Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Cloud technologies and respective service providers have evolved solutions to address these challenges. . Big Data” became a topic of conversations and the term “Cloud” was coined. .

Cloud 85

Cloud Cloud Computing Hadoop Data Warehouse 85

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. Hadoop runs on clusters of commodity servers.

Hadoop 40

Hadoop Retail Healthcare Banking 40

Cloudera

JANUARY 3, 2019

On January 3, we closed the merger of Cloudera and Hortonworks — the two leading companies in the big data space — creating a single new company that is the leader in our category. As separate companies, we built on the broad Apache Hadoop ecosystem. They share a tremendous amount of common open source technology.

Hadoop 74

Hadoop Machine Learning Big Data Data Warehouse 74

ProjectPro

APRIL 14, 2015

1 of 18 people in US today use big data analytics in finding companionship.Couples are finding love online and online dating today has become a big business. Online dating sites combine "data" and "analytics" to help people find their perfect soul mate. since 2008 and the Canadian dating industry amounts to $153 million.

Big Data 52

Big Data Data Analysis Algorithm MongoDB 52

Cloudera

OCTOBER 3, 2018

First, remember the history of Apache Hadoop. Google built an innovative scale-out platform for data storage and analysis in the late 1990s and early 2000s, and published research papers about their work. The two of them started the Hadoop project to build an open-source implementation of Google’s system.

Hadoop 75

Hadoop Cloud Data Storage Big Data 75

ProjectPro

SEPTEMBER 6, 2021

Cloud Technology has risen in the latter half of the past decade. Amazon and Google are the big bulls in cloud technology, and the battle between AWS and GCP has been raging on for a while. Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. Launched in 2008.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

ProjectPro

OCTOBER 27, 2021

Detecting fraudulent transactions using traditional rule-based methods is time-consuming and mostly inaccurate as processing data is vast. Ace your Big Data engineer interview by working on unique end-to-end solved Big Data Projects using Hadoop Download the dataset from here. Check them out now!

Finance 52

Finance Machine Learning Project Banking 52