Knowledge Hut

JUNE 26, 2023

Get ready to delve into fascinating data engineering project concepts and explore a world of exciting data engineering projects in this article. Best Data Science certifications online or offline are available to assist you in establishing a solid foundation for every end-to-end data engineering project.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

ProjectPro

MARCH 10, 2016

All the batch processing and analytics workload at LinkedIn is primarily handled by Hadoop. LinkedIn uses Hadoop for development of predictive analytics applications like “Skill Endorsements” and “People You May Know”, ad-hoc analysis by data scientists and for descriptive statistics for operating internal dashboards.

Hadoop 40

Hadoop Big Data Data Analytics Big Data Ecosystem 40

Rockset

OCTOBER 4, 2022

Streaming data feeds many real-time analytics applications, from logistics tracking to real-time personalization. Change data capture (CDC) streams from OLTP databases, which may provide sales, demographic or inventory data, are another valuable source of data for real-time analytics use cases.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

ProjectPro

SEPTEMBER 6, 2021

Are you confused about choosing the best cloud platform for your next data engineering project ? 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. It also gives google developer console projects.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

ProjectPro

MARCH 15, 2016

Hadoop has helped the financial sector, maintain a better risk record in the aftermath of 2008 economic downturn. McKinsey projected that efficient usage of Big Data and Hadoop in healthcare industry can reduce the data warehousing expenses by $300-$500 billion globally. The solution to this problem is straightforward.

Hadoop 40

Hadoop Retail Healthcare Banking 40