BIG DATA

BIG DATA

1. History

   • WAVE 1: manageable data structures
     • Flat files
     • Relational model
     • Higher order and management of comparable data
     • Data management was expensive and very slow
     • A much more organized, fast and massive process was obtained
   • WAVE 2: web and content management
     • Use mostly structured data related to income
     • Increased unstructured handling capacity
     • Platforms that incorporated business process management
     • Was stopped using only the documents and began to implement new types of files
     • Began to understand that new data sources were needed because of their size and speed
   • WAVE 3: big data management
     • Virtualization of data
     • Faster network speed and greater reliability
     • Lowest prices

2. For business

   • Helps to get very useful information
   • Management of large volumes of data
   • High-speed data handling
   • Variety of data
   • It allows to study and have more solid bases to decide better

3. Business efectiveness

   • Capture, organize, integrate, analyze and act
   • Computational power and speed
   • Analyze the data according to the problem being treated

4. Important things

   • Interfaces and feeds
   • Redundant physical infrastructure
   • Security infrastructure
   • Operational data sources
   • Organizing data services and fools
   • Mapreduce, hadoop and big table

5. Areas such as

   • Health, manufacturing management, traffic management
     • Planning Successfully for the Future
     • Informs presentation
     • Data visualization
     • Tools to analyze the context