Managing Big Data

Managing Big Data

Big Data management is the practice that makes it possible for the organization, management and governance of large volumes of data, both structured and unstructured. If effective management is reached Big Data you can:

  • Ensure a high level of data quality.
  • Making them accessible for business intelligence.
  • Having them always available for use in large data analysis applications.
  • Ensure that valuable information is always located, even when speaking of unstructured data and semi-structured data; and even when they come from different sources.

System logs, data coming from social media, call detail records is necessary … to working with clusters of rapidly growing data and, therefore, to define the corporate information management strategy must consider the Big Data and all that entails: a variety of formats, very big volumes of data (terabytes and even petabytes) and immediacy.

The keys to managing Big Data

Big Data is interesting for companies, it is necessary for them and in many cases, is seen as a vital requirement to minimize the risk. The growing interest in collecting and analyzing large volumes of data is specified in the emergence of new platforms that are able to combine the traditional data warehouse with large informational systems, within a logical context in the data storage architecture.

Go beyond simple data warehouse or classic style of relational databases, you need to incorporate technologies that adapt to the ways of processing and storage of non-transactional data forms. All these processes involve:

  • Decide what data for compliance reasons, must remain and which are not.
  • Establish what data can be eliminated.
  • Confirm what data will be kept and will be analyzed in order to improve current business processes or provide a business with a competitive advantage are.

Guarantee success in managing big data depends on carrying out a careful sorting of data to ensure that, ultimately, the smaller data sets can be analyzed with sufficient urgency to maintain productivity levels.

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