What are some good big data projects?

Big Data Project Ideas: Advanced Level

  • Big Data for cybersecurity.
  • Health status prediction.
  • Anomaly detection in cloud servers.
  • Recruitment for Big Data job profiles.
  • Malicious user detection in Big Data collection.
  • Tourist behaviour analysis.
  • Credit Scoring.
  • Electricity price forecasting.

What are the bigdata products?

4 Top Big Data Products

  • Cloudera. Cloudera recently launched Cloudera Enterprise 4.0 Big Data management platform, as well as the fourth-generation of the company’s distribution of the Apache Hadoop software known as CDH4.
  • Datameer.
  • Kognitio.
  • Lucid Imagination.

What is a great example of data product?

Common data products examples are Salesforce’s Einstein AI that provides customer predictive analytics, finance terminals such as the Bloomberg Terminal, website analytics tools such as Google Analytics.

What are some data analytics projects?

These data analytics project ideas reflect the tasks often fundamental to many data analyst roles.

  • Web scraping.
  • Data cleaning.
  • Exploratory data analysis (EDA)
  • 10 free public datasets for EDA.
  • Sentiment analysis.
  • Data visualization.

What are the 7 V’s of big data?

The seven V’s sum it up pretty well – Volume, Velocity, Variety, Variability, Veracity, Visualization, and Value.

What are the types of data products?

As I see it there are three types of data products: data as a service, data-enhanced products, and data as insight.

  • Data as a Service. All data products that create direct revenue fall into this category.
  • Data-Enhanced Products.
  • Data as Insights.

What are the different types of data products?

Types of Data Products

  • Raw data. Starting with raw data, we are collecting and making available data as it is (perhaps we’re doing some small processing or cleansing steps).
  • Derived data.
  • Algorithms.
  • Decision support.
  • Automated decision-making.

Where is big data used in real life?

The best examples of big data can be found both in the public and private sectors. From targeted advertising, education, and already mentioned massive industries (healthcare, manufacturing, or banking), to real-life scenarios, in guest service or entertainment.