Cloudera

JANUARY 26, 2022

Network operating systems let computers communicate with each other; and data storage grew—a 5MB hard drive was considered limitless in 1983 (when compared to a magnetic drum with memory capacity of 10 kB from the 1960s). The amount of data being collected grew, and the first data warehouses were developed.

Cloud 83

Cloud Cloud Computing Hadoop Data Warehouse 83

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

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

Knowledge Hut

MARCH 27, 2024

Real-time analytics platforms in big data apply logic and math to gain faster insights into data, resulting in a more streamlined and informed decision-making process. Some open-source technology for big data analytics are : Hadoop. Listed below are the top and the most popular tools for big data analytics : 1.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

AUGUST 26, 2015

The largest item on Claude Shannon’s list of items was the Library of Congress that measured 100 trillion bits of data. 1960 - Data warehousing became cheaper. 1996 - Digital data storage became cost effective than paper - according to R.J.T. 2008 -Google processed 20 petabytes of data in a single day.

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40

ProjectPro

SEPTEMBER 6, 2021

Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. It developed and optimized everything from cloud storage, computing, IaaS, and PaaS. But not long after Google launched GCP in 2008, it began gaining market traction. Launched in 2008.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 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