#data compression

[netscapenavigator-official]

I downloaded an entire 20-Season series via a torrent. The torrent came in around 160+ GB. After re-encoding everything as AV1 via Shutter Encoder, it's currently on path to being around 55 GB when it's complete.

This shit's crazy. I wish torrent makers would utilize modern codecs and file types before seeding them. It'd sure save a lot of bandwidth, data, and time downloading 7zips and AV1 media, rather than ZIP and H.264/5 media. And, like, given that 7zip is open-source and VLC supports AV1, and both are free and open-source, there's literally no excuse.

[thedbahub]

Optimizing Column Order for Non-Clustered Columnstore Indexes in SQL Server

Introduction Want to supercharge query performance on your large SQL Server tables? Non-clustered columnstore indexes are a powerful tool for achieving blazing-fast analytics queries. But to get the most benefit, it’s crucial to choose the optimal column order when creating the index. In this post, you’ll learn the key principles for determining the best column order, with concrete examples to…

[vmunroe]

memes are a psyop by big tech to make social media sites easier to compress for data storage

[govindhtech]

The Ultimate Guide to Data Compression Solutions

Faster data transfers and effective data storage solutions are supported by Data compression. It enhances digital system and network performance as well as data management. Data compression, sometimes referred to as source coding or bit-rate reduction, is the process of changing, encoding, or converting individual data bits to minimize storage space requirements, speed up data transfer, and save operating expenses.

Lossy vs Lossless Data compression

There are basically two types of knowledge compression techniques:

Lossy versus Lossless. Understanding the particular kind of Data compression that works best for your use case is a smart place to start when defining the term.

Poor Data Compression

Higher compression ratios are attained at the expense of some data by lossy Data compression techniques. Multimedia formats like JPEG for images and MP3 for audio frequently employ this kind of compression. Although lossy Data compression significantly reduces file size, some quality is also lost. It works well in scenarios like streaming media where a loss is tolerable.

Compression of Data Without Loss

As the name implies, lossless compression algorithms preserve all of the original data. They are frequently employed in settings like text documents and program files where data integrity is vital. Because data has been compression using lossless methodologies, every last bit of the initial data can be restored with the compressed version without any information being lost.

Data Compression Uses and Examples

For maintaining data availability and recovering in situations of system as failures, data corruption, or emergencies, backup of information has an imperative responsibility. Nonetheless can take a lot of time and resources to back up a lot of data.

Before storing data in backup archives, IT experts utilize file compression techniques to reduce its size. A business might, for instance, have a daily backup schedule that includes moving configuration files, system logs, and sizable databases to a backup server. These kinds of data files have the potential to take up a lot of storage space.

More instances of Data compression and the reasons they are employed in different business contexts are provided below:

Compression of Files: The most common application of Data compression is file compression. By reducing their size, files become easier to manage for storage and transfer more quickly. The ZIP, RAR, and 7z file compression formats are often used.

Consider that you have a PowerPoint presentation that includes a ton of comprehensive charts, embedded movies, and high-resolution photos. It is necessary for you to send this huge file to a colleague via email.

Sending this big file in its original state might have been a hassle. It could be difficult for your colleague to download, take a long time to upload, and use up all of your email storage space. With a popular file compression format like ZIP, these problems are readily resolved.

Compression of Videos: Due to the enormous amount of data needed for each frame, video files are known for being larger files. Video teleconferencing, streaming media, and YouTube video storage all requires compression for video. Following formats for encoding videos are H.265 (HEVC) and H.264 (AVC).

Thinking of an institution that has a comprehensive closed-circuit television, or CCTV, safety system. Various high-definition IP surveillance cameras are positioned deliberately through the estate within the framework of this system’s equipment to continuously record and monitor activity. These cameras continuously record a considerable amount of visual data.

Managing and storing this enormous amount of video material might easily become burdensome and expensive without Data compression. Using Data compression methods designed for security video applications is the answer.

When calculating the amount of storage needed for video surveillance systems that use video compression, Seagate’s Surveillance Storage Calculator is a useful resource.

Compression of Images: In graphic design and photography, picture compression enables quicker digital image loading times and more effective photo storage. JPEG is a popular picture compression format that strikes a compromise between original size and image quality.

