--- product_id: 71907580 title: "Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning" brand: "valliappa lakshmanan" price: "₨42223" currency: LKR in_stock: true reviews_count: 13 url: https://www.desertcart.lk/products/71907580-data-science-on-the-google-cloud-platform-implementing-end-to store_origin: LK region: Sri Lanka --- # Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning **Brand:** valliappa lakshmanan **Price:** ₨42223 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning by valliappa lakshmanan - **How much does it cost?** ₨42223 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.lk](https://www.desertcart.lk/products/71907580-data-science-on-the-google-cloud-platform-implementing-end-to) ## Best For - valliappa lakshmanan enthusiasts ## Why This Product - Trusted valliappa lakshmanan brand quality - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning ## Images ![Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning - Image 1](https://m.media-amazon.com/images/I/81gT4lP7A4L.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ 5.0 out of 5 stars A very good book on data science, that also covers Google Cloud Platform *by H***K on Reviewed in the United States on November 29, 2019* I knew this book for me just a few pages into the first chapter. This book by Lake is unlike many other books of data science and particular technology that just enumerate the how-to's of the particular technology. Lak starts with a concrete user problem strongly anchored in probabilistic outcomes, and then steps through a typical data science process of discovery, refinement, and then converting to a production pipeline. While teaching about GCP technologies along the way, the book stays strongly anchored in the original user-problem. There is not a corner of GCP that is needed for a full production data science product that goes untouched in this book. The material is well covered, with pointers to deeper material and user manuals.I received the first edition. As GCP technology evolved, Lak was posting updates to his blog on Medium so that everyone could take understand the updates to GCP and how to use them. I was pleasantly surprised by getting these updates and made having the book that much more valuable. ### ⭐⭐⭐⭐⭐ 5.0 out of 5 stars If all you care about is the answer and not why, buy another book *by J***E on Reviewed in the United States on August 2, 2019* While Lak’s conversational style can be a turn off to some who just want an answer and don’t care about how, I liked this book. Many times with books like this you get an answer or a recipe and you’re done. What happens when your answer or recipe isn’t right for the situation? I’m glad Lak explains his rationale and let’s it be known that there’s more than one way to do it. Could the book have been condensed without the explanations? Yes. Would it have been like almost every other book in the space? Yes. Check out this book if you want a well thought out answer and maybe alternates. If you just want the “right answer”, then buy something else. ### ⭐⭐⭐⭐⭐ 5.0 out of 5 stars Data analysis and engineering is democratized for all *by D***S on Reviewed in the United States on January 16, 2018* Wow. A true tour of data science and engineering on the cloud.It's been a few years since I've worked with tools in this field, but this book was a clear level-headed view for data engineers looking to derive and drive insights from data. Using a core example use case and following it end to end through the entire book (and indeed cloud tools integrated with each other) helped me keep track of what was going on, and kept things from becoming a book on theory rather than one of accomplishment and answers. The purpose and process for each tool was clear, and I also appreciated the explanations of trade-offs and the value added for the choices made. The practice of data science is a LOT easier now with cloud/serverless tools than eight or nine years ago, and I feel this brought me back to the state of the art. --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.lk/products/71907580-data-science-on-the-google-cloud-platform-implementing-end-to](https://www.desertcart.lk/products/71907580-data-science-on-the-google-cloud-platform-implementing-end-to) --- *Product available on Desertcart Sri Lanka* *Store origin: LK* *Last updated: 2026-05-19*