Big Data Courses typically range from a few weeks to several months, with fees varying based on program and institution.
|Post Graduate Program in Data Engineering
Cohort Starts: 8 Mar, 2024
Aly El Gamal has a Ph.D. in Electrical and Computer Engineering and M.S. in Mathematics from the University of Illinois. Dr. El Gamal specializes in the areas of information theory and machine learning and has received multiple commendations for his research and teaching expertise.Twitter LinkedIn
I completed Simplilearn's Post-Graduate Program in Data Engineering, with Purdue University. I gained knowledge on critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data and more. The live sessions, industry projects, masterclasses, and IBM hackathons were very useful.
The course is very well laid out with instructors who are incredibly knowledgeable in their fields. The course curriculum is industry-relevant. I can now comfortably deal with my Big Data projects and successfully lead a team of engineers. Upskilling helped me change my domain, get a salary hike and become a certified Big Data engineer.
This platform has enhanced my knowledge of big data and provided me the opportunity to work with experienced industry professionals. I appreciate the tutor's in-depth knowledge and, the help and support provided by Simplilearn. After the certification, I was able to grab a role change.
Use Hadoop features to predict patterns and share actionable insights for a car insurance company.
Use Hive features for data engineering and analysis of New York stock exchange data.
Perform sentiment analysis on employee review data gathered from Google, Netflix, and Facebook.
Perform product and customer segmentation to increase the sales of Amazon.
Conduct Market analysis for online grocery delivery and pick-up service utilizing a data set of a large sample size.
Measure user interactions to rank the top trending videos on YouTube and determine actionable insights.
Build visualization for the sales data using a dashboard to estimate the demand for all locations. This will be used by a retailer to make a decision on where to open a new branch.
Upload data to Azure Data Lake Storage and save large data sets to Delta Lake of Azure Databricks so that files can be accessed at any time.
Monitor the performance of an EC2 instance to gather data from all parts and understand debugging failure.
Analyze the sales data to derive significant region-wise insights and include details on the product evaluation.
Big data refers to the massive volume of both structured and unstructured data that is generated by businesses on a daily basis. This data is analyzed to find trends, patterns, and associations that can be beneficial for the business (referred to as “business intelligence”).
The Apache Kafka course is a great next step for intermediates after completing big data training for beginners.
The big data applications market is expected to grow from $5.3 billion in 2018 to $19.4 billion by 2026.
The top five job titles in the field of big data are:
The career path for a big data aspirant is:
Once you are done with the aforementioned steps, you can become a big data professional.
A Big Data Specialist can earn around $107,801 annually in the United States.
The top industries that are suitable for big data professionals are:
The top five companies hiring big data professionals are:
Yes, Simplilearn provides you a Post Graduate Program in Data Engineering in partnership with Purdue University.
Earn up to $165K
Earn up to $165K