ABSTRACT - BINUS Alumni
TOPIK-TOPIK LANJUTAN SISTEM INFORMASITOPIC 10: CLOUD COMPUTING AND BIG DATAKelvina Wibowo1501143323Ignatius Albert1501144566Albertus Andika1501152050Schwanova Lucki1501161811Felix 1501167866Class / Group: 06 PLM / 04Universitas Bina NusantaraJakarta2014ABSTRACTBig data is becoming one of the most important technology trends that has the potential for dramatically changing the way organizations use information to enhance the customer experience and transform their business models. How does a company go about using data to the best advantage? What does it mean to transform massive amounts of data into knowledge? Big data is not an isolated solution, however. Implementing a big data solution requires that the infrastructure be in place to support the scalability, distribution, and management of that data. Therefore, it is important to put both a business and technical strategy in place to make use of this important technology trend by also understanding about cloud computing. What is cloud computing? Cloud computing is a model for enabling, convenient, on-demand network access to a shared pool of configurable computing resources (eg. networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. The purpose of writing is to understand about why we should, how to implement, and what is the big data and cloud computing, along with how is the condition of big data and cloud computing in practical way, and why should we utilize cloud computing and big data. Analysis methodology used in the writing of this paper is data collection methods. Data collection method is done by literature study from several journals and website to support the purpose of writing this paper. The result achieved is to know about why we should, how to implement, and what is the big data and cloud computing, along with how is the condition of big data and cloud computing in practical way, and why should we utilize cloud computing and big data. Conclusion of this study is cloud computing enable rapid scalability with lesser cost and big data, if utilzed in the right way can provide tremendous results for the company.Keyword Information, communication, technology, prospect, career, professional, banking.Table of Contents TOC \o "1-3" \h \z \u ABSTRACT PAGEREF _Toc389307845 \h 1CHAPTER 1 PAGEREF _Toc389307846 \h 1Introduction PAGEREF _Toc389307847 \h 11.1Background PAGEREF _Toc389307848 \h 11.2Scope PAGEREF _Toc389307849 \h 11.3Purpose and Benefits PAGEREF _Toc389307850 \h 21.3.1Purpose PAGEREF _Toc389307851 \h 21.3.2Benefits PAGEREF _Toc389307852 \h 21.4Methodology PAGEREF _Toc389307853 \h 21.5Systematic of Writing PAGEREF _Toc389307854 \h 2CHAPTER 2 PAGEREF _Toc389307855 \h 4Literature Review PAGEREF _Toc389307856 \h 42.1 Theory / General PAGEREF _Toc389307857 \h 42.1.1 Definition of Big Data PAGEREF _Toc389307858 \h 42.1.2 Definition of Cloud Computing PAGEREF _Toc389307859 \h 52.2 Benefits of Big Data PAGEREF _Toc389307860 \h 102.2.1 For Individual PAGEREF _Toc389307861 \h 102.2.2 For Community PAGEREF _Toc389307862 \h 112.2.3 For Organizations PAGEREF _Toc389307863 \h 11CHAPTER 3 PAGEREF _Toc389307864 \h 13Discussion PAGEREF _Toc389307865 \h 133.1 Sample of Cloud Computing Services PAGEREF _Toc389307866 \h 133.2 Cloud computing provider in Indonesia PAGEREF _Toc389307867 \h 133.3 Fee structure the provider offer to use cloud computing PAGEREF _Toc389307868 \h 143.4 What type of data will be the source of Big data PAGEREF _Toc389307869 \h 153.5 Structured data, unstructured data and semi structure data, give the example of each type PAGEREF _Toc389307870 \h 173.6 How to use big data to give the benefit for company PAGEREF _Toc389307871 \h 173.7 What is the reason not much company in Indonesia use cloud computing? PAGEREF _Toc389307872 \h 183.8 How we can calculate the value of investment of Big Data PAGEREF _Toc389307873 \h 18CHAPTER 4 PAGEREF _Toc389307874 \h 19Conclusion PAGEREF _Toc389307875 \h 194.1 Conclusion PAGEREF _Toc389307876 \h 194.2 Suggestion PAGEREF _Toc389307877 \h 20References PAGEREF _Toc389307878 \h 21CURRICULUM VITAE PAGEREF _Toc389307879 \h 22CHAPTER 1IntroductionBackgroundBig data is not a single market. Rather, it is a combination of data-management technologies that have evolved over time. Big data enables organizations to store, manage, and manipulate vast amounts of data at the right speed and at the right time to gain the right insights. The key to understanding big data is that data has to be managed so that it can meet the business requirement a given solution is designed to support. Most companies are at an early stage with their big data journey. Many companies are experimenting with techniques that allow them to collect massive amounts of data to determine whether hidden patterns exist within that data that might be an early indication of an important change. Some data may indicate that customer buying patterns are changing or that new elements are in the business that need to be addressed before it is too late. As companies begin to evaluate new types of big data solutions, many new opportunities will unfold. For example, manufacturing companies may be able to monitor data coming from machine sensors to determine how processes need to be modified before a catastrophic event happens. It will be possible for retailers to monitor data in real time to upsell customers related products as they are executing