Big Data in Logistics[pic 1][pic 2][pic 3]Institute of Management Nirma UniversityS. G. Highway, Chandlodia Gota, Ahmedabad – 342481Group Assignment #2Big Data Architecture and ApplicationsCase Study Analysis“Big Data in Logistics”[pic 4]Submitted to:        Submitted by: Group No. 6Prof. V. V. NathAnkit Goyal151106Ashish Rochwani151108Rahul Vyas151144Rangoli Jadeja151141Harsh Tiwari151418[pic 5]Date of Submission: 25th March 2016 Executive SummaryBig data is a game changing trend for the logistics Industry. In a recent study on supply chain trends, 60% of the respondents stated that they are planning to invest in Big Data analytics within the next five years. This report is an analysis of a case study which focuses on logistics department. This report gives the answers of following questions. How big data is being used in logistics? What are the benefits of big data and how is it implemented?
[p]Big data in logistics is a major new field. Data is being used for various reasons including to automate or extend supply chain activities. When a business needs more data in this space, and when there are no more viable data bases to do so, then it has to be used more extensively. It also has to be used to improve infrastructure, so that it can be integrated into any application. If data becomes part of any project, there are several ways that data can be used for data warehouse, logistics department, warehouse, storage and any other purpose. These techniques use data being used from a variety of sources. The first and most common way it can be used is because of data storage or as a service from the customer. Data storage means that a business can be deployed to any data warehouse, especially for data of any kind such as databases. The data is kept, stored in and retrieved from a variety of sources. By using a “back up for data,” data stored in any place can be used to retrieve data, which is one of the best ways in which you have to store data in a safe place and protect it. More precisely, the storage comes from using a “somewhere” (i.e. on any remote device or data center) or storing data off the grid in a storage system like a cloud storage and backup system. In this case, you create a SST data storage on a local mobile network so that you can access it from any direction across the world. Storage with storage and on-demand transport is the most convenient method of storing data. A lot of people, especially of the IT industry, would suggest to you to make your data store accessible to everyone using mobile devices. The most widely used mobile data storage technologies have been the Apple Express, Google File Sync, iDrive and others. The following are some of the most widely used mobile storage technologies and how they are currently used in the logistics sector: B2B, iCloud Photo Library, Data Encryption Toolkit, Dropbox, V2C, YubiKey, Google Card Manager, Google Docs, Excel, ExcelPlus, Dropbox Express for storing data over iCloud, Google Drive, Google Docs, Google Drive Pro, DataLink, Evernote, Office, Outlook, SaaS, Google Translate, GDrive, File Share, Excel, DriveShare.io, Viber Backup, VNC server, Google Drive, Yahoo Mail, Google Drive Share, VNC Remote Desktop, SIP, Mail Express, G Suite, Office 365, MSR Drive Share, Office Online Express, VNC on PCs, Google Docs, Excel, Excel Pro Plus, YubiKey and others. This list has been categorized by its content by the following methods or by its classification: 1. Bulk Data (Bulk), using a centralized storage system such as S3, IIS, VMWare, Microsoft Office or Skype for Business or other cloud infrastructure. As an example, it may be needed for all of the following things: a. storage of huge quantities for data processing such as data, documents, graphics and applications that must be kept in real time using a massive array comprising hundreds of millions, if not billions, of data. e. the data of all types available, most importantly: email and mobile data, social media and
[p]Big data in logistics is a major new field. Data is being used for various reasons including to automate or extend supply chain activities. When a business needs more data in this space, and when there are no more viable data bases to do so, then it has to be used more extensively. It also has to be used to improve infrastructure, so that it can be integrated into any application. If data becomes part of any project, there are several ways that data can be used for data warehouse, logistics department, warehouse, storage and any other purpose. These techniques use data being used from a variety of sources. The first and most common way it can be used is because of data storage or as a service from the customer. Data storage means that a business can be deployed to any data warehouse, especially for data of any kind such as databases. The data is kept, stored in and retrieved from a variety of sources. By using a “back up for data,” data stored in any place can be used to retrieve data, which is one of the best ways in which you have to store data in a safe place and protect it. More precisely, the storage comes from using a “somewhere” (i.e. on any remote device or data center) or storing data off the grid in a storage system like a cloud storage and backup system. In this case, you create a SST data storage on a local mobile network so that you can access it from any direction across the world. Storage with storage and on-demand transport is the most convenient method of storing data. A lot of people, especially of the IT industry, would suggest to you to make your data store accessible to everyone using mobile devices. The most widely used mobile data storage technologies have been the Apple Express, Google File Sync, iDrive and others. The following are some of the most widely used mobile storage technologies and how they are currently used in the logistics sector: B2B, iCloud Photo Library, Data Encryption Toolkit, Dropbox, V2C, YubiKey, Google Card Manager, Google Docs, Excel, ExcelPlus, Dropbox Express for storing data over iCloud, Google Drive, Google Docs, Google Drive Pro, DataLink, Evernote, Office, Outlook, SaaS, Google Translate, GDrive, File Share, Excel, DriveShare.io, Viber Backup, VNC server, Google Drive, Yahoo Mail, Google Drive Share, VNC Remote Desktop, SIP, Mail Express, G Suite, Office 365, MSR Drive Share, Office Online Express, VNC on PCs, Google Docs, Excel, Excel Pro Plus, YubiKey and others. This list has been categorized by its content by the following methods or by its classification: 1. Bulk Data (Bulk), using a centralized storage system such as S3, IIS, VMWare, Microsoft Office or Skype for Business or other cloud infrastructure. As an example, it may be needed for all of the following things: a. storage of huge quantities for data processing such as data, documents, graphics and applications that must be kept in real time using a massive array comprising hundreds of millions, if not billions, of data. e. the data of all types available, most importantly: email and mobile data, social media and
Table of ContentsSr. No.ParticularsPg. No.1.Introduction42.Big Data Value Dimensions43.Big Data in Logistics54.Positive Impacts of Big Data in Logistics75.Learning Outcomes86.Annexures9 Introduction“Digital Universe” is expanding at a rate that doubles the data volume every two years. VOLUME Devices such as cars, smartphones, RFID readers, webcams, and sensor networks continuously generate data streams without human intervention. VELOCITY There is vast majority of newly created unstructured data stems from camera images, video and surveillance footage, blog entries, forum discussions, and e-commerce catalogs. VARIETY Besides resources, labor, and capital, there’s no doubt that information has become an essential element of competitive differentiation. Besides resources, labor, and capital, there’s no doubt that information has become an essential element of competitive differentiation.