The Big Data and Hadoop Training in Chicago will equip you with in-depth knowledge of Big Data’s framework using tools such as Hadoop and Spark. This Big Data and Hadoop training in Chicago presents learners with the chance to work with the Integrated Lab to work on practical, industry-themed tasks. This gives students authentic Big Data work experience.
Lifetime access to self-paced e learning content
Your career could get a big boost from taking Big Data and Hadoop Training in Chicago. Consider that the global HADOOP-AS-A-SERVICE (HAAS) Market in 2019 was an impressive USD 7.35 Billion. Experts forecast the market to grow at a CAGR of 39.3%, rising to USD 74.84 Billion by 2026. Professionals who want to stay competitive in the industry will benefit from Big Data and Hadoop Training in Chicago.
Online Classroom:
Online Self-Learning:
To become Certified Big Data Hadoop Developer, you must fulfill both of the following criteria:
Simplilearn’s Hadoop Certifications Training in Chicago is Classroom Flexi-Pass Learning Methodology that has a validity of 180 days (6 months) of high-quality e-learning videos, Self-paced learning Content plus 90 days of access to 9+ instructor-led online training classes.
Simplilearn’s Hadoop Certification course in Chicago is priced at $799 for Online Classroom Flexi-Pass.
There are no prerequisites for learning this course. However, knowledge of Core Java and SQL will be beneficial, but certainly not a mandate. If you wish to brush up your Core-Java skills, Simplilearn offers a complimentary self-paced course "Java essentials for Hadoop" when you enroll for this course. For Spark, this course uses Python and Scala, and an e-book is provided to support your learning.
It takes around 45-50 hours to successfully complete the Big Data and Hadoop training in Chicago.
Big data refers to a collection of extensive data sets, including structured, unstructured, and semi-structured data coming from various data sources and having different formats.These data sets are so complex and broad that they can't be processed using traditional techniques. When you combine big data with analytics, you can use it to solve business problems and make better decisions.
Hadoop is an open-source framework that allows organizations to store and process big data in a parallel and distributed environment. It is used to store and combine data, and it scales up from one server to thousands of machines, each offering low-cost storage and local computation.
Spark is an open-source framework that provides several interconnected platforms, systems, and standards for big data projects. Spark is considered by many to be a more advanced product than Hadoop.
There are basically three concepts associated with Big Data - Volume, Variety, and Velocity. The volume refers to the amount of data we generate which is over 2.5 quintillion bytes per day, much larger than what we generated a decade ago. Velocity refers to the speed with which we receive data, be it real-time or in batches. Variety refers to the different formats of data like images, text, or videos.
Hadoop is one of the leading technological frameworks being widely used to leverage big data in an organization. Taking your first step toward big data is really challenging. Therefore, we believe it’s important to learn the basics about the technology before you pursue your certification. Simplilearn provides free resource articles, tutorials, and YouTube videos to help you to understand the Hadoop ecosystem and cover your basics. Our extensive course on Big Data Hadoop certification training will get you started with big data.
Yes, you can learn Hadoop without being from a software background. We provide complimentary courses in Java and Linux so that you can brush up on your programming skills. This will help you in learning Hadoop technologies better and faster.