Big Data and Cloud Computing

Big Data and Cloud Computing

1. Big Data

   • Definition
     • Are data sets that are so large, complex, and rapidly growing that they make them difficult to capture, manage, process, or analyze with conventional technologies and tools.

2. Cloud Computing

   • Definition
     • Is access on demand, through from the Internet, to computing resources such as applications, servers, data storage and tools development, hosted in a remote data center managed by a cloud service provider.

3. characteristics

   • Big data has 7 essential magnitudes
     • Volumen
       • It refers to the amount of data that is generated in a specific environment and the storage of massive amounts of data.
     • Velocity
       • It refers to the speed at which data is created, stored and processed in real time.
     • Variety
       • Se refiere a las formas, tipos y fuentes en las que se registran los datos.
     • Veracity
       • It refers to the degree of reliability of the information received.
     • Viability
       • It is the ability that companies have to generate effective use of the large volume of data they manage daily.
     • Display
       • It refers to the way in which the data is presented.
     • Data Value
       • It is the product obtained after transforming data into knowledge to improve decision making.

4. characteristics

   • Self-service on demand
     • It is a service available automatically and on demand, resources can be managed when you need them, without the intervention of the provider.
   • Accessible over the network
     • The resources must be available on the network, regardless of the type of cloud.
   • Resource Pooling
     • The provider's resources are pooled to serve multiple customers.
   • Elasticity
     • Is the ability to increase or decrease infrastructure and resources according to needs, releasing those that are no longer required.
   • Metered and pay-as-you-go service
     • Resources are monitored and you only pay for what you use, such as storage, bandwidth and uptime, with complete transparency.

5. Relationship

   • It is complementary, because they enhance each other to offer more efficient solutions in management. and analysis of large volumes of data.
   • Benefits
     • Scalability
       • Cloud Computing provides the infrastructure to store Big Data information and process large volumes of data.
     • Costs reduction
       • Pay-per-use is used, avoiding high monthly fees and paying only for what is used in the cloud.
     • Immediacy
       • It is an agile process. We don't need complicated server configurations; we can create new cloud resources in minutes.
     • Processing capacity
       • On a local server, resources are limited, but, Cloud Computing allows you to handle large volumes of information, easily scaling resources for each process.
     • Concurrence
       • Several users or projects can access Big Data in parallel. Cloud Computing allows these simultaneous accesses without affecting performance.
     • Security
       • Security protocols and backup services are used when required by the user.