The main platform used by an e-commerce company to present its products to customers is its website. High-resolution photographs are featured on the website because the e-commerce market is largely visual. However, the performance of websites, user experience, and operating costs can all be negatively impacted by huge picture file sizes.

The e-commerce company uses picture compression more especially, commonly used formats like JPEG to solve this problem and enhance the functionality of its website. This enhances user experience, lowers operating costs, and optimizes website performance all while enabling the business to display high-quality product photos.

Compression of Audio: Digital music is built on the foundation of audio compression. Lossy compression (LC) has been employed by technologies like MP3, AAC, and OGG in order to minimize the size of music recordings without sacrificing sound quality. Audiophiles who desire uncompromised quality favor lossless audio compression formats like FLAC.

A high-quality audio streaming music service gives customers access to a vast song catalog for listening on several devices. In order to provide a flawless user experience, the service uses audio compression algorithms, mostly lossy ones.

Systems for Computers: Computer systems require Data compression in order to work. Compressed files are frequently used by operating systems to save storage space and enhance system efficiency. By doing this, you can be confident that your computer will function properly even when its storage is full.

Updates are frequently applied to modern computer systems and their operating systems to enhance functionality, security, and performance. Large files including system files, application upgrades, and software fixes may be included in these updates. For users and system administrators, effectively handling these updates can become a difficult undertaking in the absence of Data compression.

Communication: Data compression in telecommunications lowers the bandwidth needed for data transmission. Faster internet connections, effective data movement across networks, and seamless video conferencing are all made possible by it.

The effective transmission of high-quality audio and video data via networks is essential for video conferencing. The bandwidth needs for this real-time communication would be high without Data compression, which would result in lag, dropped connections, and poor call quality.

Things to Think About

When applying Data compression in IT systems or apps, make sure you adhere to best practices specific to the kind of data you’re working with for optimal efficiency. Analyzing your data analytics may also assist your company in maximizing the value of its data.

The Best Methods for Compressing Data

Achieving effective Data compression involves more than just reducing file size. In addition, the compression must guarantee that the data is still accessible when needed and maintain data performance and integrity.

The following are recommended methods to guarantee safe and efficient Data compression:

Ascertain the Compression Level

Prior to applying compression, determine the necessary compression level. You should strive for maximal compression for some file formats and give data integrity preservation priority for others. The secret to achieving the finest outcomes that satisfy your business goals is striking the correct balance.

Imagine a company that handles text documents, such as financial reports and contracts. Maintaining data integrity is critical for these papers. It is ensured that no information is lost during the compression process by using a lower compression level or even lossless compression.

On the other hand, larger compression levels can be used to conserve storage space without causing a major loss of data if the company archives old emails or less important documents.

Type of Compression

Based on the types of data, select the suitable compression technique. While multimedia and video files frequently employ lossy compression, text and program files typically use lossless compression.

A media production company, for example, has a huge collection of high-definition video clips stored. It employs lossy compression algorithms to lower file sizes for distribution and internet streaming while preserving a respectable degree of video quality. Nonetheless, the company ensures that no data is lost during archiving by using lossless compression for their project documentation.

Take Duplication Into Account

The operation of uncovering and eliminating duplicate information from a set of values in order minimize its size is known for data deduplication. This further minimizes the requirement for extra storage devices.

Deduplication can be used in conjunction with compression or independently of it, depending on the particular data management plan. It works best with enterprise storage systems that frequently use data redundancy.

Keep an eye on Compression Efficiency

It’s crucial to keep an eye on your Data compression procedures’ performance to make sure the intended outcomes are being attained without compromising data quality. This may entail routine evaluations of file sizes, decompression speeds, and compression ratios.

For instance, a cloud storage company continuously assesses how well its compression algorithms are working. In order to enhance the process, the corporation may adjust the compression settings or look into different algorithms if it discovers that a certain sort of data is not compressing properly. This continuous assessment guarantees the continued efficacy and efficiency of the Data compression.

Make the most of the task

Various compression techniques may be needed for different activities or projects, depending on the volume and kind of data. For optimal results, you must tailor your compression technique to the unique requirements of your project.

