Jesse Anderson

DECEMBER 12, 2022

Doug Cutting took those papers and created Apache Hadoop in 2005. They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. Hadoop was hard to program, and Apache Hive came along in 2010 to add SQL. We lacked a scalable pub/sub system.

Data Engineer 130

Data Engineer Data Engineering Engineering Hadoop 130

Ascend.io

FEBRUARY 15, 2023

Back in 2004, I got to work with MapReduce at Google years before Apache Hadoop was even released, using it on a nearly daily basis to analyze user activity on web search and analyze the efficacy of user experiments. So in this piece, I’ll give my take on the evolution of the cloud data platform, starting way back from my days at Google.

Cloud 52

Cloud Amazon Web Services Hadoop Telecommunication 52

Ascend.io

FEBRUARY 15, 2023

Back in 2004, I got to work with MapReduce at Google years before Apache Hadoop was even released, using it on a nearly daily basis to analyze user activity on web search and analyze the efficacy of user experiments. So in this piece, I’ll give my take on the evolution of the cloud data platform, starting way back from my days at Google.

Cloud 52

Cloud Amazon Web Services Hadoop Telecommunication 52

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

Hadoop 40

Hadoop Big Data Project Programming 40

ProjectPro

AUGUST 26, 2015

"Big data is at the foundation of all of the megatrends that are happening today, from social to mobile to the cloud to gaming."- ”- Atul Butte, Stanford With the big data hype all around, it is the fuel of the 21 st century that is driving all that we do. .”- said Chris Lynch, the ex CEO of Vertica.

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Data Architect 95

Data Architect Government NoSQL Big Data 95

Knowledge Hut

JUNE 30, 2023

Acquire first-hand experience in learning Python packages for data processing and analysis. Big Data: Principles and best practices of scalable real-time data systems Big Data: Principles and Best Practices of Scalable Realtime Data Systems is an excellent resource for anyone who wants to learn the fundamentals of working with big data.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52