3. Basic Big Data
Tech List (7)
  • NoSQL
    "Not Only SQL" is a non-relational database which is a variety of types based on their data model, including key-value, document, graph, and column.
  • Object Storage
    A storage as distinct units called objects, which combines pieces of data that make up a file. It is created to store unstructured data without scaling limitations and used in various cases including cloud applications, content distribution, backup, archiving, disaster recovery, and big data analytics.
  • Hadoop
    An open source software framework for storing data efficiently, processing large datasets (from gigabytes to petabytes), and running applications on clusters of hardware. Hadoop provides a huge storage and allows multiple computers to analyze those database faster than using one large computer.
  • Data Ingestion: ETL
    "Extract-Transform-Load" is a specific type of data ingestion. It is a process consisted of 3 steps; extract data from different sources, transform the data into a usable and trusted resource, and load that data either into Data Lake or Data Warehouse.
  • BI Dashboard
    "Business Intelligence Dashboard" is an information management tool that uses to analyze data and visualize information. The information can be displayed in various forms, including charts, graphs, reports, etc. BI Dashboard provides a big picture of each information being assessed for readers.
  • Real Time Messaging
    Communication between data and the data storage system or data analysis system on the internet.
  • Batch Load
    Processing a large amount of data at the same time that helps speed up the processing time.

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Basic Big Data

Basic Big Data Solution starts with importing big data either in a form of Real Time Events to Real Time Messaging or Batch Load to Object Storage. The data is processed by ETL tool and stored in either No-SQL Database or Data Warehouse. Finally, the big data is processed and displayed on the BI Dashboard.

Basic Big Data