INTRODUCTION TO BIG DATA ANALYSIS

  • Type: Project
  • Department: Software Systems Engineering
  • Project ID: SSE0015
  • Access Fee: ₦3,000 ($9)
  • Pages: 12 Pages
  • Format: Microsoft Word
  • Views: 79
  • Report This work

For more Info, call us on
+234 8130 686 500
or
+234 8093 423 853

INTRODUCTION

Big data is a word used for detailed information of massive amounts of data which are either structured, semi structured or unstructured. The data which is not able to be handled by the traditional databases and software Technologies then we divide such data as big data. The term big data is originated from the web companies who used to handle loosely structured (numerical form, figures, and transaction data etc.) or unstructured data (Email attachments, Images comments on social networking sites).

It gives a broad overview of some of the most commonly used techniques and technologies to help the reader to better understand the tools based on big data analytics. There are many analytic techniques that could be employed when considering a big data project. Which ones are used that depends on the type of data being analyzed, the technology available to you, and the research questions you are trying to solve.

The term has been in use since the 1990s, with some giving credit to John Mashey for popularizing the term  Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capturecurate, manage, and process data within a tolerable elapsed time. Big data philosophy encompasses unstructured, semi-structured and structured data, however the main focus is on unstructured data. Big data "size" is a constantly moving target, as of 2012 ranging from a few dozen Terabytes to many Exabytes of data. Big data requires a set of techniques and technologies with new forms of integration to reveal insights from datasets that are diverse, complex, and of a massive scale.

Similarly, Kaplan and Haenlein define big data as "data sets characterized by huge amounts (volume) of frequently updated data (velocity) in various formats, such as numeric, textual, or images/videos (variety). Additionally, a new V, veracity, is added by some organizations to describe it, revisionism challenged by some industry authorities. The three Vs (volume, variety and velocity) have been further expanded to other complementary characteristics of big data.

The term “big data” wasn’t coined until 2010 approximately when they realized the power, need and importance of this information. Given the scope of information, the term “big data” come into the picture.

Big data and Cloud computing both the technologies are valuable on its own. Furthermore, many businesses are targeting to combine the two techniques to reap more business benefits. Both the technologies aim to enhance the revenue of the company while reducing the investment cost. While Cloud manages the local software, Big data helps in business decisions.

INTRODUCTION TO BIG DATA ANALYSIS
For more Info, call us on
+234 8130 686 500
or
+234 8093 423 853

Share This
  • Type: Project
  • Department: Software Systems Engineering
  • Project ID: SSE0015
  • Access Fee: ₦3,000 ($9)
  • Pages: 12 Pages
  • Format: Microsoft Word
  • Views: 79
Payment Instruction
Bank payment for Nigerians, Make a payment of ₦ 3,000 to

Bank GTBANK
gtbank
Account Name Obiaks Business Venture
Account Number 0211074565

Bitcoin: Make a payment of 0.0003 to

Bitcoin(Btc)

btc wallet
Copy to clipboard Copy text

500
Leave a comment...

    Details

    Type Project
    Department Software Systems Engineering
    Project ID SSE0015
    Fee ₦3,000 ($9)
    No of Pages 12 Pages
    Format Microsoft Word

    Related Works

    TABLE OF CONTENT CHAPTER ONE 1.0 BACKGROUND OF STUDY 1.1 STATEMENT OF PROBLEM 1.2 PURPOSE OF STUDY 1.3 SIGNIFICANCE OF STUDY 1.4 SCOPE AND LIMITATIONS OF THE STUDY 1.5 DEFINATIONS OF TERMS CHAPTER TWO 2.0 LITERATURE REVIEW 2.1 HISTORICAL BACKGROUND OF PARTNERSHIPACCOUNTING 2.2 DEFINITIONS OF... Continue Reading
    [A CASE STUDY OF OSUN STATE POLYTECHNIC, IREE.] Abstract Data mining has a great deal of attention in the information industry in recent year due to the wide availability of high amount of data and the useful information and knowledge. This project is based on the Application of Data... Continue Reading
    ABSTRACT The report summarizes that in this Information Technology age, the needs of law enforcement are changing. Some traditional crimes, especially those concerning finance and commerce, continue to be upgraded technologically. Paper trails have become electronic trails. Crimes associated with the theft and manipulations of data are detected... Continue Reading
    ANALYSIS OF DATA MINING TECHNIQUES OF  TELECOMMUNICATION COMPANIES IN NIGERIA: A CASE  STUDY OF MTN NIGERIA CHAPTER ONE INTRODUCTION 1.1   BACKGROUND TO THE STUDY The telecommunications industry generates and stores a tremendous amount of data (Han et al, 2002). These data include call detail data, which describes the calls that traverse the... Continue Reading
    ABSTRACT This research work is concerned with the analysis of laboratory test results and its scientific importance. The study revealed that by analyzing the laboratory test results, the mortality rate can be reduced. From statistical observations obtained from World Health Organization, report, millions of people die from diseases like the... Continue Reading
    ABSTRACT This project work intends to provide architecture for the technology in building of a standard, sophisticated and user-friendly data warehouse system which is platform independent and secured. The proposed work surely addressed the limitations identified within the scope of this project... Continue Reading
                                                                              ABSTRACT   Qualitative Petrophysical Analysis of Wabi 10 well, located in the Wabi Oil Field in the Niger Delta was carried out. The wire-line log comprising of gamma rays, resistivity and neutron – density logs provided by Total... Continue Reading
    ABSTRACT   This research was carried out based on how to reduce fraud activities in mobile telecommunication companies. Focusing on subscribers use of internet and mobile telecommunications, which is the main concern of this research, telecommunication fraud occurs whenever a perpetrator uses deception to receive telephony services free of charge... Continue Reading
                                                                              ABSTRACT   Qualitative Petrophysical Analysis of Wabi 10 well, located in the Wabi Oil Field in the Niger Delta was carried out. The wire-line log comprising of gamma rays, resistivity and neutron – density logs provided by Total... Continue Reading
    ABSTRACT  An integrated 3-D seismic data, checkshot data and a suite of four well log located at the Lona field, Niger Delta were analysed with Petrel software for reservoir characterization and volumetric analysis of the field. The method adopted involves petrophysical analysis, structural analysis, volumetric analysis and reservoir... Continue Reading
    Call Us
    Get this work
    whatsappWhatsApp Us