Knowledge Hut

JUNE 30, 2023

The practice of designing, building, and maintaining the infrastructure and systems required to collect, process, store, and deliver data to various organizational stakeholders is known as data engineering. Data engineers are experts who specialize in the design and execution of data systems and infrastructure. Who are Data Engineers?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

MARCH 15, 2016

Using Hadoop on such scale of data helps in easy and quick data representation, database design, clinical decision analytics, data querying and fault tolerance. Hadoop as a database system allows the storage of unstructured healthcare data in its native form. The solution to this problem is straightforward.

Hadoop 40

Hadoop Retail Healthcare Banking 40

Rockset

APRIL 15, 2022

This is the second post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. The issue is how the downstream database stores updates and late-arriving data. That is called at-least-once semantics. This has some benefits.

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52

Rockset

DECEMBER 9, 2021

Disclaimer: Rockset is a real-time analytics database and one of the pieces in the modern real-time data stack So What is Real-Time Data (And Why Can’t the Modern Data Stack Handle It)? Real-time data streams typically power analytical or data applications whereas batch systems were built to power static dashboards.

Transportation 52

Transportation BI SQL Data Warehouse 52