The Crazy Programmer

SEPTEMBER 28, 2022

He is best known for his operating systems, central processing units, and programming languages. David was the top fundraiser from 2006 to 2012. David’s main areas of investigation are as under: Parallel computing Computer architecture Distributed computing Workload Embedded system. Personal Life and Education.

Software Engineering 173

Software Engineering Architecture Storage Education 173

CIO

MAY 10, 2024

NoSQL NoSQL is a type of distributed database design that enables users to store and query data without relying on traditional structures often found in relational databases. Because of this, NoSQL databases allow for rapid scalability and are well-suited for large and unstructured data sets.

SOA 324

SOA Linux Architecture Video 324

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Existek

JANUARY 11, 2022

Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. The next big step in advancing Azure was introducing the container strategy, as containers and microservices took the industry to a new level. Compatibility.

Azure 52

Azure AWS Cloud How To 52

Apiumhub

MARCH 26, 2019

He worked on several projects focused on the principles of designing massively scalable software architectures for big data applications, and building knowledge bases both manually and using machine learning to support engineering tasks.

Software Review 44

Software Review Architecture Technical Review Software 44