Remove Analytics Application Remove Technology Remove Telecommunication
article thumbnail

The Role of Database Applications in Modern Business Environments

Knowledge Hut

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.

article thumbnail

An Overview of Real Time Data Warehousing on Cloudera

Cloudera

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Making Sense of Real-Time Analytics on Streaming Data, Part 1: The Landscape

Rockset

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
article thumbnail

The Good and the Bad of Apache Spark Big Data Processing

AltexSoft

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.

article thumbnail

Hadoop Use Cases

ProjectPro

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
article thumbnail

100+ Big Data Interview Questions and Answers 2023

ProjectPro

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.

article thumbnail

20 Solved End-to-End Big Data Projects with Source Code

ProjectPro

This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. The use of Spark SQL to store the data and Apache Hive to process the data, along with a few applications of machine learning, can build the required recommendation system.