£41.49
  • RRP: £45.99
  • You Save: £4.50 (10%)
FREE Delivery in the UK.
In stock.
Dispatched from and sold by Amazon. Gift-wrap available.
Mastering Spark for Data ... has been added to your Basket
Have one to sell?
Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more
See all 2 images

Mastering Spark for Data Science Paperback – 29 Mar 2017

5.0 out of 5 stars 1 customer review

See all 2 formats and editions Hide other formats and editions
Amazon Price
New from Used from
Kindle Edition
"Please retry"
Paperback
"Please retry"
£41.49
£41.49 £57.99
Note: This item is eligible for click and collect. Details
Pick up your parcel at a time and place that suits you.
  • Choose from over 13,000 locations across the UK
  • Prime members get unlimited deliveries at no additional cost
How to order to an Amazon Pickup Location?
  1. Find your preferred location and add it to your address book
  2. Dispatch to this address when you check out
Learn more

Man Booker International Prize Shortlist 2017
Take a look at our selection of Man Booker International Prize 2017 shortlisted books. Learn more
£41.49 FREE Delivery in the UK. In stock. Dispatched from and sold by Amazon. Gift-wrap available.
click to open popover

Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
  • Android
  • Windows Phone

To get the free app, enter your mobile phone number.



Product details

  • Paperback: 560 pages
  • Publisher: Packt Publishing (29 Mar. 2017)
  • Language: English
  • ISBN-10: 1785882147
  • ISBN-13: 978-1785882142
  • Product Dimensions: 19 x 3.2 x 23.5 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 51,616 in Books (See Top 100 in Books)
  • If you are a seller for this product, would you like to suggest updates through seller support?

Product description

About the Author

Andrew Morgan

Andrew Morgan is a specialist in data strategy and its execution, and has deep experience in the supporting technologies, system architecture, and data science that bring it to life. With over 20 years of experience in the data industry, he has worked designing systems for some of its most prestigious players and their global clients – often on large, complex and international projects. In 2013, he founded ByteSumo Ltd, a data science and big data engineering consultancy, and he now works with clients in Europe and the USA. Andrew is an active data scientist, and the inventor of the TrendCalculus algorithm. It was developed as part of his ongoing research project investigating long-range predictions based on machine learning the patterns found in drifting cultural, geopolitical and economic trends. He also sits on the Hadoop Summit EU data science selection committee, and has spoken at many conferences on a variety of data topics. He also enjoys participating in the Data Science and Big Data communities where he lives in London.



Antoine Amend

Antoine Amend is a data scientist passionate about big data engineering and scalable computing. The book's theme of torturing astronomical amounts of unstructured data to gain new insights mainly comes from his background in theoretical physics. Graduating in 2008 with a Msc. in Astrophysics, he worked for a large consultancy business in Switzerland before discovering the concept of big data at the early stages of Hadoop. He has embraced big data technologies ever since, and is now working as the Head of Data Science for cyber security at Barclays Bank. By combining a scientific approach with core IT skills, Antoine qualified two years running for the Big Data World Championships finals held in Austin TX. He Placed in the top 12 in both 2014 and 2015 edition (over 2000+ competitors) where he additionally won the Innovation Award using the methodologies and technologies explained in this book.



David George

David George is a distinguished distributed computing expert with 15+ years of data systems experience, mainly with globally recognized IT consultancies and brands. Working with core Hadoop technologies since the early days, he has delivered implementations at the largest scale. David always takes a pragmatic approach to software design and values elegance in simplicity. Today he continues to work as a lead engineer, designing scalable applications for financial sector customers with some of the toughest requirements. His latest projects focus on the adoption of advanced AI techniques for increasing levels of automation across knowledge-based industries.



Matthew Hallett

Matthew Hallett is a Software Engineer and Computer Scientist with over 15 years of industry experience. He is an expert Object Oriented programmer and systems engineer with extensive knowledge of low level programming paradigms and, for the last 8 years, has developed an expertise in Hadoop and distributed programming within mission critical environments, comprising multithousandnode data centres. With consultancy experience in distributed algorithms and the implementation of distributed computing architectures, in a variety of languages, Matthew is currently a Consultant Data Engineer in the Data Science & Engineering team at a top four audit firm.

Customer Reviews

5.0 out of 5 stars
5 star
1
4 star
0
3 star
0
2 star
0
1 star
0
See the customer review
Share your thoughts with other customers

Top Customer Reviews

Format: Kindle Edition
Very useful and well written guide to this rapidly maturing technology. The authors are obviously hands on practitioners and provide some detailed useful knowledge.
Comment 4 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse

Look for similar items by category