a transaction. Big data solutions can be used in healthcare to determine the cause of an illness and provide a physician with guidance on treatment options. Therefore, it is important to put both a business and technical strategy in place to make use of this important technology trend by also understanding about cloud computing. What is cloud computing? Cloud computing is a model for enabling, convenient, on-demand network access to a shared pool of configurable computing resources (eg. networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.ScopeThis paper about big data and cloud computing is limited by the scope of the data gathering from web on big data and cloud computing, especially in practical way.Purpose and BenefitsPurposeto understand about why we should, how to implement, and what is the big data and cloud computing, along with how is the condition of big data and cloud computing in practical way, and why should we utilize cloud computing and big data.BenefitsThe benefit that could be attained will listed in below:For The WriterHave an information about big data and cloud computing.We could understand more about the advantages and disadvantages of using big data nad cloud computing.MethodologyThe method that is being used in this paper is data collection methods. Data collection method is done by literature study from several journals and website to support the purpose of writing this paper.Systematic of WritingChapter 1: IntroductionIn this chapter explains about background of establishing this paper, scope, purpose and benefits, methodology and systematic of writing as well.Chapter 2: Literature ReviewIn this chapter explains about all the theories that is going to be used and as a framework within the writing and arranging in this paper.Chapter 3: DiscussionIn this chapter describes about Electronic Customer Relationship Management. We will discuss about the definition, advantages and disadvantages of Electronic Customer Relationship Management.Chapter 4: Conclusion and SuggestionIn this chapter consists of essays about the conclusion that has been done by completing research and suggestions that we found during the research.CHAPTER 2Literature Review2.1 Theory / GeneralInformation technology, or IT, describes any technology that powers or enables the storage, processing and information flow within an organization. Anything involved with computers, software, networks, intranets, Web sites, servers, databases and telecommunications falls under the IT umbrella.2.1.1 Definition of Big DataAccording to CITATION Gar14 \l 1033 (Gartner, 2014) big data is high volume, high velocity, and/or high variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization.2.1.1.1 Definition of VarietyAccording to CITATION Mer144 \l 1033 (Merriam Webster, 2014), Variety is?noun?\v?-?rī-?-tē\: a number or collection of different things or people: the quality or state of having or including many different things: a particular kind of person or thing2.1.1.2 Definition of VolumeAccording to CITATION Dic14 \l 1033 (, 2014), Volume isnouna?collection?of?written?or?printed?sheets?bound?together?and?constituting?a?book.one?book?of?a?related?set?or?series.a?set?of?issues?of?a?periodical,?often?covering?one?year.History/Historical?.?a?roll?of?papyrus,?parchment,?or?the?like,?or?of?manuscript.the?amount?of?space,?measured?in?cubic?units,?that?an?object?or?substance?occupies.2.1.1.3 Definition of VelocityAccording to CITATION Mer143 \l 1033 (Merriam Webster, 2014), velocity is NOUN?(plural?velocities)The speed of something in a given direction: the velocities of the emitted particles2.1.2 Definition of Cloud ComputingAccording to CITATION Buy13 \l 1033 (Buyya, Vecchiola, & Thamarai, 2013), cloud computing is a technological advancement that focuses on the way we design computing systems, develop applications, and leverage existing services for building software. It is based on the concept of dynamic provisioning, which is applied not only to services but also to compute capability, storage, networking, and information technology (IT) infrastructure in general. Resources are made available through the Internet and offered on apay-per-usebasis from cloud computing vendors. Today, anyone with a credit card can subscribe to cloud services and deploy and configure servers for an application in hours, growing and shrinking the infrastructure serving its application according to the demand, and paying only for the time these resources have been used.2.1.2.1 Cloud Computing ModelAccording to CITATION Aid12 \l 1033 (Aidan, Vredevoort, Lownds, & Flynn, 2012), there are three widely accepted types of cloud service models. Each serves a different purpose. A business may choose to use just one, two, or even all three of the cloud types simultaneously as the need arises2.1.2.1.1 Software as a Service (SaaS)This model was around long before anyone started talking about cloud computing. SaaS is an online application that you can use instead of one that you install on a server or a PC. One of the oldest examples is webmail. People have been using Hotmail, Yahoo! Mail, and others since the 1990s. Many users of these services do not install an email client; instead they browse to the website of the service provider, log in, and correspond with their friends, family, and colleagues.Since then the variety of personal and business applications has