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Features of Big Data Analytics Tools

Big Data Analytics is the often complex process of examining large and varied data sets or big data to uncover information including hidden patterns, unknown correlations, market trends and customer preferences that can help organizations make informed business decisions.

Features of Big Data Analytics Tools

Firstly, if you want to know big data analytics tools and their usage, you should visit this article.

Data Processing the collection and manipulation of items of data to produce meaningful information. it can be considered a subset of information processing, the change of information in any manner detectable by an observer. Data processing features involve the collection and organization of raw data to produce meaning. Data modelling takes complex data sets and displays them in a visual diagram or chart. its fields are

  • Modelling.
  • Data Mining.
  • Data File Sources.
  • File Exporting.

Predictive Application is an area of statistics that deals with extracting information from data and using it to predict trends and behaviour patterns. The enhancement of predictive web analytics calculates statistical probabilities of future events online. identity management is the organizational process for controlling who has access to your data. Identity management functionality manages to identify data for everything that has access to a system including individual users, computer hardware and software applications. its fields are

  • Identity Management.
  • Fraud Analytics.

Analytics is the science of drawing insights from raw information sources. Many of the techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption. Big Data analytics tools offer a variety of analytics packages and modules to give users options. RIsk analytics, for example, is the study of the uncertainty surrounding any given action. It can be used in combination with forecasting to minimize the negative impacts of future events. its fields are

  • Risk Analytics.
  • Decision Management.
  • Text Analytics.
  • Content Analytics.
  • Statistical Analysis.
  • Predictive Analytics.
  • Social Media Analytics.

Reporting Features like cascading parameters, which allows you to define restrictions on different data elements such as selecting a data range, as well as filtering and sorting capabilities which allow you to manipulate data within a given report, and fully interactive and ad hoc reporting capabilities. This allows users to make snap decisions in heavily time-constrained situations and be both more prepared and more competitive in a society that moves at the speed of light. its fields are

  • Real-Time Reporting.
  • Dashboards.
  • Location-Based Insights.

 Security Features Keeping your system safe is crucial to a successful business. Big Data analytics tools should offer security features to ensure security and safety.  it is an authentication service that assigns users a single set of login credentials to access multiple applications. It authenticates end-user permissions and eliminates the need to log in multiple times during the same session. It can also log and monitor user activities and accounts to keep track of who is doing what in the system. its fields are

  • Single Sign-On.
  • Data Encryption.

Technologies Support refers to services that entities provide to users of technology products or services. Technical support may be delivered over by phone, e-mail, live support software on a website, or other tools where users can log an incident. It catalogues how users interact with both versions of the webpage and perform statistical analysis on those results to determine which version performs best for given conversion goals. its fields are

  • A/B Testing.
  • Integration with Hadoop.
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