda Architecture Telecommunication 97

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

ProjectPro

JUNE 6, 2025

Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Big data analytics analyzes structured and unstructured data to generate meaningful insights based on changing market trends, hidden patterns, and correlations. Big data is a combination of several technologies.

Big Data 40

Big Data Hadoop Relational Database AWS 40

ProjectPro

MARCH 15, 2016

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. It is important to study and understand several Hadoop use cases for these simple reasons – Hadoop is still a complex technology with several limitations and complications.

Hadoop 40

Hadoop Retail Banking Healthcare 40

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

This article will expose Apache Spark architecture, assess its advantages and disadvantages, compare it with other big data technologies, and provide you with the path to learning this impactful instrument. Data analysis. Understanding them can help you decide whether Spark is the right choice for your specific needs.

Big Data 52

Big Data Data Process Process Hadoop 52