ProjectPro

APRIL 8, 2015

With the demand for big data technologies expanding rapidly, Apache Hadoop is at the heart of the big data revolution. It is labelled as the next generation platform for data processing because of its low cost and ultimate scalable data processing capabilities. billion by 2020. billion by 2020.

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

phData: Data Engineering

NOVEMBER 8, 2024

For instance, partition pruning, data skipping, and columnar storage formats (like Parquet and ORC) allow efficient data retrieval, reducing scan times and query costs. This is invaluable in big data environments, where unnecessary scans can significantly drain resources.

Architecture 52

Architecture Systems Data Lake Google Cloud 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

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 89

Cloud Cloud Computing Hadoop Data Warehouse 89

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

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

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

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

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 Unstructured Data 52