Rockset

MARCH 31, 2022

On top of that, I had to make that data available to our custom-built application via a secure RESTful endpoint with a less than one second response time. I was amazed that I could do all of that without having to initially move and transform the data. I had a web app that could access this treasure trove of data.

MongoDB 52

MongoDB Data Architect SQL Data Schemas 52

Cloudera

FEBRUARY 9, 2021

A typical approach that we have seen in customers’ environments is that ETL applications pull data with a frequency of minutes and land it into HDFS storage as an extra Hive table partition file. In this way, the analytic applications are able to turn the latest data into instant business insights. Design Detail.

Data Warehouse 72

Data Warehouse Cloud Kafka Cloud Storage 72

Striim

NOVEMBER 8, 2023

Data Mesh is a revolutionary event streaming architecture that helps organizations quickly and easily integrate real-time data, stream analytics, and more. It enables data to be accessed, transferred, and used in various ways such as creating dashboards or running analytics.

Architecture 52

Architecture Generalist Government Datasets 52

Rockset

DECEMBER 9, 2021

Real-time data streams typically power analytical or data applications whereas batch systems were built to power static dashboards. Embracing SQL as the standard for real-time data analytics is the most affordable and accessible choice. So BI did not democratize access to analytics.

Transportation 52

Transportation BI SQL Database 52

ProjectPro

JANUARY 31, 2023

The Hadoop MapReduce architecture has a Distributed Cache feature that allows applications to cache files. Every map/reduce action carried out by the Hadoop framework on the data nodes has access to cached files. As a result, the data files in the task assigned can access the cache file as a local file.

Big Data 52

Big Data Hadoop Relational Database AWS 52