{"id":954,"date":"2019-02-26T07:47:04","date_gmt":"2019-02-26T07:47:04","guid":{"rendered":"https:\/\/www.testpreptraining.com\/blog\/?p=954"},"modified":"2019-02-26T07:49:09","modified_gmt":"2019-02-26T07:49:09","slug":"future-of-big-data-in-2019","status":"publish","type":"post","link":"https:\/\/www.testpreptraining.ai\/blog\/future-of-big-data-in-2019\/","title":{"rendered":"Future of Big Data in 2019"},"content":{"rendered":"\n

Want to become an expert in Big data analytics, or a Data Scientist, or Big Data architect and don’t know about the future of big data, well you have landed on the right page.<\/p>\n\n\n\n

IT industry has seen an immense growth and impact of Big data and its capabilities. The coming years are yet to see a huge advancement and revolution in the field of data science and analytics. With the upcoming tends and application of Big Data<\/a> the prediction of its future speaks for itself.<\/p>\n\n\n\n

We\nshall now discuss in details some of the latest predictions made by top\nindustry experts about Big Data. <\/p>\n\n\n\n

#First Prediction \u2013 Need\nfor Real-Time Analytics<\/strong><\/h4>\n\n\n\n

In\nthe earlier times organizations focussed on generating relevant data either weekly,\nmonthly or annually but with rising competition and ever-changing stream of\ndata, organizations are required to prioritize real-time data streaming inevitability\nto step above the competition in 2019. The live data streaming capabilities helps\nthe organizations to analyse the data once it becomes accessible. Real time\nanalytics considerably improves the entire process of data analysis and permits\nmajor data science industries to know about the data trends the moment they\nhappen. Real time analytics and live data streaming technology helps greatly within\nthe field of Artificial Intelligence and Machine Learning by accurately\nupdating the user with accurate predictions about the market by efficiently and\ninstantly analysing any frequent changing patterns within the real-time data\nstream.<\/p>\n\n\n\n

#Second Prediction \u2013 Source\nof Innovative Revenue Stream<\/strong><\/h4>\n\n\n\n

Since\nindustries are giving a lot of significance to mature and reliable data sets, availability\nand accuracy of data has successively set its roots as a crucial factor for market\nprediction. It has also been predicted that in the coming years data will be\nresponsible for generating revenue by offering data as a service. In which case\nthe data sets will be used to derive insights and generating recommendations\nfor third parties. <\/p>\n\n\n\n

#Third Prediction \u2013 Increased\nrequirement of Cloud and Big Data <\/strong><\/h4>\n\n\n\n

Industries are experiencing ever-growing collection of data sets, with the hope to reduce cost and increase efficiency within the data analytics process. Leading to which combination of big Data and cloud Computing<\/a> have become a perfect combination for the businesses over the industry. It has also been predicted that the global spending on big data solutions via the cloud will grow up to 7.5 times faster than on-premise solutions as it is cost-effectiveness, together with wide availability, and easy accessibility<\/p>\n\n\n\n

#Fourth Prediction \u2013\nGrowth in Artificial Intelligence<\/strong><\/h4>\n\n\n\n

With the growth and transformation of Artificial Intelligence, IT industry has nearly transformed inside out ever since the commencement of the concept. Industries are adapting and implementing artificial intelligence and its enhancement through big data at a growing rate, which might be inevitable transformation to lay down its initial roots. Also, the growing need of big data <\/a>for making decisions, Artificial Intelligence as service vendors will be able to provide efficient, low-cost AI-powered tools to specific businesses that have already built out their data sets. <\/p>\n\n\n\n

#Fifth Prediction \u2013 Emergence\nof Ethical Intelligence<\/strong><\/h4>\n\n\n\n

There\nis a heft of data across industries leads to moral questions such as its\ncapability to take critical decisions where data is not the only element\nrequired for concluding.<\/p>\n\n\n\n

