For storage technology companies, their bread and butter comes from simplifying their customers’ access to their products. That makes APIs that open up storage technologies far more interesting. Should that place be in your own backyard on local servers accessible by a laptop or a mobile device? Should it be offsite in third-party-run data centers in the cloud? Most developers choose a hybrid solution. But deciding on the exact location of that place is now a relevant discussion item. Information must be accessible, usable, movable, and use automated technology to add speed. Storage is no longer just a matter of data warehousing and archiving. That’s especially so in an era in which big data and analytics influence application design. Your data, and that of your customers, is the quintessential result from the use of your software, and it’s important to enable accessibility without size and speed limits. Meanwhile, your own challenge is to securely store and access the data your own company acquires and needs to manage. The API is maintained by developers who know their own product's features and how best to use those features. If you use a published API, you don’t have to develop that expertise in-house yourself, and you can roll its capabilities into your own software-including enhancements over time. Someone else figured out how to solve a programming problem so you don’t have to do it yourself, whether the task is integrating your application with Slack or displaying NASA’s photo of the day on your website. One way to add new functionality without having to become an expert in every little thing is by using an application programming interface (API) to another product.ĪPIs let you take advantage of another developer's efforts. This is then a tripling of your data infrastructure investments and while it is a massive expense, there are no two ways about it.Software developers plan ahead to offer new capabilities to their applications efficiently and at low cost, benefiting users and the company. What this means is that if there are 20 petabytes of data indexed each day, Google will need to store as much as 60 petabytes of data. According to a paper published on the Google File System (GFS), the company duplicates each data indexed as many as three times. When we are talking about indexing several petabytes of information each day, then the threat to loss of such data is extremely real especially if you are Google and your business depends on data. Lesson: Prioritize your data and decide what to do with them – remove them, put them on cold storage or keep them in your active servers. While such contents cannot be deleted, Google puts such data in “cold storage” which are essentially cheaper servers that keep data in compressed form that makes data retrieval slower. At the same time, cached pages of an inconsequential news item from the 1990s doesn’t get accessed frequently today. Cached versions of dead web pages (that have been removed or edited) have no reason to be stored on Google servers and may be removed from its servers. There are some data that is accessed quite frequently, others not so frequently while the rest may not be relevant any longer. The first mantra when it comes to storage and retention is that not all data is made equal. The Google search engine business thrives on data and so how they store, manage and retain data is a great lesson for any technology company. Lesson: Classify your servers to perform specific data processing components. Also, it helps run these various processes in parallel and thereby further reduces the time it takes to build the final results page. The benefits from using such designated servers and structured data processing systems is two-fold – Firstly, it helps the search engine save time by reaching out to specific servers to retrieve specific components that make up the final results page. In comparison, it took the same spiders from the Data-Gathering servers nearly 1375 minutes to crawl content which did not contain sitemaps. One study found that it takes Google 14 minutes on an average to crawl content from sitemaps. Even when it comes to populating these servers, it has been found that Google tries to prioritize organized and structured content over unstructured ones. They have Index servers that contain the list of document IDs that contain the user’s query, Ad servers that manage ads on the search results pages, Data-Gathering servers that send out bots to crawl the web and even Spelling servers that help correct the typos present in a user’s search query. On a similar note, Google has servers designated to perform specific tasks. Four Strategies For Effective Database Compliance
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