Share your certificate with prospective employers and your professional network on LinkedIn.
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.
Global Hadoop market as per Allied Market Research
For Hadoop data analysts by 2021
Professionals should be familiar with Core Java and SQL before taking this Hadoop and Spark basics program.
Beginners today usually look for online resources to learn Spark and Hadoop. While textual content is easily available over the internet, this Hadoop and Spark free course offers comprehensive video modules to further enrich your learning experience.
This Hadoop basics course offers 11 hours of in-depth and high-quality video lessons that you can follow at your preferred learning speed. You can access the course 24/7 and return to any previous lesson for better understanding.
It is recommended to first get an overview of big data, the four Vs of big data, and the reasons why distributed systems were introduced in this Spark basics program.
The instructors of this Hadoop basics program have explained all the concepts from scratch with an easily understandable approach. Anyone having a technical background can easily follow the lessons.
Learners enrolling in this Hadoop and Spark fundamentals program are guided in basics like introduction to big data analytics, the components of Hadoop ecosystem, and the Hadoop architecture.
Hadoop is an open-source software framework for data storage. It also enables applications to run on commodity hardware. It gained popularity over the years for its high-capacity storage, processing power, and the ability to multitask unlimited jobs.
Originally developed at UC Berkeley, Apache Spark is an extremely powerful and fast analytics engine for big data and machine learning. It is used for processing enormous amounts of data via in-memory caching and optimized query execution.
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.
Hadoop and Spark are among the most preferred big data frameworks. Hadoop allows batch processing with huge volumes of data and Spark speeds up the Hadoop computational computing software process. As such, companies find Hadoop and Spark useful in accomplishing many Big Data related tasks.
It is recommended to learn Hadoop and Spark together because their distinct individualities are interlinked in multiple ways. While Hadoop reads and writes files for the HDFS, Spark takes over the data processing in RAM using a Resilient Distributed Dataset (RDD). However, Spark can run independently or along with a Hadoop cluster as the data source. From a skill point of view, hiring managers and companies are particularly interested in professionals who are well-versed in both Hadoop and Spark.
Yes, You will receive a Course Completion Certificate from SkillUp upon completing the Hadoop and Spark basics program. You can unlock it by logging in to your SkillUp account. As soon as the certificate is unlocked, you will receive a mail with a link to your SkillUp learning dashboard on your registered mail address. Click the link to view and download your certificate. You can even add the certificate to your resume and share it on social media platforms.
Professionals who learn Hadoop and Spark open their doors to many job opportunities in the field of big data analytics. Business analyst, big data engineer, analytics manager, and data architect are some of the popular job roles in this field that one can target after learning Hadoop basics.
You can learn Hadoop and Spark if you are one among the following:
Yes, the video modules of this Hadoop and Spark basics program are easy to grasp and you can complete them within 90 days.
I really enjoyed the course. It was well-planned and easy for me to follow. The workload was just right and I could finish everything in time without feeling rushed.
Great to see that this amazing course is free! The learning structure is so compact and easy and the instruction was detailed. The examples and practices sessions were insightful and I am happy to complete the course.
I really enjoyed practising with the projects in every lesson! I think that applying the course's theory through real-life examples is the perfect way to understand better.