Big Data Projects
Every year, people looking to begin their big data career run into a familiar conundrum - "How can I land a big data job with limited experience in this field?".
For an emerging field like big data, finding internships or full-time big data jobs requires you to showcase relevant achievements working with popular open source big data tools like, Hadoop, Spark, Kafka, Pig, Hive, and more. Big data and project-based learning are a perfect fit. The best way to get started is to begin working on diverse big data project titles under the mentorship of industry experts. Professionals will love working on these big data projects because it's like a secret. There is so much practical learning involved you don't realize it. DeZyre's big data projects are perfect for beginners, college students, engineering students, professionals wanting to make a career switch and anyone who wants to master big data skills with hands-on experience.
Big Data Projects for Beginners
If you have graduate degree in analytics or relevant field from a top-tier college, it is easy for you to get a big data job. Employers believe that you will be able to add value to their business because of the prestige of the college that has awarded you the degree, and the reality that it is in a subject that is relevant to the kind of skills they are looking for. If you do not have an analytics degree from a top-tier college then you need to build that trust yourself that you have the big data skills that the employer is looking for. The best way to build trust with the hiring manager is to work on interesting big data project ideas and build a portfolio of multiple big data projects - Hadoop projects, spark projects, hive projects, Kafka projects, impala projects, and more. The more "real-world" the big data projects are, the more the hiring manager will trust that you will be an asset to their organization , and the greater are your chances of landing the big data job. The best thing about big data careers is that the work you do on building diverse big data projects often looks exactly similar to the work you will do once you are hired.
For IT professionals or anybody with basic big data knowledge, Dezyre's mini projects on big data will help them take responsibility in solving challenging data problems, and help gain expertise on the popular big data tools like Hadoop, Spark, Hive, Pig,
Big Data Projects for Engineering Students
The good news for people in search of big data projects for CSE students is that there are couple of websites that have big data projects with source code. If you google for search terms like "big data projects GitHub" or "big data projects Quora", you might find suggestions on multiple big data project titles, however, for students on the hunt for big data final year projects, titles and source code is not what all they need for learning. Students need industry expert guidance for deeper understanding and greater retention of knowledge so that they can apply what they know to new real-world big data problems. DeZyre has an excellent project-based learning platform where students will enjoy using a spectrum of big data tools under expert guidance.
Here are some popular big data project titles among the college students-
IT professionals and college students rate our big data projects as exceptional. Whether you are looking to upgrade your skills or you are looking to learn about the complete end-to-end implementation of various big data tools like Hadoop, spark, pig , hive, Kafka, and more, Dezyre's mini projects on big data are just what you want.
What will you get when you enroll for DeZyres Big Data projects?
- Big Data Project Source Code: Examine and implement end-to-end real-world big data projects from the Banking, eCommerce, and Entertainment sector using this source code.
- Recorded Demo: Watch a video explanation on how to execute these big data projects.
- Complete Solution Kit: Get access to the solution design, documents, and supporting reference material, if any.
- Mentor Support: Get your technical questions answered with mentorship from the best industry experts for a nominal fee.
- Hands-On Knowledge: Equip yourself with practical skills on the big data ecosystem.
