article thumbnail

Brief History of Data Engineering

Jesse Anderson

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. Apache HBase came in 2007, and Apache Cassandra came in 2008.

article thumbnail

How Apache Hadoop is Useful For Managing Big Data

U-Next

Introduction . “Hadoop” is an acronym that stands for High Availability Distributed Object Oriented Platform. That is precisely what Hadoop technology provides developers with high availability through the parallel distribution of object-oriented tasks. What is Hadoop in Big Data? . When was Hadoop invented?

Hadoop 40
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Apache Hadoop turns 10: The Rise and Glory of Hadoop

ProjectPro

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

Hadoop 40
article thumbnail

Hadoop Use Cases

ProjectPro

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.

Hadoop 40
article thumbnail

Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

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.

article thumbnail

96 Percent of Businesses Can’t Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

Cloudera

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.

Cloud 84
article thumbnail

Data News — Week 23.10

Christophe Blefari

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%

Banking 130