There\nis a niche for a machine to respond ethically and base its decisions on ethical\nbackground, by looking the data with a new perspective. This would require the\nemergence of Ethical Intelligence implemented within the AI-powered machines to\nsimulate a closer human-like thinking network. Industries face the rising need\nfor Ethical Intelligence as a field due to the rapid growth of AI technology.<\/p>\n\n\n\n

#Sixth Prediction \u2013 Rise\nin Demand for Data Scientists<\/strong><\/h4>\n\n\n\n

Since the major players in the technology-based industry have got onto the Artificial Intelligence and Machine Learning movement, there would be a huge requirement for big data <\/a>to properly utilize said technologies is more of necessity now. This would ultimately lead to a rise in the demand for Data scientist in the coming years.<\/p>\n\n\n\n

#Seventh Prediction \u2013 Growth\nin Edge Computing<\/strong><\/h4>\n\n\n\n

The growing data collection in organizations, leads to immediate requirement to reduce the lag between the processing and the collection process. This would further emphasise the need for edge computing in the coming years. Edge computing is one of the methods of cloud computing<\/a> where the servers are brought to the \u201cedge\u201d of the cloud computing barrier. Edge Computing brings the servers that process and collects the said data as close as possible to the users to minimize the lag duration. Edge Computing, can process and collect the data themselves by accessing the closest node to the edge computing that enabled server located nearby ensuring better performance and reducing cloud computing costs. <\/p>\n\n\n\n

#Eighth Prediction \u2013 Rise\nin Natural Language Processing<\/strong><\/h4>\n\n\n\n

There\nis an urgent requirement to retrieve data quickly and efficiently. Natural\nLanguage Processing (NLP) is a sub-section of Artificial Intelligence field that\nhas been used to interpret verbal human language and convert it into a\nmachine-understandable language. NLP permits to skip writing complex commands\nthat require technical understanding as a prerequisite and just communicate with\nthe machine normally. This integration of NLP within big data will permit easy\nand faster data retrieval speeds. <\/p>\n\n\n\n

#Ninth Prediction \u2013 Emphasis\non Protecting Personal and Private<\/strong><\/h4>\n\n\n\n

Often\nconsumers are hesitant to share their personal while using an application\nprovided by an organization this ultimately puts the focus of the organizations\non protecting user\u2019s data on priority. Given the various incidences of data\nhacking and court hearings for major technology giants with reference to privacy\nand security has made privacy mainstream.<\/p>\n\n\n\n

#Tenth Prediction \u2013\nEffort to maintain Clean Data<\/strong><\/h4>\n\n\n\n

The\nincreasing need for maintaining and collecting data by industries there also\narises the requirement for data cleaning i.e., generating uncluttered and\nreliable data. Data scientist spend most of their time cleaning data even before\nstarting to build reliable data sets and designing relevant algorithms. The\nincrease in the size of clean data there would be a need for new and more\nreliable cleaning algorithms to build an efficient process. Coming years will experience\ndata cleaning as a priority in a quick and efficient manner<\/p>\n\n\n\n

Big\nData market is experiencing a considerable shift in trend with the merger of\ntwo big data giants \u2013 Cloudera and Hortonworks and the coming years are bound\nto have a upsurge for data scientist and big data professionals. <\/p>\n","protected":false},"excerpt":{"rendered":"

Want to become an expert in Big data analytics, or a Data Scientist, or Big Data architect and don’t know about the future of big data, well you have landed on the right page. IT industry has seen an immense growth and impact of Big data and its capabilities. The coming years are yet to…<\/p>\n","protected":false},"author":1,"featured_media":955,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[7,55,53,20,54],"class_list":["post-954","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cloud-computing","tag-aws","tag-azure","tag-big-data","tag-cloud-computing","tag-google"],"acf":[],"yoast_head":"\nFuture of Big Data in 2019 - Learning Blog<\/title>\n<meta name=\"description\" content=\"Want to become Big data analytics, or a Data Scientist, or Big Data architect? 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