exploded. Rather than deploying an Exchange Server and a SharePoint farm in a small business or a branch office (which requires servers and time), you can subscribe to Microsoft Office 365 and deploy mailboxes and SharePoint sites in a matter of hours, and users can access those services from anywhere on the planet if they have Internet access.Other examples include Salesforce CRM, Microsoft Dynamics CRM, Microsoft Windows Intune, and Google Apps.The strength of SaaS is that any user can subscribe to a service as quickly as they can pay with their credit card. In addition to this, the company doesn't have to deploy or manage an application infrastructure. The experience is not that different from purchasing an app for a smartphone: you find something that meets your needs, you pay for it, and you start using it—with maybe some local configuration on the PC to maximize service. The disadvantage is that these systems are not always flexible and may not integrate well with other business applications your organization requires. SaaS is a generalized service that aims to meet the needs of the majority of the market. The rest of the market must find something that they can customize for their own needs.2.1.2.1.2 Platform as a Service (PaaS)Ask any software developer what their biggest complaint about deploying their solutions is, and there's a pretty good chance they'll start talking about server administrators who take too long to deploy servers and never provide exactly what the developers need.PaaS aims to resolve these issues. It is a service-provider-managed environment that allows software developers to host and execute their software without the complications of specifying, deploying, or configuring servers. An example of a PaaSIs Microsoft Windows Azure. Developers can create their applications in Visual Studio and load them directly into Microsoft's PaaS, which spans many data centers across the globe. There they can use compute power, an available and scalable SQL service, application fabrics, and vast amounts of storage space.A widely used example is Facebook. Many people tend their virtual farms or search for clues to solve murders from their offices using software that executes on Facebook. The developers of those games take advantage of the platform that this expansive social network gives them, and they can rapidly reach a large audience without having to invest huge amounts of time and money to build their own server farms across the world.The strength of this solution is that you can deploy a new application on a scalable platform to reach a huge audience in a matter of minutes. The hosting company, such as Microsoft, is responsible for managing the PaaS infrastructure. This leaves the developers free to focus on their application without the distractions of servers, networks, and so forth. The weakness is that you cannot customize the underlying infrastructure. For example, if you require new web server functionality or third-party SQL Server add-ons, this might not be the best cloud service model to use.2.1.2.1.3 Infrastructure as a Service (IaaS)Because it is based on a technology most IT pros already know, IaaS is a model of cloud computing that is familiar to them. IaaS allows consumers to deploy virtual machines with preconfigured operating systems through a self-service portal. Networking and storage are easily and rapidly configured without the need to interact with a network administrator.Virtualization, such as Microsoft Hyper-V, is the underlying technology that makes IaaS possible. An IaaS cloud is much more than just server virtualization. Network configuration must be automated, services must be elastic and measured, and the cloud should have multitenant capabilities. This requires layers of management and automation on top of traditional virtualization.The resulting solution allows consumers of the service to rapidly deploy preconfigured collections of virtual machines with no fuss. Software developers or department administrators can customize the virtual machines to suit the needs of the applications that will be installed in them. The working environment is familiar and can easily integrate with almost all technologies in an organization. The disadvantage for some is that there are virtual machines to deploy and operating systems to create and maintain. Subsequent chapters explain how Microsoft Virtual Machine Manager 2012 helps IaaS administrators deal with these concerns.2.1.2.2 Cloud-Computing Deployment ModelsAccording to CITATION Aid12 \l 1033 (Aidan, Vredevoort, Lownds, & Flynn, 2012), each of these cloud service models can exist in different locations and have different types of owners, which dictate the deployment model of the cloud.2.1.2.2.1 Private CloudA private cloud is entirely dedicated to the needs of a single organization. It can be on or off premises. An on-premises private cloud resides in the owner's computer room or data center and is managed by the organization's own IT staff. With the on-premises approach, a company has complete control of the data center, the infrastructure, and the networks. An off-premises private cloud takes advantage of the existing facilities and expertise of an outsourcing company, such as a colocation hosting facility. The off-premises approach is attractive to those organizations that don't want to or cannot afford to build their own computer room or