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In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. This massive amount of data is referred to as “bigdata,” which comprises large amounts of data, including structured and unstructureddata that has to be processed.
Automated tools are developed as part of the BigData technology to handle the massive volumes of varied data sets. BigData Engineers are professionals who handle large volumes of structured and unstructureddata effectively. You shall look to expand your skills to become a BigData Engineer.
Bigdata enables businesses to get valuable insights into their products or services. Almost every company employs data models and bigdata technologies to improve its techniques and marketing campaigns. Most leading companies use bigdata analytical tools to enhance business decisions and increase revenues.
Ace your bigdata interview by adding some unique and exciting BigData projects to your portfolio. This blog lists over 20 bigdata projects you can work on to showcase your bigdataskills and gain hands-on experience in bigdatatools and technologies.
Here are a few reasons why you should work on data analytics projects: Data analytics projects for grad students can help them learn bigdata analytics by doing instead of just gaining theoretical knowledge. Topic modelling can also be used to classify large datasets of emails.
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