Big Data Analytics: Tools and Technologies for Large-Scale Data Processing

 




Recently, data generation has augmented with the increase in the development and use of various technologies. Every action online now leads to the creation of more information. Big Data refers to significant data in all its forms- semi-structured, structured, and unstructured. 

Big Data analytics entails segregating and processing considerable amounts of generated data in appropriate and less complicated forms to get the desired results and outcomes. In this article, let us deliberate on a few tools and technologies that make it possible. 


APACHE Hadoop

Hadoop is an open-source and Java-based platform to process and store Big Data. It remains built on a unique cluster system that enables the system to handle data efficiently and effectively. 

Hadoop can process unstructured and structured data science course fees in bangalore. It can do so from one server, increasing the scale to several computers. On top of that, the tool offers cross-platform help or support to its users. 


Data Mining

Data mining is a Big Data analytics technology that helps determine and extract useful and valuable trends and patterns from raw data. It has tools that can turn structured and unstructured data into constructive information. Two of them entail the following:


  • Presto: It is an open-source search engine that can combine or amalgamate data from several sources. On top of that, it can perform various analytics on the collected information in a very short time. 

  • Rapidminer: It is a data mining tool for building predictive models. It helps process and prepare data. In addition, it aids in developing deep and machine-learning models. 


Spark

APACHE Spark helps process significant amounts of data. In addition to that, it aids in performing multiple tasks on an exponential scale. Spark allows users to process data through several computers using distributing tools. 

Spark is popular as it provides easy-to-use and understandable APIs that offer effortless methods to extract handle. Furthermore, it can handle data in multi-petabytes with no issues. 


Data Visualization

Data Visualization is a beneficial technology that can help create effortlessly-comprehensible and stunning pictorial and graphical representations of data. It proves advantageous when complex information needs to get depicted in less complicated forms and styles to make them easier to understand. Its two most common tools include:


  • Looker: It is a business intelligence tool that helps make it effortless to grasp significant and complex data and share the generated insights. Dashboards, charts, and graphs are popular methods. 

  • Tableau: It offers a drag-and-drop interface that helps make bar charts, Gantt charts, pie charts, box plots, etc. Its secure platform allows users to create and share dashboards and visualizations.


Altamira LUMIFY

LUMIFY is a Big data science course fees in bangalore, processing, visualization, and fusion tool. It aids in understanding and exploring the connections and relationships between the patterns and trends in a dataset. 

LUMIFY provides users with several analytical options, including dynamic histograms, collaborative workspaces, graph visualizations, interactive views, etc. On top of that, it enables data and work organization into different workspaces. Furthermore, LUMIFY offers numerous options to examine links between the multiple entities of a graph. 


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