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Importance of Big Data Analytics: Nowadays, Big Data is everywhere and there is a need to gather and preserve whatever data is being generated. As a matter of fact, there is an enormous amount of data floating around. That's why big data analytics is in the frontiers of IT industry. In fact, it becomes crucial as it aids in enhancing business, decision makings and providing the edge over the competitors.

The term “Big data” is used for data sets which are so large or complex that traditional big data applications are inadequate. As well as, challenges such as analysis, capture, search, sharing, storage, transfer, visualization, querying, and information privacy. In fact, big data analytics projects are rapidly increasing because they are increasingly gathered by several information sensing mobile devices, aerial, software logs, cameras, microphones, radio frequency identification readers and wireless sensor networks.

Importance of Big Data Analytics

Big data analytics helps organizations harness their data and use it to determine new opportunities. That in turn, it leads to smarter business moves, more efficient operations, and high profits. Here, some certain benefit of big data such as cost reduction and better decision making.

Characteristics of Big Data Projects

To determine, big data can be described by the following characteristics such as

Veracity: quality of data captured can vary greatly, and affecting the accurate analysis

Volume: Quantity of generated and data stored. Also, the size of the data identifies the value, potential insights

Velocity: The speed at which the data is generated and processed to meet the challenges and demands that lie in the path of the development and growth

Variability: Inconsistency of data set can to hamper processes to handle and manage it

Variety: Type and nature of the data. However, this helps people who analyze it to effectively use the resulting insight

List of Latest Big Data Project Ideas

Here, the list of the Big Data Projects is given. Students can do their big data projects on these following areas.

  • Clustering using map-reduce
  • Big Data-AI integration method
  • Fast communication spectral clustering
  • From securing big data to driven security
  • Secure encrypted data in the cloud
  • Block-level message locked encryption
  • Low latency data processing without prior information
  • Engineering students should prefer big data for their final year project, due to is the future of modern data science. At ElysiumPro, you can get expert training on any kind of project ideas based on big data. Get high quality and trending IEEE projects from here and do it by yourself. We are continuously adding more big data project ideas, so you can find new project topics and ideas in Big Data Analytics Predictions.

    What is Big Data Projects?
    The term "Big Data" is that describes the huge volume of structured, semi-structured and unstructured data which has the potential to be mined for information and also it is used in machine learning projects and other analytics applications.
    What are big data tools?
    The tools used in big data including Apache Spark, MongoDB, R programming, Apache Storm, Apache Hadoop, Apache Cassandra, Neo4j and Apache SAMOA, etc.
    What are examples of big data?
    The examples of industries that use big data such as healthcare, public service agency, retail business and so on. In fact, big data is gathered by means of software and tools such as Hadoop, text mining, data mining and predictive analytics.
    What are big data techniques?
    Big Data is the application of specialized technologies to process huge amount of data. These data sets are so huge and complex that it becomes difficult to process using on-hand database management tools.

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