CSV

CSV (Comma Separated Values) is a row-based file format primarily used for storing data that can be decomposed into rows and columns. There are various specifications and implementations for CSV format, but a common format for CSV files is described in RFC 4180

In a CSV file, a row corresponds to a data record. Within a data record, each field (columns) is separated by a character. The common implementation of CSV uses Comma as the field delimiter. But depending on the implementation, colons, semicolons, spaces, tabulation, or other characters can be used.

Advantages of CSV format:

  • It is human-readable.
  • It has a flat and simple schema, easy implementation.
  • Can be processed by almost all existing applications.

Drawbacks of CSV format:

  • Not universally standardized, various implementations.
  • Must be read sequentially, can take time to find information inside.
  • Not the most memory-efficient file format.
  • No support for diverse data types.

Related articles

CSV package for Node.js version 6

CSV package for Node.js version 6

Categories: Node.js | Tags: Data Engineering, Refactoring, CSV, File Format, Release and features

Version 6 of the package for Node.js is released along its sub projects. Here are the latest versions: version , latest version was NPM version , latest version was NPM version , latest versionā€¦

David WORMS

By David WORMS

Nov 15, 2021

H2O in practice: a protocol combining AutoML with traditional modeling approaches

H2O in practice: a protocol combining AutoML with traditional modeling approaches

Categories: Data Science, Learning | Tags: Automation, Cloud, H2O, Machine Learning, MLOps, On-premises, Open source, Python, XGBoost

H20 comes with a lot of functionalities. The second part of the series H2O in practice proposes a protocol to combine AutoML modeling with traditional modeling and optimization approach. The objectiveā€¦

H2O in practice: a Data Scientist feedback

H2O in practice: a Data Scientist feedback

Categories: Data Science, Learning | Tags: Automation, Cloud, H2O, Machine Learning, MLOps, On-premises, Open source, Python

Automated machine learning (AutoML) platforms are gaining popularity and becoming a new important tool in the data scientistsā€™ toolbox. A few months ago, I introduced H2O, an open-source platform forā€¦

Faster model development with H2O AutoML and Flow

Faster model development with H2O AutoML and Flow

Categories: Data Science, Learning | Tags: Automation, Cloud, H2O, Machine Learning, MLOps, On-premises, Open source, Python

Building Machine Learning (ML) models is a time-consuming process. It requires expertise in statistics, ML algorithms, and programming. On top of that, it also requires the ability to translate aā€¦

Comparison of different file formats in Big Data

Comparison of different file formats in Big Data

Categories: Big Data, Data Engineering | Tags: Business intelligence, Data structures, Avro, HDFS, ORC, Parquet, Batch processing, Big Data, CSV, JavaScript Object Notation (JSON), Kubernetes, Protocol Buffers

In data processing, there are different types of files formats to store your data sets. Each format has its own pros and cons depending upon the use cases and exists to serve one or several purposesā€¦

Aida NGOM

By Aida NGOM

Jul 23, 2020

Node.js CSV version 4 - re-writing and performance

Node.js CSV version 4 - re-writing and performance

Categories: Node.js | Tags: CLI, Data Engineering, Refactoring, CSV, Release and features

Today, we release a new major version of the Node.js CSV parser project. Version 4 is a complete re-writing of the project focusing on performance. It also comes with new functionalities as well asā€¦

David WORMS

By David WORMS

Nov 19, 2018

Node CSV version 0.2.7

Node CSV version 0.2.7

Categories: Hack | Tags: Pipeline, CoffeeScript, CSV, Node.js

While Iā€™m release version 0.2.7 of the CSV parser for Node.js, I stop here to drop a few lines of what has made into this release. We are now using the latest CoffeeScript, which is version 1.4.ā€¦

David WORMS

By David WORMS

Jul 9, 2013

Node CSV version 0.2.1

Node CSV version 0.2.1

Categories: Node.js | Tags: CoffeeScript, CSV, Release and features, Streaming

After the announcement of the version 0.2.0 of the Node.js CSV parser at the beginning of october, we are releasing today a new version 0.2.1. This is mostly a bug fix release with enhancedā€¦

David WORMS

By David WORMS

Jul 24, 2012

Node CSV version 0.1 and future developments

Node CSV version 0.1 and future developments

Categories: Node.js | Tags: CoffeeScript, CSV, Markdown, Release and features, Streaming

The Node CSV parser has just reach version 0.1 which close the 0.0.x releases. Started almost 2 years ago, the project has received a tremendous amount of participation in the form of bug reportsā€¦

David WORMS

By David WORMS

Jul 21, 2012

Node CSV version 0.2 with streaming API

Node CSV version 0.2 with streaming API

Categories: Node.js | Tags: Data Engineering, CSV, Markdown, Node.js, Streaming

The Node CSV parser in its version 0.2 has just been released. This version is a major enhancement as it aligned the parser with the best Node.js practice in respect of streams. The CSV parser behaveā€¦

David WORMS

By David WORMS

Jul 2, 2012

How Node CSV parser may save your weekend

How Node CSV parser may save your weekend

Categories: Hack | Tags: Bash, Hack, CSV, Node.js

Last Friday, an hour before the doors of my customer close for the weekend, a co-worker came to me. He just finished to export 9 CSV files from an Oracle database which he wanted to import intoā€¦

David WORMS

By David WORMS

Dec 13, 2011

Canada - Morocco - France

We are a team of Open Source enthusiasts doing consulting in Big Data, Cloud, DevOps, Data Engineering, Data Scienceā€¦

We provide our customers with accurate insights on how to leverage technologies to convert their use cases to projects in production, how to reduce their costs and increase the time to market.

If you enjoy reading our publications and have an interest in what we do, contact us and we will be thrilled to cooperate with you.

Support Ukrain