Companies now handle vast amounts of data on a daily basis and the big data market is estimated to grow from USD 28.65 Billion in 2016 to USD 66.79 Billion by 2021, at a Compound Annual Growth Rate (CAGR) of 18.45% according to Markets & Markets. Learn how to handle, store, sort and analyze vast amounts of data by taking up our wide range of top Big Data certification courses.
Popular Big Data Courses
MongoDB Developer and Administrator
Apache Kafka
Big Data on AWS
Big Data Master's Program
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Ronald van Loon Top 10 Big Data and Data Science Influencer, Director - Adversitement
Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.
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All Big Data Courses
Big Data Knowledge Nuggets
Frequently Asked Questions
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What is Big Data?
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What are the best beginner courses in Big Data for beginners?
Some of the best big data courses for people wanting to venture into this lucrative field are:
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What are the best courses in Big Data for intermediates?
The Apache Kafka course is a great next step for intermediates after completing big data training for beginners.
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What are the best advanced-level courses in Big Data?
The advanced level courses in big data include:
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What is the state (and future prospects) of the Big Data job market?
The big data applications market is expected to grow from $5.3 billion in 2018 to $19.4 billion by 2026.
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What are the top job titles in the field of Big Data?
The top five job titles in the field of big data are:
- Data Engineer
- Data Analyst
- Data Architect
- Database Developer
- Data Security Administrator
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What is the recommended career path for Big Data aspirants?
The career path for a big data aspirant is:
- Operating system - You need to learn about the popular operating systems on which big data tools run
- Programming - Get an in-depth understanding of programming languages to process data easily and efficiently
- DBMS and SQL - Learn to write SQL queries which are needed to optimally manage data in databases
- ETL and warehousing tools - Study the ETL tools critical to the aggregation and analysis of unstructured data from different sources
- Hadoop and Spark frameworks - Process and analyze large volumes of data with a thorough knowledge of Hadoop and Spark
- Data mining and modelling - Understand how to analyze existing data and discover patterns for creating predictive data models
Once you are done with the aforementioned steps, you can become a big data professional.
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What is the average salary of a Big Data professional?
A Big Data Specialist can earn around $107,801 annually in the United States.
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Which are the top industries suitable for Big Data professionals?
The top industries that are suitable for big data professionals are:
- Medicine and healthcare
- Banking
- Information technology
- Education
- Retail
- Ecommerce
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What are the top companies hiring Big Data professionals?
The top five companies hiring big data professionals are:
- IBM
- Microsoft
- Oracle
- Amazon
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