Knowledge Hut

JUNE 26, 2023

Top Data Engineering Projects with Source Code Data engineers make unprocessed data accessible and functional for other data professionals. Use Stack Overflow Data for Analytic Purposes Project Overview: What if you had access to all or most of the public repos on GitHub? Which queries do you have?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

ProjectPro

SEPTEMBER 6, 2021

Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. But not long after Google launched GCP in 2008, it began gaining market traction. Popular instances where GCP is used widely are machine learning analytics, application modernization, security, and business collaboration.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Rockset

OCTOBER 4, 2022

Streaming data feeds many real-time analytics applications, from logistics tracking to real-time personalization. The broad adoption of Apache Kafka has helped make these event streams more accessible. In this post, we compare two options for real-time analytics on event and CDC streams: Rockset and ClickHouse.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

ProjectPro

MARCH 10, 2016

The process of funnelling data into Hadoop systems is not as easy as it appears, because data has to be transferred from one location to a large centralized system. All the batch processing and analytics workload at LinkedIn is primarily handled by Hadoop. It serves queries in real-time.

Hadoop 40

Hadoop Big Data Data Analytics Big Data Ecosystem 40

ProjectPro

MARCH 15, 2016

Table of Contents Hadoop Distributed File System (HDFS) Hadoop MapReduce Hadoop in the Financial Sector Hadoop in Healthcare Sector Hadoop for Telecom Industry Hadoop in Retail Sector Hadoop for Building Recommendation System Studying Hadoop use cases will help to – 1.) Hadoop runs on clusters of commodity servers.

Hadoop 40

Hadoop Retail Healthcare Banking 40