Big Data has gained massive importance in IT and Business today. A report recently published state

The emergence of big data has provided different avenues for organizations to use data to improve different aspects of their respective operations. Be it customer service, research and development, or market position, Big Data has the potential to be a significant driving force in all these areas. However, there’s still a significant gap between the ability of Big Data to produce insightful analytical information based on real-time data and the ability of organizations to capture and utilize this readily available tool. This is, in part, due to the fact that the systems and processes necessary to fully maximize the usefulness of Big Data is currently lacking in most organizations. This lack of a conducive habitat for Big Data is further magnified in new organizations without any knowledge of Big Data. For organizations that have that have little to no knowledge of Big Data, there must be a thorough assessment of the benefits of big data and how they could improve the organizations overall place in the market. There also needs to be steps taken towards the design of frameworks that will enable the organization to better capture and utilize Big Data.

We believe that BDA will play a huge role in US economy for many years to come. However, Data analysis can be tough without proper direction. If properly directed, Big Data impact can not only be seen through scientific advances, but it can lay the ground work for next generations to come for growth in the fields of business, science, and medicine.

Big Data can analyze a customer’s purchases, profile information, and make an accurate prediction on what his/her interests will be. Big Data has the potential to be the phenomenal tool of the future. It can accurately predict what a customer wants and show advertisements that he or she is actually interested in; It can be installed in smart cars, where an automatic distress call is sent when an unlucky individual is in a car accident; It can be uploaded to devices that closely monitor people’s health and report any irregularities to their doctor.4

the ‘big Data era’ has arrived — multi-petabyte data warehouses, social media interactions, real-time sensory data feeds, geospatial information and other new data sources are presenting organisations with a range of challenges, but also significant opportunities. IDC believes that as CIOs start to adopt the new class of technologies required to process, discover and analyse these massive data sets that cannot be dealt with using traditional databases

Big data is a process in which transforming audits is conducted. Along with this, some major challenges are also adopted in order to maintain the standards as well as to give training in the required processes and systems. It is also said and impossible to further corroborate that around 75% of the world’s data has been initiated as well as created in the past two to three years. The actual and well organized proliferation of the entire data has changed our lives, and the way we act as consumers too. Therefore it is correct to mention that this era of big data helps in reshaping the operations of the businesses and it helps in giving them greater insights as compare to the early days. Therefore this is one of the

Today ‘Big data’ is more popular than before, the performance of a database is becoming extremely important, including family life, school studying, office work and all business. Providing reliable and faster database services is the goal of organizations including any business, schools, and

Lately with the development of distributed computing, issues services that utilizes web and require enormous amount of data come to forefront. For Organizations like Facebook and Google the web has developed has a vast, distributed data repository for which handling by conventional DBMS is not sufficient. Rather than extending on the hardware capabilities, a more realistic approach has been accepted. Technically, it is an instance of scaling through dynamic adding servers from the reasons increasing either information volume in the repository or the number of users of this repository. In this scenario, the big data problem is frequently examined and in addition explained on a technological level of web databases.

Big data is an extensive collection of structured and unstructured data. It is a modern day technology which is applied to store, manage and analyze data that are not possible to manage, store and analyze by using the commonly used software or tools. Since all of our daily tasks are overtaken by the modern technologies and all the businesses and organizations are using internet system to operate, the production of data has increased significantly in past

Big Data is changing the way business decisions are made. It is no longer a passing fad and if companies are not extracting insights from the data collected, they will be left behind by their competition.

Understanding and applying the use of big data and data analysis creates advantages for businesses. As such, this paper discusses big data and analysis regarding differences between big data and small data, characterization according to 3 Vs, big data applications, data analysis, types of data structures, obtaining sources, tools and processes used for analysis, and advantages of data analysis.

As the volume of data has exploded, we have invented a new storage medium. Moreover, data is being created by everyone and everything Due to the introduction of the various social media websites which allows users to upload the data in any format. The volume of the data has increased to the level which is hard to manage. Even with the introduction of the new disk technologies, the limitation to store data in the single disk can be maximum to few terabytes; so to process the petabytes or exabytes of the data, large amount of the disks and processor are required to work in parallel.

Inefficient and limited workload management features and lack of choice in system configurations are the biggest reasons a company fails to obtain. With no workload management enabled, there is always a situation of server and network congestion resulting in loss of time. This is a very big drawback and loss to any company wherein activities and jobs are run round the clock against a data warehouse system. Netezza, unlike other conventional data warehouses provides 10-100 times faster query response by providing 5 level workload management, which includes the gate keeper, the guaranteed resource allocation, the snippet scheduler, scheduling rules and the resource allocation scheduler. In addition, there are other features and configurations – priority query execution, and short query bias, which PureData system provides to enhance the workload management much more effectively.

Data is the raw materials of any information system. With the revolution of Information Technology we are improving our decision making process more quick and smart. Data warehouse technology is the process of collection, sorting, structural formation, analysis, storing and presentation of data. So we say that data warehouse is the technology is overall data management system in the organization.

When Big Data meets Computer Networks , designing and managing the IT infrastructure become a non-trivial and a challenging task .

The past thirty years have seen increasingly rapid advances in the field of Database. Moreover the amount of data being stored in electronic format has been increased dramatically. This increased gives rise to increase accumulation of data at a very quick rate. In addition, the volume of information in the world has been projected to doubles every two years. For example, the health care database system or financial database system is worth instances for the types of data that are being collected and increased dramatically. In fact we are living in a world where vast amounts of data are collected daily and we cannot stop our live to interact with data because we are actually living in an age of the data. There are Terabytes or