data center.The advantage of a private cloud is that an organization can design it and change it over time to be exactly what they need. They can control the quality of service provided. With the right systems in place, regulatory compliance, security, and IT governance can be maintained. The disadvantage of this deployment model is that it can require a significant investment of expertise, money, and time to engineer the solution that is right for the business.Private clouds change the role of the IT administrators. Without a private cloud, they are involved in many aspects of application deployment, including virtual machines or physical servers, network configurations, network load balancers, storage, installation of applications such as SQL Server, and so on. With a private cloud, their role becomes one of managing the centralized shared resources and managing the service level of the infrastructure. IT admins create and manage the pools of reusable components and systems that empower and enable businesses to deploy their own services. This means that they provide smarter, higher levels of service that are more valued by businesses.2.1.2.2.2 Public CloudA public cloud is a multitenant cloud that is owned by a company that typically sells the services it provides to the general public. Public clouds are readily available in different types. There are huge geo-located presences such as Windows Azure, Microsoft Office 365, and Amazon Elastic Compute Cloud. You can also find smaller service providers that offer custom services to suit the unique needs of their clients The big advantage of public cloud computing is that it is always ready to use without delays. A new business application can be deployed in minutes. The business does not need to invest in internal IT infrastructure to get the solution up and running. Doesn't this sound like it might be the way forward? Doesn't it sound as if outsourcing is finally going to happen and make IT pros redundant? Not so fast, my friend!There are a few issues that can affect the choice of an informed decision maker. Where is the public cloud located? What nationality is the company that owns that cloud? The answers to these questions can affect compliance with national or industrial regulations. What sort of support relationship do you have with your telecom provider? Do you think a public cloud service provider will be that much different? Maybe the public cloud service provider has a fine support staff—or maybe they prefer to keep you 5,000 miles away on the other end of an email conversation. How much can you customize the service on the public cloud and how well does it integrate with your internal services? Maybe your job as an IT engineer or administrator is safe after all.2.1.2.2.3 Cross-Premises CloudThings are not always black or white. The strengths of the private cloud complement the weaknesses of the public cloud, and vice versa. Where one is weak, the other is strong. Most organizations can pick and choose the best offerings of both cloud deployment models.The cross-premises cloud, also known as a hybrid cloud, uses a private cloud and a public cloud at the same time, with services spanning both deployments.Recall the online retail company that needs to rapidly expand and reduce their online presence for seasonal demands. This company can use a private cloud to store sensitive customer information. The private cloud data can be integrated with a public cloud such as Windows Azure. Azure provides huge data centers; application administrators can quickly expand their capacity during the peak retail season and reduce it when demand subsides. The company gets the best of both worlds: control of security and compliance from the private cloud, cost-effective elasticity and scalability from the public cloud, and a single service spanning both.This book describes how to create such a cross-premises cloud using Virtual Machine Manager 2012 and AppController.2.1.2.2.4 Community CloudA community cloud is one that is shared by many organizations. This open cloud can use many technologies, and it is usually utilized by organizations conducting collaborative scientific research. It offers participants features of both the public and the private cloud. Together, they can control the security and compliance of the cloud while taking a shared risk. They also get access to a larger compute resource that spans their cumulative infrastructures. Because of their open nature, community clouds are extremely complex. A community cloud is a shared risk. Security and compliance are only as strong as the weakest member, and there will be competition for compute availability. Even in a private cloud, company politics are significant. One can only imagine the role that politics will play in a community cloud that is owned and operated by several state agencies.2.2 Benefits of Big Data According to CITATION Sta14 \l 1033 (Stanford University, 2014) the benefits of big data are:2.2.1 For IndividualBig data analysis provides a direct benefit to those individuals whose information is being used. For example, the high degree of customization pursued by Netflix and Amazon, which recommend films and products to consumers based on analysis of their previous interactions. Data analysis benefits consumers and has been justified without solicitation of explicit agreement. Similarly, Comcast’s decision in 