Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

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. Each of these trends, of course, depends entirely on data.

Hadoop 75

Hadoop Machine Learning Big Data Data Warehouse 75

Cloudera

JANUARY 26, 2022

Big Data” became a topic of conversations and the term “Cloud” was coined. . As businesses began to embrace digital transformation, more and more data was collected and stored. The Hadoop framework was developed for storing and processing huge datasets, with an initial goal to index the WWW. In 2008, Cloudera was born.

Cloud 87

Cloud Cloud Computing Hadoop Data Warehouse 87

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 Hadoop 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. Hadoop runs on clusters of commodity servers.

Hadoop 40

Hadoop Retail Healthcare Banking 40

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

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. And that is one big reason it is the market leader and dominates other cloud technologies aggressively.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Knowledge Hut

JANUARY 9, 2024

Microsoft Azure offers its services in around 140 countries and has been present in the cloud computing industry since October 2008. This means businesses can opt for cloud and on-premises infrastructure and seamlessly transfer data between the two depending on their needs. Why is Microsoft Azure so Important?

Cloud Computing 52

Cloud Computing Computer Science Certification Cloud 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.

Finance 52

Finance Machine Learning Project Banking 52

Jesse Anderson

DECEMBER 12, 2022

Doug Cutting took those papers and created Apache Hadoop in 2005. Cloudera was started in 2008, and HortonWorks started in 2011. They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. DJ Patil coined the term Data Scientist in 2008.

Data Engineer 130

Data Engineer Data Engineering Engineering Hadoop 130