Data Analytics Essay

process data, enables distributed parallel processing of huge amounts of data across inexpensive, industry-standard servers that both store and process the data, and can scale without limits. With no data is too big. And in today’s hyper-connected world where more and more data is being created every day, breakthrough advantages mean that businesses and organizations can now find value in data that was recently considered useless. Big Data concern large-volume, complex, growing data sets with

an information system based on data mining techniques to build upon existing customer relationships and increase profit. Part & Parcel Computers has been at the forefront of the computer parts industry for the past fifteen years. They have developed a reputation for the cheapest computer parts by focussing on a cost-leadership strategy. P&P computers have a loyalty card programme that provides discounts and benefits to its customers but has not used this collected data to specifically identify and

©2015, IJCSMA All Rights Reserved, www.ijcsma.com 33 Big Data- The Vast Growing Technology with its Challenges and Solutions Sonali A. Tinkhede Student of Master of Engineering in (CS & IT) HVPM‘s college of Engineering and Technology Amravati, India sonali.tinkhede@gmail.com Dr. S. P. Deshpande Associate Professor and Co-ordinator (CSE) HVPM‘s College of Engineering and Technology Amravati, India Shrinivasdeshpande68@gmail.com Abstract- Big Data is the extremely large datasets that their sizes are beyond

something in terms of its importance. In terms of Big Data, it is often extremely difficult to establish and estimate the value of data itself. It is any form of application and use of data that has the potential to better decision making, increase revenue and profits of a business, identify better revenue opportunities, save and reduce costs, improve quality and customer satisfaction, fraud analytics or even drive for better outcomes and solutions. Big Data has several benefits and advantages that give

Maximum subscribers consume 1 GB data followed by 2 GB data per month. The combined strength of these two categories of data consumption per month is 55%, one reason for this the free or cheaper availability of wireless networks. This is also in line with the monthly data plan subscription by subscribers. 40% of the subscribers have subscribed to 1 GB and 30% of the subscribers has subscribed to 2 GB monthly data plan. Users give preference to use wireless networks which are available at high speed

Design: The study will be done through qualitative line of inquiry. Qualitative data provides a prosperous, thorough picture to be built up about why people act in certain ways, and their feelings about these actions, which provides the researcher with a clear understanding of the data. Qualitative data is also useful for studying limited data in-depth; for the purpose of this study to be accomplished, the data needs to be studied in-depth. Thematizing meanings is one of few shared generic skills

The market has an increasing need for professionals with data management knowledge, analytical capability and problem-solving skills. I, Bhaskar Nayak am an Engineer in Information Science from Sapthagiri College of Engineering, a reputed institution under Visvesvaraya Technological University. I am applying for the admission to Master’s program in Business Intelligence and Analytics. The goal to pursue a career in the field of business has always been part of my plans since my early teen years.

BIG DATA :MEANING, CHALLENGES, OPPORTUNITIES,APPLICATIONS,TOOLS Big data is certainly one of the biggest buzz phrases in it today. The term ’Big Data’ appeared for first time in 1998 in a Silicon Graphics (SGI) slide deck by John Mashey with the title of ”Big Data and the Next Wave of InfraStress” [9]. -Combined with virtualization and cloud computing, big data is a technological capability that will force data centers to significantly transform and evolve within the next five years. Similar to virtualization

have been solving data problems for years. Example, when faced with the large data problem statisticians had a simple and proven technique to solve the problem by sampling the records. This is a sound methodology as the statisticians could prove statistically that a representative or random sample could speak for the whole population. The only problem was that when stakeholders wanted to drill down into the details they inevitably had to query the whole file. The reality is that data scientists run

Prescriptive Analysis – Moving beyond Predictive Analysis Big Data is becoming more meaningful with the ever more powerful data technologies, which enable us to derive insights from the data and help us make decisions. Big Data also creates new courses and professional fields such as the data science and data scientist, which are aimed at analyzing the ever growing volume of data. Some might think this exaggerated because data analysis, after all, not a new invention. However, we might all agree