Snowflake

JULY 13, 2023

ESO’s customers—first responders, ambulatory transporters, hospitals, fire departments, and regulatory bodies—use ESO’s software to document and share a caller’s journey from the time they call 911 through their discharge at the end of the emergency. ESO’s data analytics platform was previously based on Cloudera running Scala and Spark.

Medical 92

Medical Hospitality Transportation Scala 92

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 will also need an ETL tool to transport data between each tier.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

Knowledge Hut

JUNE 26, 2023

Here are some data engineering project ideas to consider and Data Engineering portfolio project examples to demonstrate practical experience with data engineering problems. Realtime Data Analytics Project Overview: Olber, a corporation that provides taxi services, is gathering information about each and every journey.

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

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 . Examples of AI applications in Business . Smart Assistants .

Insurance 40

Insurance Finance Transportation Machine Learning 40

Striim

NOVEMBER 8, 2023

A data mesh is technology-agnostic and underpins four main principles described in-depth in this blog post by Zhamak Dehghani. The four data mesh principles aim to solve major difficulties that have plagued data and analytics applications for a long time.

Architecture 52

Architecture Generalist Government Datasets 52

Knowledge Hut

MAY 31, 2023

Data processing of large volumes of data including real-time data processing, storage, and analysis. Custom analytics applications for IoT data, including machine learning and predictive analytics. Features: Device management for IoT devices, including device provisioning, registration, and updates.

Programming Language 52

Programming Language Electronics Java Programming 52

U-Next

AUGUST 26, 2022

Companies may use Data Analytics to evaluate their data (historic, genuine, unorganized, subjective), find connections, and provide insight that can guide and, in some circumstances, automate choices, bridging knowledge and actions. Data Analytics Illustration. Four Types of Data Analytics.

Data Analytics 40

Data Analytics Insurance Transportation Healthcare 40