{"id":3822,"date":"2016-12-05T16:49:21","date_gmt":"2016-12-05T11:19:21","guid":{"rendered":"http:\/\/www.konstantinfo.com\/blog\/?p=3822"},"modified":"2017-02-13T16:53:48","modified_gmt":"2017-02-13T11:23:48","slug":"top-big-data-trends-for-2016","status":"publish","type":"post","link":"https:\/\/www.konstantinfo.com\/konstant-blog\/top-big-data-trends-for-2016\/","title":{"rendered":"Top Big Data Trends for 2016"},"content":{"rendered":"

The latest tech change asking everyone to pay attention is Big Data, which grabbed headlines for the whole year in 2015. It certainly changed the way business owners used to take decisions or analyze the market. The storage, analysis of data, decision process and everything that support a business owner to take calls have transformed incredibly. They discovered a whole new world of computation, data modeling, storage, mining and analysis.<\/p>\n

Read more – Top Mobile App Analytical Tools<\/a><\/strong><\/p>\n

It has become a critical aspect in taking business decisions. And unlike others, this trend isn\u2019t fading anytime soon but is expected to grow in the years to come. 2016 is the year of research and analytics, where businesses dig in deep to explore opportunities offered by Big Data.<\/p>\n

There are a lot of unstructured chunks of data for businesses to resolve, and what\u2019s a better partner than Big Data Solution provider. Systems evolve, standards change, working pattern revamps and data scientists along with enterprises understand the value and power of Big Data.<\/p>\n

Following are some of the top trends of Big Data in 2016<\/p>\n

Unstructured Content Analysis<\/h2>\n

While most of the content seems unstructured and scattered, the analysis of the same becomes important in making it valuable and meaningful. The tools and techniques have seen a revised version while the ways data (for decision making) was analyzed previously have also been revamped. The community leaders and technologists have adopted new methodologies to impact businesses. The scope of business analytics will rise and encourage specialists to rely on Big Data analytical tools.<\/p>\n

Dramatic shift towards Apache Spark<\/h2>\n

The year 2015 brought a drastic change with the adoption of Apache Spark as a Big Data platform ahead of MapReduce. It started being prominently favored at the enterprise level as we concluded 2015. With a faster data processing speed and an enterprise-ready framework, Spark holds an upper hand against the popular Hadoop MapReduce. Companies are aggressively adopting Spark as their next big data analytics platform, and with no question, it\u2019ll continue to dominate the market in the coming years too.<\/p>\n

Open Machine Learning<\/h2>\n

Big tech giants like Google and IBM have made their way to open machine learning allowing market\u2019s data scientists and technologists to explore the world of predictive analytics. This not only opens doors for new learnings but also allows enterprise owners to take decisions in a more calculative manner diminishing their chances of getting failed. The world\u2019s finest analytical tools equipped with flawless algorithms are being used by data architects to design work flowcharts.<\/p>\n

This power of predictive analysis comes with a responsibility of devising plans that will rule the future. In addition to this, companies are also focused on measuring their potential success and growth rate in the future.<\/p>\n

Say no to SQL databases<\/h2>\n

This is this one habit most enterprises in the recent past have shown. They are switching towards unconventional ways of storage with new companies in this field like DataStax, MarkLogic, Amazon Web Services that are registering staggering growth numbers. Database sector was earlier dominated by Oracle, IBM and Microsoft, which now looks like being replaced with NoSQL databases. NoSQL is becoming the prime choice for enterprise owners due to its schema-less database concept.<\/p>\n

Companies focus on deploying innovative tools to store and manage structured as well as unstructured data. They are keen on making a shift from traditional methods to modern techniques and tools like Alteryx, Trifacta and Informatica Rev. The NoSQL newbies have started to gain momentum outperforming the market leaders. It would be exciting to see how these new tech companies grow in future. Will they continue to excel or it\u2019s just a nine-day wonder?<\/p>\n

Hadoop live high on hog<\/h2>\n

After analyzing the results of a survey conducted on Hadoop enterprises, it is pretty evident that customers are happy and won\u2019t be switching. According to a survey, only 3% anticipated that they\u2019ll use less of Hadoop in the future while the rest declared to use it even more in the years to come.<\/p>\n

Countless options for end-users<\/h2>\n

Enterprises have shown a positive shift towards user-generated data discovery tools that save time and effort. A considerable reduction in time can be observed while analyzing huge data sets- big thanks to data analytics approaches including Alteryx, Tableau, Trifacta.<\/p>\n

Companies demanded tools that reduce complexity, time and identify desired data sets quickly for analysis. Sighting the same, they have started investing heavily on the optimized solutions.<\/p>\n

Having expertise and skills in developing mobile and web apps, we empower our clients to succeed in this digital age with apps developed with the extreme level of precision. Our professionals are constantly learning new, modern technologies.<\/p>\n

Want to explore more opportunities? Mail us<\/a> your requirements and we\u2019ll get back to you at the earliest.<\/p>\n","protected":false},"excerpt":{"rendered":"

The latest tech change asking everyone to pay attention is Big Data, which grabbed headlines for the whole year in 2015. It certainly changed the way business owners used to take decisions or analyze the market. The storage, analysis of data, decision process and everything that support a business owner to take calls have transformed… Continue reading Top Big Data Trends for 2016<\/span><\/a><\/p>\n","protected":false},"author":16,"featured_media":3823,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[150],"tags":[880],"class_list":["post-3822","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-big-data-trends","entry"],"yoast_head":"\nTop Big Data Trends for 2016 - Konstantinfo<\/title>\n<meta name=\"description\" content=\"Technology evolution has been the buzz lately with innovative things happening in some or the other sector. 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