Big data

The Exascale Frontier: A Journey into the Quintilian Realm of High-Performance Computing

The Exascale Frontier: A Journey into the Quintilian Realm of High-Performance Computing

The human thirst for computational power is insatiable. From the rudimentary abacus to the behemoth supercomputers of today, we’ve continuously strived to push the boundaries of processing speed and capacity. Now, on the horizon looms the next Everest of computing – exascale computing, the realm of one quintillion floating-point operations per second (FLOPS). This article delves into the intricate world of exascale computing, exploring the challenges, research avenues, and potential implications of this monumental technological leap.

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How To Install and Use ClickHouse on Ubuntu 20.04 — step-by-step Linux tutorial on Progressive Robot

How To Install and Use ClickHouse on Ubuntu 20.04

ClickHouse is an open source, column-oriented analytics database created by Yandex for OLAP and big data use cases. In this tutorial, you’ll install the ClickHouse database server and client on your machine. You’ll use the DBMS for typical tasks and optionally enable remote access from another server so that you’ll be able to connect to the database from another machine. Then you’ll test ClickHouse by modeling and querying example website-visit data.

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How to Install Hadoop in Stand-Alone Mode on Ubuntu 16.04 — step-by-step Linux tutorial on Progressive Robot

How to Install Hadoop in Stand-Alone Mode on Ubuntu 16.04

Hadoop is a Java-based programming framework that supports the processing and storage of extremely large datasets on a cluster of inexpensive machines. It was the first major open source project in the big data playing field and is sponsored by the Apache Software Foundation. …

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What is Big Data? — step-by-step DevOps tutorial on Progressive Robot

What is Big Data?

Big data is a blanket term for the non-traditional strategies and technologies needed to organize, process, and gather insights from large datasets. Many users and organizations are turning to big data for certain types of workloads, and using it to supplement their existing analysis and business tools. Tools that exist in this space offer different options for interpolating data into a system, storing it, analyzing it, and working with it through visualizations.

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