{"id":785,"date":"2019-05-21T06:09:10","date_gmt":"2019-05-21T10:09:10","guid":{"rendered":"https:\/\/treehousetechgroup.com\/?p=785"},"modified":"2021-05-20T11:22:21","modified_gmt":"2021-05-20T15:22:21","slug":"guest-post-the-benefits-issues-and-2019-predictions-for-big-data","status":"publish","type":"post","link":"https:\/\/treehousetechgroup.com\/guest-post-the-benefits-issues-and-2019-predictions-for-big-data\/","title":{"rendered":"Guest Post: The benefits, issues and 2019 predictions for Big Data"},"content":{"rendered":"\n
They say \u201cgo big or go home\u201d, but that theory doesn\u2019t work for the enormous amounts of constantly-collected data that inundates businesses day-to-day. It\u2019s not the amount of data that\u2019s important, it\u2019s what organizations do with it that matters. <\/em> Big Data isn\u2019t the wave of the future – it\u2019s now and it\u2019s constantly evolving. We are on a never-ending quest for data for an obvious reason: it\u2019s the commodity that sparks digital inspiration. This technology keeps on providing more customizable experiences and helps predict the best possible outcomes for businesses and their clients. In fact, by the end of 2021, it is estimated that 70% of enterprises will implement AI<\/a>. Since Big Data is more than a trend and can\u2019t be ignored, we suggest making it work for you. Consider what is coming next: What are the benefits and deficits to encounter in 2019? Are we going to witness the big return of data lakes <\/a>and private cloud storages? Is the process ever going to gain transparency? Here are the Big Data trends to follow to make your data flow seamlessly…<\/p>\n\n\n\n Some say that data is the new fuel and currency of our time. Whatever parallel you want to use, the principle behind it is the same: data is the most valuable asset you can have in your business. But only if you use it the right way. The benefits of applying Big Data information to your company are enormous. The sooner you implement those principles to your company, the better the benefits will be. Some of the major advantages of data solutions are: Big Data sounds pretty miraculous, but like anything, there is always a downside. Migrating to cloud computing means more diligence is needed with sensitive data. Data breaches are a severe problem today. If you are using a public cloud – there is always a security risk hidden somewhere. A data breach could happen in numerous types of ways: hacked accounts lost laptops or hand-held devices, or losing a password to any one of your dozens of accounts. Data and identity theft can happen in the blink of the eye if you are not careful. Other types of threats include hijacking accounts and data loss. Data breaches can hurt businesses and consumers in a variety of ways. They are a costly expense that can damage lives and reputations and take time to repair. Keep in mind that most employee-related incidents are not malicious. In order to protect the personal data of your customers and your own important documents, think about distributing content leadership roles. To protect your most sensitive files and valuable documents, consider using automatic redaction software<\/a>. Also, one of the most important issues businesses can encounter is how fast a data stream can be processed. Due to the enormous volume of data that has been collected by different sources, consistent timing and fast response to events are crucial. It is hard to keep up the pace of handling all the raw data. Integrating the assets of Big Data into your company will probably inspire a complete evolution of organization by embracing brand new tools.<\/p>\n\n\n\n Just when we thought we\u2019ve seen everything, it turns out the wheels of change are still turning. This year we will witness some new changes and some other comebacks. What we can expect? Not little, but let’s just say a slimmer version…and that is not necessarily a bad thing. We don\u2019t think that enterprises will simply reject the huge amounts of data they have been carefully collecting. But, this could happen in a reasonable manner because of the practicality of storing huge amounts of data. Not all collected data is important and we must learn how to use it better and remove the sluff along the way.
<\/p>\n\n\n\nHow Big Data can optimize your business processes in 2019<\/h2>\n\n\n\n
<\/p>\n\n\n\nWhat are the issues with Big Data?<\/h2>\n\n\n\n
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<\/p>\n\n\n\nWhat are the predictions for 2019?<\/h2>\n\n\n\n
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