How Big Data Impact On Enterprise Data Governance And Security

One of the main functions of any business is to be able to use data to leverage a strategic competitive advantage. The use of relational databases is a necessity for contemporary organizations; however, data warehousing has become a strategic priority due to the enormous amounts of data that must be analyzed along with the varying sources from which data comes. Company gathers data by using Web analytics and operational systems, we must design a solution overview that incorporates data warehousing. The executive team needs to be clear about what data warehousing can provide the company.

Over the past few years technology has caused significant changes in the way enterprises conduct business.

A data warehousing is defined as a collection of data designed to support management decision making. Data warehouses contains a wide variety of data that present a coherent picture of the business conditions at a single point in time. Development of a data warehouse includes development of the systems that extract data from operating systems plus the installation of the warehouse database system that provides managers flexible access to the data. The term data warehousing generally refer to the combination of many different databases across an entire enterprise. (webopidia)

IT technologies are evolving at a very high rate, driving changes and shaking other industries at every turn; what we know as IT today, in 5 years will look very different. Let’s take a look at the biggest challenges for the upcoming years:

In the future, advances technology will change everyday life and businesses beyond recognition. Looking ahead to the next 5 or 10 years, there’s no question technology will continue to dramatically alter our basic understanding of how to conduct businesses, our daily life

Big data is buzzword in every field of business as well as research. Organizations have found its application across various sectors from Sports to Security, from Healthcare to e-Commerce.

The big data phenomenon is about collecting and storing large amounts of data and running analytics application ns on these large datasets.

What does it mean to say “big data”? Big Data is more than just massive amounts of data stored together. It is more than just data delivered or analyzed fast. Meta Group’s Doug Laney described it as data that has volume, velocity, and variety (2001). This is the 3 V’s of Big Data and is widely used to define it. Additions to this definition include other V’s, such as veracity and value (XXX). What is volume? Volume could be 7 billion people speaking at once. It can be the data created by millions of Americans uploading photos, buying shoes online, or searching for the definition of Big Data. It is the volume of data being created by researchers at unprecedented amounts to chart the stars, to map the human genome, or to trend

Big data is anything which is too large for traditional databases to handle. They range from Terabytes of data to petabytes of data. Big data is generated from various sources, such as social media networks, oil wells, mobile phone conversations, weather data etc.

CHANGE is the only constant in the relationship between information systems and organizations. As technology evolves and changes, its introduction into organizations requires changes in the firm 's infrastructure and the services it can provide to its employees, customers, and suppliers.

What is big data? Big data is structured and unstructured data that is difficult to process using traditional database and software techniques. This is because of its extensive size. Big data ranges “from a few dozen terabytes to many petabytes of data in a single data set – and are constantly growing” (Hopp). A terabyte is equal to 1,024 gigabytes, while a petabyte is equal to 1,024 terabytes. A regular iPhone has 16 gigabytes, so a terabyte contains the same amount of digital storage as 64 iPhones, while a petabyte contains the same amount of digital storage as 65,536 iPhones! Structured data is in a fixed field within a record or file (usually databases or spreadsheets). Unstructured data is unorganized and hard to interpret by traditional databases or data models (like photos, webpages and emails). Structured data is a lot easier to work with and can be easily classified, so it is preferred in big data over unstructured data.

Big Data is a term for very large amounts of formal and informal information that can be analyzed to find trends and patterns. The information can be about anything, but it needs to be processed in a way that will give it value and relevance. It can come in multiple formats and from different sources such as large databases, electronic records, social media, mobile phones, apps, wearable devices such as pedometers, and others. Different data sets are combined and contrasted in different ways to give perspectives and insights about a topic. It can be used in a seemly endless number of ways and people are discovering new ways to use it all the time, some of them entertaining. The largest areas of use include those relating to consumer behavior and choices, business procedures, healthcare, science and research, and law enforcement. People are also discovering its use in their personal lives as well for things like buying a home, dating, fitness routines and travel.

Innovation has become a crucial factor to allow corporations to provide various products and services in reacting to a competitive, rapidly changing environment. Over the past decades, the developments and improvements in Information Technology (IT) have had a profound impact on the global landscape as well as the regular corporate working environment. With the help of advanced Information Technology, businesses are able to process and operate its daily works more accurate and easier. It is much safer and easier to store data and information in the database than the traditional approach (Valacich & Schneider, 2016, p. 214). IT has been changing the way how business is done. It changes the basis of business from the labor and manual skills to the knowledge management. The jobs required by information technology, as well as the technology itself, are changing the social system of the organizations. Organizations are unable to adapt the pace of technology change will suffer more in the business world than they used to be.

We define “big data” as a capability that allows companies to extract value from large volumes of data. Big data is unstructured data and for every kind, data is important so no policy as policy as it won’t filter any data.

An eternal ... .. During the last thirty years, IT management has undergone changes considerable. Technological advances in the processing of information had important consequences on the role of computers. If the first applications have helped automate operational activities organizations (production management, business and financial management, human resources) now the information systems support the increasingly management levels strategic. Technological innovations have changed the IT