Ever since companies started to rely on data for making more informed decisions, the importance of big data has increased significantly. It is also driving the growing adoption of evolving technologies like artificial intelligence and machine learning. The big data analytics market is worth USD 12.8 billion in 2020 and expected to grow to USD 23.5 billion by 2025, growing at a CAGR of 13 percent from 2020 to 2025. But why should this matter to you? Well if you are a working professional or even a recent graduate and willing to make a career in the technology sector, then you should know about big data.
Big data simply refers to the massive amount of data that are too complex and varying to be analyzed by traditional data management tools. It also incorporates the technologies used to gather, manage, and analyze large data sets and solve complex business problems. There are 3 Vs of big data you’ll come across when someone starts to explore this term. These 3 vs are volume, velocity, and variety. The volume signifies the amount or quantity of data, velocity signifies how fast the data changes, and variety is all about different types or formats of data that is collected – structured, unstructured, text, images, audio, or video.
Data related roles like the data engineer, data scientist, data architect, and data analyst are one of the most in-demand professionals and earn high salaries. If you too wish to enter this promising career domain, then do what other professionals have already taken advantage of – a big data course. It can open your doors to many career opportunities available in the job market. As the internet today is flooded with information, you may find it difficult to get the right training provider for big data. As such, we have made it easier for you by selecting some of the best courses you can find to learn big data. The list is not exhaustive but spares you the effort you would otherwise put on researching a reliable source.
Big Data Engineer Master’s Program – Simplilearn
Simplilearn offers the Big Data course in collaboration with IBM. You’ll get a chance to learn all the major aspects of data engineering like Hadoop, Apache Spark, PySpark, Apache Kafka, and MongoDB. The course offers $1,200 worth of IBM cloud credits and exposure to over 15 real-world industry projects. What’s more, you’ll also learn how to host big data and perform distributed processing on the AWS platform as well as prepare for the AWS Certified Data Analytics – Specialty exam.
It consists of the following courses:
- Big Data for Data Engineering
- Big Data Hadoop and Spark Developer
- PySpark Training Course
- Apache Kafka
- MongoDB Developer and Administrator
- AWS Big Data Certification Training
- Big Data Capstone
Big Data Specialization – Coursera
This course is offered on the Coursera platform by the University of California, San Diego. The course spans over 8 months and helps you learn big data from scratch. The basics of MapReduce, Spark, Pig, and Hive are covered followed by predictive modeling and graph analytics. There are six courses included in this specialization:
- Introduction to Big Data
- Big Data Modeling and Management Systems
- Big Data Integration and Processing
- Machine Learning with Big Data
- Graph Analytics for Big Data
- Big Data – Capstone Project
Big Data MicroMasters® Program – EdX
The University of Adelaide has designed this big data program to help you understand how to design algorithms, data-driven problems, interpreting data representation and analysis, and using analytical tools like R and Java. The program duration is one year and one has to dedicate around 7 to 9 hours per week to complete it. There are five courses included in this MicroMasters program:
- Programming for Data Science
- Computational Thinking and Big Data
- Big Data Fundamentals
- Big Data Analytics
- Big Data Capstone Project
Data Engineer Nanodegree Program – Udacity
As described in the Udacity website, data engineering is the foundation for the new world of big data, and this course will help you learn how to build a production-ready data infrastructure. It is a 5-month program and one needs to spend around 5 to 10 hours per week. Intermediate Python and SQL knowledge is a prerequisite for the course. The following major topics are included in the nanodegree program:
- Data Engineering
- Data Modeling
- Cloud Data Warehouse
- Spark and Data Lakes
- Data Pipelines with Airflow
- Data Engineering Capstone
Big Data Courses – LinkedIn Learning
LinkedIn Learning is another popular training provider in the field of big data analytics. Unlike other providers, LinkedIn doesn’t offer an all-in-one big data course but rather offers individual courses like:
- Learning Data Analytics
- Big Data in the Age of AI
- Learn Apache Kafka for Beginners
- Learning Hadoop
All these are short term courses which easily fit into the busy schedule of working professionals. A separate certificate will be provided for each completed course.
Finally, you have a clear idea of what are the best resources available to you when you want to learn big data online. As data is being used in every part of our lives today, there is a huge requirement of skilled professionals who can make sense of it. Getting certified will demonstrate your seriousness regarding the field and grab the attention of the hiring managers. So upgrade yourself today and see the career benefits in no time.