Big Data Has Taken The Business World By Storm

Since the 1970’s databases and report generators have been used to aid business decisions. In the 1990’s technology in this area improved. Now technology such as Hadoop has gone another step with the ability to store and process the data within the same system which sparked new buzz about “big data”. Big Data is roughly the collection of large amounts of data – sourced internally or externally - applied as a tool – stored, managed, and analyzed - for an organization to set or meet certain goals.

They have not limited themselves to online books and retail, they have media, cloud, service etc. “The company that started out as an online book seller has gained credibly as a producer of TV programs and movies. Amazon web services, provides data servers to big companies, this is

In the other operating segment, Amazon competes with several of the world's largest companies including CDW, PC Connection, Insight Enterprises, Google, Oracle; salesforce.com, Accenture and Citrix Systems, among others.

Amazon.com is ranked number one out of the 'Top 25 U.S. E-commerce Retailers (ranked by annual sales) ' as of 2016 (Zaczkiewicz, p 1). Amazon ranks above many other e-commerce retailers, such as Wal-Mart, Apple, Staples, and Macy 's. The business model, customer value propositions, revenue model, marketspace, main competitors, comparative advantages, market strategy, management team, and organizational structure has helped Amazon to stay in business since 1996.

Amazon already hosts more than 100 government organizations including Recovery.gov, the Department of Treasury's Treasury.gov, the Federal Register 2.0 at the National Archives, the Supplemental Nutrition Assistance Program at USDA and the Jet Propulsion Laboratory at NASA, all of which use AWS to scale their computing needs by using Cloud computing.

Even though Amazon has been more successful in providing better web services Google has got a strong hold on Big Data that is

First, Amazon is a pioneer and market leader in area of infrastructure-as-a-Service. Amazon suite of products in cloud computing space is called Amazon web services. This company offers 3S (Simple Storage Service), SimpleDB (Non-relationship database) and EC2 (Computing servers). In other words, Amazon provides a board set of compute, database, data storage, data transfer, analytics, applications and deployment services with faster process, lower IT costs and scale applications. However, all products provided by Amazon are charged.

AMAZON AUTO-SCALING: Amazon Web Services gives a mechanism named as Auto-Scaling with a part of EC2 service. The reactive approach is used by AAS. Auto-Scaling Group decided to add/delete a number of VM's. Amazon also offers EMR ( Elastic MapReduce) which provides fully managed hosted Hadoop framework over EC2.

Microsoft Azure and Amazon Web Services (AWS) are both computing titans with the resources to make their cloud services as long lasting and sociable as they want. Both are providing solutions to meet the needs of organizations of virtually any size. That’s making it difficult to differentiate between MS Azure vs AWS. But the question is: “which of the two is better for my business?" the answer may be a little more complicated.

There are quite a few fruitful features of AWS that have caused it to reach the place it is in today. The main reason being the various features it provides, which are discussed here:

Unless you work in technology or corporate logistics, you might not have known that Amazon was ahead of Google in the cloud business. Most consumers will have encountered the cloud in the form of services where Google is strong—email (Gmail), document storage (Google Drive), and the like. But Amazon Web Services has for years been the front-runner in the business of renting computer power to companies.

IBM, Dell and HP lead the list of Big Data companies with the most revenue from big data hardware, software, and IT services. They all produce and develop their own servers which involve in big data hardware and software. They expect their servers to provide the highest speed when processing data. But there are still 3 missions they need to take consideration——enhancing security，increasing performance and improving usability.

They cited reports by well-respected research groups. Gartner compared 15 different cloud providers against eight critical capabilities in four use cases. Amazon, Microsoft and Google scored in the top 3 for two critical capabilities for Fintech: batch computing and cloud-native applications. Forrester indicates Amazon and Microsoft are Leaders in the public cloud platform category, while Google is a Strong Performer.

In recent years, there has been an increasing emphasis on big data, business analytics, and “smart” living and work environments. Though these conversations are predominantly practice driven, organizations are exploring how large-volume data can usefully be deployed to create and capture value for individuals, businesses, communities, and governments (McKinsey Global Institute, 2011). Big data refers to data volumes in the range of exabytes (1018) and beyond. Such volumes exceed the capacity of current on-line storage systems and processing systems. Data, information, and knowledge are being created and collected at a rate that is rapidly approaching the exabyte/year range. But, its creation and aggregation are accelerating and will

Abstract— Big data is a very important subject in modern times with the rapid advancement of new technologies for example smartphones, pc/laptops, game consoles, that all in some way gather information that is stored. Big companies are needing a place to not only store all the data that is coming in but to also analyze it for specific purposes and at the fastest speed manageable. There are many different providers out there who provide this service, this paper will talk about one way the company Google handles data using their own special made platform.