2010 to proactively monitor its customers’ computers to detect malware, and more recent decisions by Internet service providers including Comcast, AT&T, and Verizon to reach out to consumers to report potential malware infections, were intended to directly benefit consumers. Also Google’s autocomplete and translate are based on comprehensive data collection and real time analysis.2.2.2 For CommunityThe collection and use of an individual’s data benefits not only individual, but also community, such as users of a similar product of residents of a geographical area. Think about Internet browser crash reports, which few users opt into not so much because of real privacy concerns but rater due to a belief that others will do the job for them. Those users who do agree to send crash reports benefit not only themselves, but also other users of the same product. Similarly, individuals who report drug side effects confer a benefit to other existing and prospective users.2.2.3 For OrganizationsBig data analysis often benefits those organizations that collect and harness the data. Data-driven profits may be viewed as enhancing allocative efficiency by facilitating the ‘free’ economy. The emergence, expansion, and widespread use of innovative products and services at decreasing marginal costs have revolutionized global economies and societal structures, facilitating access to technology and knowledge and fomenting social change. With more data, businesses can optimize distribution methods, efficiently allocate credit, and robustly combat fraud, benefitting consumers as a whole. But in the absence of individual value or broader societal gain, others may consider enhanced business profits to be a mere value transfer from individuals whose data is being exploited. In economic terms, such profits create distributional gains to some actors as opposed to driving allocative efficiency.2.2.4 SocietySome data uses benefit society at large, for example, data mining for purposes of national security. When weighting the benefits of national security driven policies, the effects should be assessed at a broad societal level. Similarly, data usage for fraud detection in the payment card industry helps facilitate safe, secure, and frictionless transactions, benefiting society as a whole. And large-scale analysis of geo-location data has been used for urban planning, disaster recovery, and optimization of energy consumption.CHAPTER 3Discussion3.1 Sample of Cloud Computing ServicesIaaS, PaaS and SaaS are cloud computing service models.IaaS(Infrastructure as a service), as the name suggests, provides the computing infrastructure, physical or (quite often) virtual machines and other resources like virtual-machine disk image library, block and file-based storage, firewalls, load balancers, IP addresses, virtual local area networks etc. Examples: Amazon EC2, Windows Azure, Rackspace, Google Compute Engine.PaaS (Platform as a service), as the name suggests, provides you computing platforms which typically includes operating system, programming language execution environment, database, web server etc. Examples: AWS Elastic Beanstalk, Windows Azure, Heroku, , Google App Engine.While in Saas (Software as a service) model you are provided with access to application softwares often referred to as on-demand softwares. You don't have to worry about the installation, setup and running of the application. Service provider will do that for you. You just have to pay and use it through some client. Examples: Google Apps, Microsoft Office 365.As far as popularity of these services is concerned, they all are well known. It's the matter which model suit your needs best. For example, if you want to have a Hadoop cluster on which you would run MapReduce jobs, you will find EC2 a perfect fit, which is IaaS. On the other hand if you have some application, written in some language, and you want to deploy it over the cloud, you would choose something like Heroku, which is an example of PaaS.3.2 Cloud computing provider in IndonesiaThe Indonesia cloud computing market grew by 43% in 2012, to revenue of $31.4 million. To date, large telcos and key data center market participants in the country are playing a significant role in encouraging the growth of this market. SaaS becomes a key differentiator and means to generate a new stream of revenue for these players. For example, PT Telekom. Indonesia (Telkom) offers SaaS E-Office; recently, XL Axiata has partnered with 6 relevant cloud vendors (Huawei, IBM, Fujitsu, Microsoft, Intratec, and Mandawani) to offer its upcoming X-Cloud. A key target market for Telkom and XL Axiata will be their current corporate customers. The telco market in Indonesia is led by Telkom Indonesia and IndoSat. Telkom Indonesia provides its cloud offering through TelkomSigma. It offers infrastructure and applications through its cloud portfolio. Its infrastructure services range from private cloud to public cloud solutions, with bursting options. Its SaaS solutions include financial services solutions, mobile workforce management, and office automation.IndoSat has recently partnered with Dimension Data to launch an enterprise-class public cloud service for the Indonesian market. The IndoSat Cloud, a public cloud Infrastructure-as-a-Service (IaaS) offering, supports on-demand provisioning of cloud servers with customized CPU, RAM, storage, as well as management