The Startup buzz is gaining grounds and it has transformed the way enterprises strategize and operate. Startups are known to leverage various technologies that boost cost effectiveness, efficiency and time to market. For instance, thanks to the Open source platforms, today Startups have access to the best Big Data infrastructure and testing tools at \u2018zero\u2019 cost. They run a mile further in optimizing the Cloud to reap the most from their Big Data investments.<\/p>\n
Big Data implementation for enterprises can work wonders. What you need is a robust application that is rigorously twisted and tested to fit your organization\u2019s requirements and objectives. <\/strong><\/p>\n IDC (a market research firm) estimates 50% increase in revenues from the sale of Big Data and business analytics software, hardware, and services between 2015 and 2019.\u00a0Big Data and Analytics Sales are expected to reach $187 Billion by 2019.<\/p>\n How does Big Data Empower Businesses?<\/strong><\/span><\/p>\n Big Data has proved to be a game changer for American retail stores, as they have been able to further analyze and effectively segment the customer database and market. This has enabled to create customized marketing campaigns and offer relevant deals. Further, they have been equipped with information to schedule their deals and offers as per the data drawn by the application.<\/p>\n It is further predicted that government organizations across the globe will leverage Big Data to radically reduce government expenditure. High profile statisticians and officials will be replaced with Data Scientists to derive the required numbers.<\/p>\n After the super successful and intense Climate Change talks in Paris, there is going to be a whole lot of difference in the way Climate Change is perceived. It will not be alleged as a matter of threat, but an enabler for Market Capitalization purely on the basis of Big Data technologies. For instance, Big Data will analyze climate change views and expert comments across Social Media and Internet, which will help determine the impact rather than just depend on the conventional Meteorological reports.<\/p>\n Big Data implementations have brought remarkable results for enterprises who knew and kept their conviction towards the business objectives. However, it can be a major disappointment for organizations that miss out on the underlying purpose of Big Data implementation.<\/p>\n If the data is managed methodologically, it can empower an organization to make informed choices while venturing in the market place. <\/strong><\/p>\n What does Big Data Testing Entail?<\/strong><\/span><\/p>\n Big Data testing involves authenticating various data processes and not just the features. Performance and Functional testing work effectively for Big Data applications. While testing their applications, QA engineers process three types of data \u2013 Batch, Real time, and Interaction.<\/p>\n