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Apache Spark is a unified analytics engine that is used in processing and analysing big data. it has started to gain recognition within large organisations for its speed, ease of use, standard interface and real-time data processing features, and could pose a great advantage in getting into the data analysis or data science field of work. If you came here wanting to learn advanced analytics and real time processing in Apache Spark, you are heading the right way with this course, as this course is set to educate you on all the aspects of Apache Spark to start processing and analysing big data.
This professionally narrated course will start off by diving into the architecture and components of Spark streaming to educate you on how it can be used in generating final data batches. You will then move onto explore the use cases of spark streaming application to use it appropriately with the suitable engine, along with an insight into the spark streaming word count problem and spark streaming API. The stressful task of managing events that are not in order while building streaming applications will also be given due attention through this course.
Out highly talented tutors will then guide you on how to create a project using the Spark’s MLlib library to provide you a more hand-on experience with the framework. You will then move onto explore the components and operations of Spark GraphX to create graphs using it for analysis purposes, followed by a chapter on SparkR and its role in distributed data frame implementation. To top it all off, you will also be taught on how to send real-time notifications when a user wants to buy a product from an e-commerce site. By the completion of this course, you will have a great grip on Apache Spark to make use of its advanced analytics and real-time data processing aspects in your career.
The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course. The course is self-paced and you can complete it in stages, revisiting the lectures at any time.
- Spark streaming
- Advance streaming and use cases
- Spark mllib and ml pipelines
- Spark graphx
- Performing spark graphx operations
- Analytical use cases
Method Of Assessment
The course is assessed online with a final, multiple-choice test, which is marked automatically. You will know instantly whether you have passed the course.
Those who pass this test will get a certificate in Advanced Analytics and Real-Time Data Processing with Apache Spark
Who is this course for?
This course might interest individuals looking to master advanced analytics and real-time data processing to get into or progress within the data analysis or data science field of work
- Learners must be age 16 or over and should have basic understanding of the English Language, numeracy, literacy and ICT.
- A basic knowledge of the spark programming, Apache Spark and real-time data processing is required to follow up on this course
- Data analyst – £25,972 per annum
- Data scientist – £35,226 per annum
- Data Manager – £29,986 per annum
- Data analysis manager – £37,349 per annum
- Data engineer – £41,223 per annum
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