of computers, storage and networking.3.3 Fee structure the provider offer to use cloud computingThe fee structure used for cloud computing usually depends on the number of users and how much resources the enterprise wanted. For instance, Heroku provide modular pricing, different resources, different support level, and different database services will resulting in different pricing. It usually charged monthly or with contracts that will be renewed annually. While google apps for business will cost the enterprise 5 US dollar/user/month.It is understood that the pricing arrangements for ongoing cloud-computing services follow one of two models:· Periodic charging which involves a set subscription fee based on the number of users and an overall or per-user storage limit. This fee may be payable monthly, quarterly or yearly. This offers a degree of certainty and the basic package is often sold cheap, with service providers making most of their profit from upselling add-ons and premium packages; and· Usage-based charging where charges are paid according to the amount of usage of the service by the customer. This can be attractive to customers, particularly where their policies and practices enable them to make best use of the service and minimise wasted charges. However this model makes charging less predictable and more unattractive to the service provider, since the charges it receives will fluctuate from one charging period to the next on a basis that is beyond its control.3.4 What type of data will be the source of Big dataSocial network profiles—Tapping user profiles from Facebook, LinkedIn, Yahoo, Google, and specific-interest social or travel sites, to cull individuals’ profiles and demographic information, and extend that to capture their hopefully-like-minded networks. (This requires a fairly straightforward API integration for importing pre-defined fields and values – for example, a social network API integration that gathers every B2B marketer on Twitter.)Social influencers—Editor, analyst and subject-matter expert blog comments, user forums, Twitter & Facebook “likes,” Yelp-style catalog and review sites, and other review-centric sites like Apple’s App Store, Amazon, ZDNet, etc. (Accessing this data requires Natural Language Processing and/or text-based search capability to evaluate the positive/negative nature of words and phrases, derive meaning, index, and write the results).Activity-generated data—Computer and mobile device log files, aka “The Internet of Things.” This category includes web site tracking information, application logs, and sensor data – such as check-ins and other location tracking – among other machine-generated content. But consider also the data generated by the processors found within vehicles, video games, cable boxes or, soon, household appliances. (Parsing technologies such as those from Splunk or Xenos help make sense of these types of semi-structured text files and documents.)Software as a Service (SaaS) and cloud applications—Systems like , Netsuite, SuccessFactors, etc. all represent data that’s already in the Cloud but is difficult to move and merge with internal data. (Distributed data integration technology, in-memory caching technology and API integration work may be appropriate here.)Public—Microsoft Azure MarketPlace/DataMarket, The World Bank, SEC/Edgar, Wikipedia, IMDb, etc. – data that is publicly available on the Web which may enhance the types of analysis able to be performed. (Use the same types of parsing, usage, search and categorization techniques as for the three previously mentioned sources.)Hadoop MapReduce application results—The next generation technology architectures for handling and parallel parsing of data from logs, Web posts, etc., promise to create a new generations of pre- and post-processed data. We foresee a ton of new products that will address application use cases for any kinds of Big Data – just look at the partner lists of Cloudera and Hortonworks. In fact, we won’t be surprised if layers of MapReduce applications blending everything mentioned above (consolidating, “reducing” and aggregating Big Data in a layered or hierarchical approach) are very likely to become their own “Big Data”. Data warehouse appliances—Teradata, IBM Netezza, EMC Greenplum, etc. are collecting from operational systems the internal, transactional data that is already prepared for analysis. These will likely become an integration target that will assist in enhancing the parsed and reduced results from your Big Data installation. Columnar/NoSQL data sources—MongoDB, Cassandra, InfoBright, etc. – examples of a new type of map reduce repository and data aggregator. These are specialty applications that fill gaps in Hadoop-based environments, for example Cassandra’s use in collecting large volumes of real-time, distributed work and in-stream monitoring technologies—Packet evaluation and distributed query processing-like applications as well as email parsers are also likely areas that will explode with new startup technologies. Legacy documents—Archives of statements, insurance forms, medical record and customer correspondence are still an untapped resource. (Many archives are full of old PDF documents and print streams files that contain original and only systems of record between organizations and their customers. Parsing this semi-structured legacy content can be challenging