[LEGACY-SUPPORT END] Spark SQL & Hadoop (For Data Science)

*Important Notice*This course has been retired and is no longer receiving support. Originally designed to help students pass the now-retired Cloudera Certification exams, the material remains useful for those wanting to practice their skills on Spark and Hadoop clusters. However, its primary focus was certification preparation, which many students successfully completed.

Apache Spark is currently one of the most popular systems for processing big data. Apache Hadoop continues to be used by many organizations that look to store data locally on premises. Hadoop allows these organisations to efficiently store big datasets ranging in size from gigabytes to petabytes.

As the number of vacancies for data science, big data analysis and data engineering roles continue to grow, so too will the demand for individuals that possess knowledge of Spark and Hadoop technologies to fill these vacancies. This course has been designed specifically for data scientists, big data analysts and data engineers looking to leverage the power of Hadoop and Apache Spark to make sense of big data. This course will help those individuals that are looking to interactively analyse big data or to begin writing production applications to prepare data for further analysis using Spark SQL in a Hadoop environment.

The course is also well suited for university students and recent graduates that are keen to gain exposure to Spark & Hadoop or anyone who simply wants to apply their SQL skills in a big data environment using Spark-SQL. This course has been designed to be concise and to provide students with a necessary and sufficient amount of theory, enough for them to be able to use Hadoop & Spark without getting bogged down in too much theory about older low-level APIs such as RDDs. On solving the questions contained in this course students will begin to develop those skills & the confidence needed to handle real world scenarios that come their way in a production environment.