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.
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It has become a critical aspect in taking business decisions. And unlike others, this trend isn’t 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.
There are a lot of unstructured chunks of data for businesses to resolve, and what’s 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.
Following are some of the top trends of Big Data in 2016
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.
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’ll continue to dominate the market in the coming years too.
Big tech giants like Google and IBM have made their way to open machine learning allowing market’s 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’s finest analytical tools equipped with flawless algorithms are being used by data architects to design work flowcharts.
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.
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.
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’s just a nine-day wonder?
After analyzing the results of a survey conducted on Hadoop enterprises, it is pretty evident that customers are happy and won’t be switching. According to a survey, only 3% anticipated that they’ll use less of Hadoop in the future while the rest declared to use it even more in the years to come.
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.
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.
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An IT Engineer, a Digital Marketer and a Content Marketing Specialist, Sahil Miglani enjoys technical as well as non-technical writing. His passion and urge for gaining new insights on gadgets, smartphones and technology has led him to Konstant Infosolutions. He quenches his thirst for technology through his action oriented writing skills and a profound ability to stay up to date with latest industry trends. Besides this, Sahil is a sports appreciator, a Sachin Tendulkar fan and a keen follower of cricket. He also has a flair for writing sports content. He lives with the belief that his hobbies have turned into his profession, no wonder he is writing wonders.
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