without specialty tools like Xenos.)3.5 Structured data, unstructured data and semi structure data, give the example of each typeStructured Data: Structured data refers to data that is identifiable because it is organized in a structure. The most common form of structured data — or structured data records (SDR) — is a database where specific information is stored based on a methodology of columns and rows. Structured data is also searchable by data type within content. Structured data is understood by computers and is also efficiently organized for human readers. Unstructured or Semi-Structured Data: Refers to any data that has no identifiable structure. For example, images, videos, email, documents and text are all considered to be unstructured data within a data set. While each individual document may contain its own specific structure or formatting that is based on the software program used to create the data, unstructured data may also be considered “semi-structured data” because the data sources do have a structure but all data within a data set will not contain the same structure.Examples:Word Doc & PDF’s & Text files - Unstructured data (Examples: Books, Articles)Audio files - Unstructured data (Example: Call center conversations.)eMail body - Unstructured dataVideos - Unstructured data (Example: Video footage of CCTV)A Data Mart / Data Warehouse - Structured DataXML - Semi Structured Data3.6 How to use big data to give the benefit for company Big Data can unlock significant value by making information transparent. There is still a significant amount of information that is not yet captured in digital form, e.g., data that are on paper, or not made easily accessible and searchable through networks. We found that up to 25 percent of the effort in some knowledge worker workgroups consists of searching for data and then transferring them to another (sometimes virtual) location. This effort represents a significant source of inefficiency.As organizations create and store more transactional data in digital form, they can collect more accurate and detailed performance information on everything from product inventories to sick days and therefore expose variability and boost performance. In fact, some leading companies are using their ability to collect and analyse big data to conduct controlled experiments to make better management decisions.Big Data allows ever-narrower segmentation of customers and therefore much more precisely tailored products or services.Sophisticated analytics can substantially improve decision-making, minimise risks, and unearth valuable insights that would otherwise remain hidden.Big Data can be used to develop the next generation of products and services. For instance, manufacturers are using data obtained from sensors embedded in products to create innovative after-sales service offerings such as proactive maintenance to avoid failures in new products.3.7 What is the reason not much company in Indonesia use cloud computing?We have slow internet connection, loss of privacy, undeveloped technical skills, and the lack of knowledge for cloud computing. Also, we have relatively cheap IT staff. Plus, the managers usually hesitate to let the legacy architecture and programming language go since it’s all that they know.3.8 How we can calculate the value of investment of Big DataIt’s difficult to say the value of big data investment since big data often include complex algorithm and unrealized intangible benefit. But if we only want to measure from the revenue perspective, we should measure the ROI of the investment. For example, ROI for Search Engine Advertising. As long as users cost less than their conversion into customers, advertising can be scaled without hesitation.CHAPTER 4Conclusion4.1 Conclusion Cloud Computing Deployment model:IaaS(Infrastructure as a service), as the name suggests, provides the computing infrastructure, physical or (quite often) virtual machines and other resources..PaaS (Platform as a service), as the name suggests, provides you computing platforms which typically includes operating system, programming language execution environment, database, web server etc. Saas (Software as a service) model you are provided with access to application softwares often referred to as on-demand softwares.Example of Cloud Computing provider in IndonesiaPT Telkom Indonesia (Telkom) offers SaaS E-OfficeXL Axiata has partnered with 6 relevant cloud vendors (Huawei, IBM, Fujitsu, Microsoft, Intratec, and Mandawani) to offer its upcoming X-Cloud.Telkom Indonesia and IndoSat. Telkom Indonesia provides its cloud offering through TelkomSigma.IndoSat has recently partnered with Dimension Data to launch an enterprise-class public cloud service for the Indonesian market. The IndoSat Cloud.Cloud computing pricingPeriodic charging which involves a set subscription fee based on the number of users and an overall or per-user storage limit.Usage-based charging where charges are paid according to the amount of usage of the service by the customer.Type of Data (based on the structure)Structured Data: Structured data refers to data that is identifiable because it is organized in a structure.Unstructured or Semi-Structured Data: Refers to any data that has no identifiable structure. Big data benefits for companyBig Data can unlock significant value by making information transparent.As organizations create and