ProjectPro
JUNE 6, 2025
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. Launched in 2008. Learn the A-Z of Big Data with Hadoop with the help of industry-level end-to-end solved Hadoop projects.
phData: Data Engineering
NOVEMBER 8, 2024
Evolution of Open Table Formats Here’s a timeline that outlines the key moments in the evolution of open table formats: 2008 - Apache Hive and Hive Table Format Facebook introduced Apache Hive as one of the first table formats as part of its data warehousing infrastructure, built on top of Hadoop.
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ProjectPro
FEBRUARY 10, 2016
It is difficult to believe that the first Hadoop cluster was put into production at Yahoo, 10 years ago, on January 28 th , 2006. Ten years ago nobody was aware that an open source technology, like Apache Hadoop will fire a revolution in the world of big data. Happy Birthday Hadoop With more than 1.7
Christophe Blefari
MARCH 11, 2023
When it comes to data, data engineering is the most searched concept and growing Spark and Hadoop have been less searched than last year PowerBI is the 3rd most searched concept and I'm sad about it Silicon Valley Bank—wat? 🤞( credits ) This is a bit last minute but this is freaking huge. MBS guarantees 1.5%
Cloudera
JANUARY 3, 2019
As separate companies, we built on the broad Apache Hadoop ecosystem. We recognized the power of the Hadoop technology, invented by consumer internet companies, to deliver on that promise. Our bet in 2008 has proven prescient. Our product lines aren’t just complementary. We were first to bring it to market for the enterprise.
Cloudera
JANUARY 26, 2022
The Hadoop framework was developed for storing and processing huge datasets, with an initial goal to index the WWW. In 2008, Cloudera was born. As businesses began to embrace digital transformation, more and more data was collected and stored. As cloud offerings grew, so did the demand for higher agility, speed, and cost efficiency.
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. All Data is not Big Data and might not require a Hadoop solution.
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