Knowledge Hut

JUNE 23, 2023

Real-time data analytics is an essential innovation that enables companies to act quickly on data. By this year, more than half of business systems would base choices on current context data. This demonstrates the rising significance of real-time analytics architecture in the hectic corporate climate of today.

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

Towards Data Science

JANUARY 16, 2024

Data lakes were introduced to store the new data formats. Image by the author 2010 to 2020 - The Cloud Data Warehouse Enterprises now wanted quick data analytics without yesterday’s constraints of flexibility, processing power and scale. Result: Hadoop & NoSQL frameworks emerged.

Data Warehouse 95

Data Warehouse Data Architecture Relational Database NoSQL 95

DataKitchen

AUGUST 19, 2021

The separation of these data sets enables the teams to decouple their timing from each other. In figure 5, we see that each domain has its own domain update processing ( Recipes or data analytics pipelines), represented by a directed-acyclic graph (DAG).

Pharmaceutical 98

Pharmaceutical Data Lake Data Warehouse Raw Data 98

Monte Carlo

FEBRUARY 9, 2022

“[Insights is] a new and powerful way to understand what data assets matter most to our business and how we can better drive an impact with our data across the organization,” s aid Valerie Rogoff , Director of Data Analytics Architecture at ShopRunner.

Raw Data 52

Raw Data Analytics Architecture Data Data Analytics 52

Striim

AUGUST 22, 2024

Collect data in real time Every organization can leverage valuable real-time data. Real-time analytics is made possible by the way the data is processed. Batch Processing In data analytics, batch processing involves first storing large amounts of data for a period and then analyzing it as needed.

Data Warehouse 52

Data Warehouse Retail Machine Learning Database 52

Knowledge Hut

FEBRUARY 27, 2023

A data engineer is a key member of an enterprise data analytics team and is responsible for handling, leading, optimizing, evaluating, and monitoring the acquisition, storage, and distribution of data across the enterprise. Data Engineers indulge in the whole data process, from data management to analysis.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Monte Carlo

JULY 25, 2022

There’s a lot of content out there about why a data mesh is (or isn’t) the best thing since sliced bread. But one thing’s for sure: if you can’t trust the data powering your analytics architecture, it’s hard to justify the investment.

Government 52

Government Data Architecture Insurance 52