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AWS declares it's Iceberg all the way until customers say otherwise

3 months 2 weeks ago
Cloud giant explains its thinking behind support for Apache open table format

AWS bet on the Apache Iceberg open table format (OTF) across its analytics, machine learning, and storage stack as a concerted response to demand from customers already using its popular S3 object storage.…

Lindsay Clark

Scale AI CEO To Trump: 'America Must Win the AI War'

3 months 2 weeks ago
Scale AI CEO Alexandr Wang is taking out a full-page ad in The Washington Post on Tuesday with a succinct message for the new US commander-in-chief: "Dear President Trump, America must win the AI war." From a report: The ad also pointed readers to a five-point plan that would reorient the federal government to invest more in the technology and overhaul priorities for that funding. In an exclusive interview with Semafor, Wang said he was motivated to make his recommendations by a new White House that is both planning to aggressively support new technology and courting input from the industry. "They're listening," he said. "This incoming administration wants to move fast and take a lot of action and really be quite ambitious about a lot of these issues." [...] "What's undeniable, if you think about what the future is going to look like, is the degree to which the amount of computational capability you have will be directly related to how strong your AI capabilities are," Wang said before he arrived at the World Economic Forum in Davos. Wang also recommends the US government should make a larger effort to cut the red tape on new energy production, inviting pent-up demand for private sector investment in the area.

Read more of this story at Slashdot.

msmash

Efficient Text Processing in Linux: Awk, Cut, Paste

3 months 2 weeks ago
by George Whittaker Introduction

In the world of Linux, the command line is an incredibly powerful tool for managing and manipulating data. One of the most common tasks that Linux users face is processing and extracting information from text files. Whether it's log files, configuration files, or even data dumps, text processing tools allow users to handle these files efficiently and effectively.

Three of the most fundamental and versatile text-processing commands in Linux are awk, cut, and paste. These tools enable you to extract, modify, and combine data in a way that’s quick and highly customizable. While each of these tools has a distinct role, together they offer a robust toolkit for handling various types of text-based data. In this article, we will explore each of these tools, showcasing their capabilities and providing examples of how they can be used in day-to-day tasks.

The cut Command

The cut command is one of the simplest yet most useful text-processing tools in Linux. It allows users to extract sections from each line of input, based on delimiters or character positions. Whether you're working with tab-delimited data, CSV files, or any structured text data, cut can help you quickly extract specific fields or columns.

Definition and Purpose

The purpose of cut is to enable users to cut out specific parts of a file. It's highly useful for dealing with structured text like CSVs, where each line represents a record and the fields are separated by a delimiter (e.g., a comma or tab).

Basic Syntax and Usage

cut -d [delimiter] -f [fields] [file]

  • -d [delimiter]: This option specifies the delimiter, which is the character that separates fields in the text. By default, cut treats tabs as the delimiter.
  • -f [fields]: This option is used to specify which fields you want to extract. Fields are numbered starting from 1.
  • [file]: The name of the file you want to process.
Examples of Common Use Cases
  1. Extracting columns from a CSV file

Suppose you have a CSV file called data.csv with the following content:

Name,Age,Location Alice,30,New York Bob,25,San Francisco Charlie,35,Boston

To extract the "Name" and "Location" columns, you would use:

cut -d ',' -f 1,3 data.csv

This will output:

Name,Location Alice,New York Bob,San Francisco Charlie,Boston

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George Whittaker