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. 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

Knowledge Hut

JUNE 26, 2023

Given that the United States has had the highest inflation rate since 2008, this is a significant problem. He calculated the rate of inflation by following internet pricing fluctuations for products and services. The author utilised petabytes of website data from the Common Crawl in their effort.

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

ProjectPro

MARCH 15, 2016

Hadoop has helped the financial sector, maintain a better risk record in the aftermath of 2008 economic downturn. Upon which you can build analytics application using Hive , MapReduce and Apache Spark. Such risk analysis helps banks to manage their financial security and offer customized products and services.

Hadoop 40

Hadoop Retail Healthcare Banking 40