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Data storage has come a long way since the days of disk systems. Sure, those disk systems might still be used here and there—but now all that data is attached to a network and software-defined.
What is data storage?
Data storage is the collection and retention of digital information—the bits and bytes behind applications, network protocols, documents, media, address books, user preferences, and more. Data storage is a central component of big data.
Think about it like this. Computers are like brains. Both have short-term and long-term memories. Brains handle short-term memory in the prefrontal cortex, while computers handle it with random-access memory (RAM).
Brains and RAM process and remember things while awake, and both get tired after a while. Your brain converts working memories into long-term memories while you sleep, and computers transfer active memory into storage volumes when it sleeps. Computers also distribute data by type in the same way brains distribute memories by semantic, spatial, emotional, or procedural.
A brief history of data storage devices
Perhaps the best consolidated history of data storage devices is contained within the first dozen pages of Gordan Haff and William Henry’s From Pots and Vats to Programs and Apps: How Software Learned to Package Itself.
In it, Haff and Henry describe how a 1725 textile worker programmed looms using punchcards that were inspired by automated organs’ cylinders. Punchcards fed information into a 19th century computer as part of the 1890 U.S. Census and remained popular until the era of magnetic tape drives began in the 1950s. From there, the size of magnetic tape drives shrank until they became cassette tapes.
Right before the 1970s, IBM released the floppy disk—which were used for almost everything. Floppies initialized mainframes, stored software applications, and were the only persistent storage device available until hard disk drives (HDDs) dropped in price. HDDs became compact disks (CDs) in the 1980s, and solid state drives (SSDs) replaced the spinning disks with solid chips and flash memory. Flash storage now fits in our pockets as flash drives that hold hard copies of everything we want or need.
Data storage types
Software-defined storage (SDS) uses abstraction management software to decouple data from hardware before reformating and organizing it for network use. SDS works particularly well with container and microservice workloads that use unstructured data, since it can scale in ways hardwired storage solutions simply can’t.
Cloud storage is the organization of data kept somewhere that can be accessed through the internet by anyone—given the right permissions. You don’t need to be connected to an internal network (that’s known as NAS) and aren’t accessing the data from hardware directly attached to your computer. Popular cloud storage providers include Microsoft, Google, and IBM.
Network-attached storage (NAS) makes data more accessible to internal networks by installing a lightweight operating system onto a server that turns it into something called a NAS box, unit, or head. The NAS box becomes an important part of intranets because it processes every single storage request.
Object storage breaks data into discrete units and pairs them with metadata to provide context about what’s contained within it. The data stored in these objects are uncompressed and unencrypted, making them accessible at massive scale to quickly moving workloads—like containers.
File storage arranges data as hierarchical files that users can open and navigate from top to bottom. Since files are stored on back ends and front ends the same way, users can requests files by unique identifiers such as names, locations, or URLs. This is the predominant human-readable storage format.
Block storage splits storage volumes into individual instances known as blocks. Each block exists independently, which gives users complete configuration autonomy. Because blocks aren’t burdened with the same unique identifier requirements as files, blocks are a faster storage system—making them ideal formats for rich media databases.
How do I learn to use storage?
The way you learn to do anything else: practice. Deploying a new storage system is a lot smoother with training, and we have a ton of ways to make sure you’re ready. If you think you’re blessed with an innate knowledge of storage systems—or just want to see if you know enough to be dangerous—take this little storage quiz to assess your skill level. If you need some training, take a few courses from our cloud computing, virtualization, and storage curriculum, complete the whole thing, or take the ones required for you to get a Red Hat Certificate of Expertise in Hybrid Cloud Storage.
Software-defined storage is inherently open. It decouples hardware from software, freeing you from vendor lock-in. Red Hat has taken “open” a step further. Our software-defined storage is also open source. It draws on the innovations of a community of developers, partners, and customers. This gives you control over exactly how your storage is formatted and used—based on your business’ unique workloads, environments, and needs.
All the pieces you need to set up enterprise storage
A software-defined file storage platform to handle high-capacity tasks like backup and archival as well as high-performance tasks of analytics and virtualization. It works particularly well with containers and media streaming.
A software-defined object storage platform that also provides interfaces for block and file storage. It supports cloud infrastructure, media repositories, backup and restore systems, and data lakes. It works particularly well with Red Hat OpenStack® Platform.
The OpenStack word mark and the Square O Design, together or apart, are trademarks or registered trademarks of OpenStack Foundation in the United States and other countries, and are used with the OpenStack Foundation’s permission. Red Hat, Inc. is not affiliated with, endorsed by, or sponsored by the OpenStack Foundation or the OpenStack community.