Irfan Elahi
What if you could catapult your career in one of the most lucrative domains i.e. Big Data by learning the state of the art Hadoop technology (Apache Spark) which is considered mandatory in all of the current jobs in this industry?
What if you could develop your skill–set in one of the most hottest Big Data technology i.e. Apache Spark by learning in one of the most comprehensive course out there (with 10+ hours of content) packed with dozens of hands–on real world examples, use–cases, challenges and best–practices?
What if you could learn from an instructor who is working in the world’s largest consultancy firm, has worked, end–to–end, in Australia’s biggest Big Data projects to date and who has a proven track record on Udemy with highly positive reviews and thousands of students already enrolled in his previous course(s)?
If you have such aspirations and goals, then this course and you is a perfect match made in heaven!
Why Apache Spark?
Apache Spark has revolutionised and disrupted the way big data processing and machine learning were done by virtue of its unprecedented in–memory and optimised computational model. It has been unanimously hailed as the future of Big Data. It’s the tool of choice all around the world which allows data scientists, engineers and developers to acquire and process data for a number of use–cases like scalable machine learning, stream processing and graph analytics to name a few. All of the leading organisations like Amazon, Ebay, Yahoo among many others have embraced this technology to address their Big Data processing requirements.
Instructor Details
Courses : 2
Specification: Apache Spark Hands on Specialization for Big Data Analytics
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16 reviews for Apache Spark Hands on Specialization for Big Data Analytics
Add a review
| Price | $14.99 |
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| Provider | |
| Duration | 12 hours |
| Year | 2019 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
$14.99
Kamran Shakeel –
turned out to be quite a good course for learning spark and scala for beginners liek me
Vatsal Ajmera –
too much use of slang words and not clear explanations to those. should explain each technology if using them in the lectures
Mohsin Jahanzaib –
Have attended multiple courses on big data and spark but the approach in this course is quite in depth, clear and real life based. For many the details may appear to be a bit much but i think its necessary to develop thorough understanding of the concepts.
Rafal.Parol@Gmail.Com –
Too basic. More advanced stuff (for example Spark SQL (datasets, dataframes)) should be added and explained.
Bhabesh –
Fundamentals of RDD are well covered with examples. Good jump start in Scala.Cheers !
Marios Kolios –
Insightful seminar on Spark. Sometimes writing on the slides confuses.
Giovanni Scrivano –
I really liked the course, assigning a rating of 4.5 stars instead of 5 just because often what is written is confusing
Giovanni Scrivano –
I really liked the course, assigning a rating of 4.5 stars instead of 5 just because often what is written is confusing
Aravind –
The course is great for a beginner level. The concepts are explained in detail and in such a way that anyone can grasp it. But not many aspects of spark like dataframes and sparkSQL are covered in this course. It would have been great to have touch based on those too.
Jorge Rodrigo Blanco Jacob –
Los subtitulos autom ticos son muy imprecisos
Sudhanshu Bhalchandra Marwade –
Rate of speech is way too high, needs to slow down from a beginners point of view. Needs to be more specific in explaining components.
JayaAdityan Manmathan –
Content & delivery is good but repl window scrren is small and fonts too so it is totally uncomfortable to watch in PC and hopeless in mobile . Presentations could have been better.
Robert Lis –
Very interesting but instructor speaking too fast.
Despina Apostolidou –
Very well explained, thank you
Despina Apostolidou –
Very well explained, thank you
Rohith Reddy –
worst way of explaining things with the fast pace and untimely high pitch and low pitch of voice. sounds more like a company products webinar rather than an instructors course. and those visualizations used for explanations are with very small font size where ever it is necessary.