Original Data Backup

Preserve a copy of the original, uncompressed data at all times. In the event that data is lost or corrupted during compression or decompression, you will have a perfect copy to rely on. Frequent original data backups are an essential safety precaution.

For example, a big CAD file containing complex architectural plans is used by an architectural business. To save storage space, they use lossless compression. To avoid any possible data loss owing to unanticipated problems during the compression process, they do, however, maintain stringent backup processes for the original, uncompressed CAD files.

Businesses can efficiently utilize the power of Data compression to ensure data efficiency, cost savings, and data integrity by adhering to these best practices. In data management, Data compression is a tactical advantage that improves performance and data storage methods.

Examine Seagate’s offerings for data backup and recovery

An essential idea in data management and IT is Data compression. It improves the effectiveness and economy of data transfer and storage for your company. Through an awareness of the various compression techniques, when to employ them, and best practices for implementation, IT teams and companies may effectively leverage the power of Data compression.

To protect your data, Seagate provides a variety of data backup and recovery options. Speak with a specialist right now to simplify operations and safeguard your company with strong data protection.

Read more on Govindhtech.com

[lionmageaz]

AI language models can exceed PNG and FLAC in lossless compression, says study – Ars Technica

This seems almost obvious once you think about it. Glad to see several someones are doing actual research on this! It amazes me that you can get a language model to compress binary data.

[infosectrain03]

The OSI model provides a standardized framework for the interaction and communication between various networking protocols and technologies within a network. It breaks down the communication process into seven distinct layers, each with specific responsibilities, and ensures that data communication between devices is seamless and uniform. One significant layer in the OSI model is the Presentation Layer.

[warmfuzzyanimal]

new icon, directly inspired by my morning walks ^__^ 🌲🌲🌲☁️

[sk0rbut]

[superbellsubways]

hiii umm I rlly rlly like this art of static miku and I was wondering if I could use it as a pfp somewhere? with credit of course ^_^

https://www.tumblr.com/superbellsubways/785159546487373824/its-her

YA go ahead!! im also gonna include each miku on their own for funsies

[spookyshoosh]

Happy Birthday Data!! ✨🥳

Here’s Data in a bunch of different outfits I would’ve loved to see him in, including civilian and holodeck clothes. I was absolutely determined to finish this in time for his birthday, so here it is!

[opens-up-4-nobody]

...

[netscapenavigator-official]

After days (weeks?) of re-encoding my Jellyfin video library to AV1, all is finally completed. The final tally:

Default: 122.97 GB

AV1: 56.28 GB

Nearly 67 whole GB saved, so I guess the wait was somewhat worth it.

[devilfic]

*praying matt reeves puts battinson in a black compression tee so a 19 year old on tiktok with capcut can edit him twirling his slutty waist to an odetari song*

[tokitooth]

i always bring up spotify’s lack of lossless streaming as a reason to stop using it and people always respond by saying that most people can’t hear the difference and it always frustrates me because like. i’m not gonna deny that i’m probably more attuned to hearing the difference between lossless and lossy because i took audio engineering classes but it feels like woefully missing the point. it’s not about the streaming quality by itself (barring the fact that while most people can’t hear the difference switching from lossy to lossless, they can hear it switching back from lossless to lossy), it’s about the fact that spotify could be offering an objectively superior product but are simply choosing not to. it’s about the fact that streaming services that have lossless audio are either the same price (deezer) or cheaper (apple music, tidal) than spotify, giving spotify absolutely no excuse to not offer lossless audio. it’s about how the streaming quality setting in spotify is set to low by default and lots of people don’t even know that’s a setting you can change. when you say “people can’t tell the difference anyway” you’re kind of doing spotify’s dirty work for them, which is deliberately not giving your customer base a better product operating on the assumption that the customer doesn’t know there’s better out there. i think it’s shitty as a business practice and also entirely disrespectful to music as an art form

[lesbiansaavikk]

in honor of star trek generations turning 30 this year here's a french add for the movie :

individual scan in 3 parts :

(found in studio magazine, issue from march 1995)

[robnergal-yt]

File Compression and Encryption

Better practice to compress before you encrypt.

If you are going to encrypt before you compress things, you had better be absolutely certain that it is a Lossless form of compression.

Why are you encrypting something that you need to compress anyway? weirdo