Knowledge Hut

JUNE 30, 2023

It covers popular technologies such as Apache Kafka, Apache Storm, and Apache Hadoop, giving users practical advice on developing and executing effective data pipelines. With helpful illustrations and thorough explanations, it assists readers in comprehending how to use Spark for big data processing and analytics applications.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

MARCH 15, 2016

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago. All Data is not Big Data and might not require a Hadoop solution.

Hadoop 40

Hadoop Retail Healthcare Banking 40

Rockset

APRIL 15, 2022

In other words, a mutable real-time analytics database designed like Rockset provides high raw data ingestion speeds, the native ability to update and backfill records with out-of-order data, all without creating additional cost, data error risk, or work for developers and data engineers.

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52