Tuesday, 17 June 2025
4569-6038 BUY AT INSTAMOJO [Shipping Cost = Standard Mode, Expedite Mode] Practical Data Science...
- Easy Return Policy: 10 Days Read More
- Best Selling Items: Up to 60% