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- 86% Apache Spark Hands on Specialization for Big Data Analytics

Apache Spark Hands on Specialization for Big Data Analytics

$12.99Track price

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8.8/10 (Our Score)
Product is rated as #10 in category Big Data

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

A full stack scalable analytics specialist, working in the world's largest consultancy firm in Australia, with a growing portfolio of successful projects delivering substantial impact and value in multiple capacities across telecom, retail, energy and health-care sectors. Additionally: Artificial Intelligence (AI) stream-lead in Deloitte Australia's Azure Enablement Initiative Member of Deloitte Australia's ClearLight initiative managing AWS and Azure platform for enablement and assets prototyping Trainer of Deloitte's internal Data Science training program Author of Scala Programming for Big Data Analytics book published by Apress Technical reviewer of Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala, and Spark book published by Apress Instructor of Apache Spark and R Programming courses on Udemy with thousands of students enrolled from all around the world Designated author of the largest Data Science publication (Towards Data Science) on Medium Speaker at DataWorks Summit in 2017 in Sydney on in-memory Big Data Technologies Speaker in Data Analytics Explained meetup and in multiple universities all around the world

Specification: Apache Spark Hands on Specialization for Big Data Analytics

Duration

12 hours

Year

2019

Level

All

Certificate

Yes

Quizzes

Yes

16 reviews for Apache Spark Hands on Specialization for Big Data Analytics

3.7 out of 5
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  1. Kamran Shakeel

    turned out to be quite a good course for learning spark and scala for beginners liek me

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  2. Vatsal Ajmera

    too much use of slang words and not clear explanations to those. should explain each technology if using them in the lectures

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  3. 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.

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  4. Rafal.Parol@Gmail.Com

    Too basic. More advanced stuff (for example Spark SQL (datasets, dataframes)) should be added and explained.

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  5. Bhabesh

    Fundamentals of RDD are well covered with examples. Good jump start in Scala.Cheers !

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  6. Marios Kolios

    Insightful seminar on Spark. Sometimes writing on the slides confuses.

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  7. 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

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  8. 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

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  9. 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.

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  10. Jorge Rodrigo Blanco Jacob

    Los subtitulos autom ticos son muy imprecisos

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  11. 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.

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  12. 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.

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  13. Robert Lis

    Very interesting but instructor speaking too fast.

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  14. Despina Apostolidou

    Very well explained, thank you

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  15. Despina Apostolidou

    Very well explained, thank you

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  16. 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.

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    Apache Spark Hands on Specialization for Big Data Analytics
    Apache Spark Hands on Specialization for Big Data Analytics

    $12.99

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