store more transactional data in digital form, they can collect more accurate and detailed performance information on everythingBig Data allows ever-narrower segmentation of customers and therefore much more precisely tailored products or services.Sophisticated analytics can substantially improve decision-making, minimize risks, and unearth valuable insights that would otherwise remain hidden.Big Data can be used to develop the next generation of products and services.4.2 SuggestionIndonesian companies should consider cloud computing as alternatives towards greener, more scalable alternative to traditional IT resources utilization. Companies also should consider to implement big data within the organization, especially for predicting market sentiment and aiding the process of formulating strategic descision.References BIBLIOGRAPHY Aidan, F., Vredevoort, H., Lownds, P., & Flynn, D. (2012). Microsoft Private Cloud Computing. Hoboken, NJ: John Wiley & Sons, Inc.Bentley, L. D., & Whitten, J. L. (2007). Systems Analysis and Design for the Global Enterprise SEVENTH EDITION. New York: McGraw-Hill Companies, Inc.Buyya, R., Vecchiola, C., & Thamarai, S. S. (2013). Mastering Cloud Computing: Foundations and Applications Programming. Waltham, MA: Elsevier Inc.. (2014, May 29). Variety. Retrieved from : . (2014, May 29). Big Data Definition | IT Glossary. Retrieved from Gartner: . (2014, May 22). Press Release. Retrieved from IDC: , D. (2014, May 30). Gartner Says Solving 'Big Data' Challenge Involves More Than Just Managing Volumes of Data. Retrieved from Gartner: Webster. (2014, May 22). Communication. Retrieved from Merriam Webster: Webster. (2014, May 22). Information. Retrieved from Merriam Webster: Webster. (2014, May 22). Technology. Retrieved from Merriam Webster: Webster. (2014, May 29). Variety. Retrieved from Merriam Webster Dictionary: , K. R., & Cegielski, C. G. (2011). Introduction to INFORMATION SYSTEMS Enabling and Transforming Business. Danvers: John Wiley & Sons, Inc.Satzinger, J. W., Jackson, R. B., & Burd, S. D. (2005). Object-Oriented Analysis and Design with the Unified Process. Boston: Course Technology, Cengage Learning.Satzinger, J. W., Jackson, R. B., & Burd, S. D. (2009). SYSTEM ANALYSIS AND DESIGN IN A CHANGING WORLD. Boston: Course Technology Cengage Learning.Stanford University. (2014, May 29). Privacy and Big Data. Retrieved from Stanford Law Review: IndividualCURRICULUM VITAE15240190500Name: Albert KomalaBirthplace and date: Jakarta - August 29, 1993Gender: MaleAddress: Kavling DKI Blok XI/42, Meruya Utara, Jakarta Barat. 11620Phone Number: +62 899 999 5352Email: albertkomala@Education1999 – 2005: SDK Abdi Siswa, Jakarta2005 – 2008 : SMPK Abdi Siswa, Jakarta2008 – 2011 : SMAK Abdi Siswa, Jakarta2011 – Present : Universitas Bina Nusantara, JakartaPendidikan Non-Formal:2008-2011: TOEFL 45 hours International Exam Preparation High Intermediate Level. TOEFL, JakartaWorking Experience:6th of June 2012: Commitee on “How To Print Money at Home” seminarJune – July 2011 : Internship at CV.Sumber Makmur12 – 13 September 2012: Binus Online Job Expo 201211 – 12 September 2013: Binus Online Job Expo 2013-20955444500Name: Albertus AndikaBirthplace and date: Jakarta, 18th of December 1991Gender: MaleAddress: Taman Alfa Indah blok i6/20. Petukangan Utara. Pesanggrahan, Jakarta selatan, 13360Phone Number: +62 817 921 2766 Email: albertus.asia@Education1998 – 2004: SDK Sang Timur, Jakarta2004 – 2008 : SMPK Abdi Siswa, Jakarta2008 – 2011 : SMAK Abdi Siswa, Jakarta2011 – Present : Universitas Bina Nusantara, JakartaNon-Formal Education:2008-2011: TOEFL 45 hours International Exam Preparation High Intermediate Level. TOEFL, JakartaWorking Experience:2011-2013: PT. SmartFren Telecom, TBK. Telemarketer2013: Binus Career, Event IT Support2012- 2013: Binus Career, Part Time Promotional Team2012: Vice President on “How To Print Money at Home” Seminar2010- 2011: CV Embrio Property Agent, Executive Marketing-190512065000Name: Felix BoenawanBirthplace and date: 24th of December, 1993Gender: MaleAddress: Jl. Kelingkit 3 No. 83,Rawa Buaya, Jakarta Barat, 11740 Phone Number: +62 8988 290 946Email: felix.boenawan@Education1999 – 2005: SD Lamaholot2005 – 2008 : SMP Trinitas2008 – 2011 : SMA Notre Dame2011 – Present : Universitas Bina Nusantara, JakartaNon-Formal Education: 2000 – 2007: ACE Kids English Course Intermediate LevelWorking Experience:2011: Part Time Worker at PT KRAFT Indonesia2013: English Tutor Bina Nusantara2012 – Present: Manager of Supernova Gaming Center-19054254500Name: Kelvina WibowoBirthplace and date: Jakarta, 23rd of September 1993Gender: FemaleAddress: Jalan Lautze no. 6k. Jakarta Pusat, 10710Phone Number: 081932403390Email: Education1999 – 2005: SD Santo Yoseph2005 – 2008 : SMP Santo Yoseph2008 – 2011 : SMA Budi Mulia2011 – Present : Universitas Bina Nusantara, JakartaNon-Formal Education:2011-2012: Java Programming, LnT2006-2007: English Little Star2000-2005: ABC Patricia-1905444500Name: Schwanova LuckiBirthplace and date: Jakarta, 13th of November 1993 Gender: MaleAddress: Komplek Kresek Indah Blok T/18 Jl. Rosalia RT 003/RW 012 Kel. Duri KosambiPhone Number: +62 821 6803 8361Email: limitless.arch@yahoo.co.idEducation1999 – 2005: SD Lamaholot2005 – 2008 : SMP Santo Leo 22008 – 2011 : SMA Santo Leo 22011 – Present : Universitas Bina Nusantara ................
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