Jesse Anderson

DECEMBER 12, 2022

Google looked over the expanse of the growing internet and realized they’d need scalable systems. 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.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

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 Programming SQL 40

Cloudera

SEPTEMBER 24, 2021

The Dawn of Telco Big Data: 2007-2012. Increasingly, skunkworks data science projects based on open source technologies began to spring up in different departments, and as one CIO said to me at the time ‘every department had become a data science department!’ Let’s examine how we got here.

Data Architect 94

Data Architect Government NoSQL Big Data 94

Towards Data Science

FEBRUARY 15, 2023

In this context, data management in an organization is a key point for the success of its projects involving data. The main player in the context of the first data lakes was Hadoop, a distributed file system, with MapReduce, a processing paradigm built over the idea of minimal data movement and high parallelism. 5] Databricks.

Data Lake 77

Data Lake Data Warehouse Hadoop Data Architecture 77

Knowledge Hut

JUNE 30, 2023

The practice of designing, building, and maintaining the infrastructure and systems required to collect, process, store, and deliver data to various organizational stakeholders is known as data engineering. Data engineers are experts who specialize in the design and execution of data systems and infrastructure. Who are Data Engineers?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

JULY 21, 2021

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Apache Kafka and RabbitMQ are messaging systems used in distributed computing to handle big data streams– read, write, processing, etc.

Kafka 52

Kafka Big Data Java Architecture 52

Rockset

JANUARY 23, 2020

For a great overview on the need for these new database designs, I highly recommend watching the presentation, Stanford Seminar - Big Data is (at least) Four Different Problems , that database guru Michael Stonebraker delivered for Stanford’s Computer Systems Colloquium.

Database 40

Database MySQL Kafka NoSQL 40