Knowledge Hut

JUNE 30, 2023

The essential theories, procedures, and equipment for creating trustworthy and effective data systems are covered in this book. It explores subjects including data modeling, data pipelines, data integration, and data quality, offering helpful advice on organizing and implementing reliable data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Cloudera

NOVEMBER 2, 2020

In addition to understanding the attributes of an RTDW, it is useful to look at the types of applications that can be built within the RTDW category. These are end-to-end, high volume applications that are used for general purpose data processing, Business Intelligence, operational reporting, dashboarding, and ad hoc exploration.

Data Warehouse 94

Data Warehouse Kafka Lambda Architecture Telecommunication 94

Knowledge Hut

JULY 26, 2023

They enable organizations to use data as an asset, resulting in greater operational efficiency, improved decision-making, and an edge over competitors in today's data-driven corporate world. Database applications also help in data-driven decision-making by providing data analysis and reporting tools.

Database 52

Database NoSQL Telecommunication MongoDB 52

Cloudera

MAY 16, 2018

Instead of each group’s tools acting on the output in isolation, they leverage a common visual analytics platform that is native to the lake and uses all of the data without moving it to a separate server. Author: Paul Lashmet, Practice Lead and Advisor for Financial Services at North Castle Integration LLC.

Data Lake 42

Data Lake Electronics Media Unstructured Data 42

AltexSoft

OCTOBER 21, 2022

Banks, car manufacturers, marketplaces, and other businesses are building their processes around Kafka to. process data in real time and run streaming analytics. In other words, Kafka can serve as a messaging system, commit log, data integration tool, and stream processing platform. Kafka vs ETL.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

phData: Data Engineering

JULY 18, 2023

CDWs are designed for running large and complex queries across vast amounts of data, making them ideal for centralizing an organization’s analytical data for the purpose of business intelligence and data analytics applications.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

ProjectPro

MAY 20, 2015

There are several big data and business analytics companies that offer a novel kind of big data innovation through unprecedented personalization and efficiency at scale. Which big data analytic companies are believed to have the biggest potential? We do not service the pizza shop at the end of street.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40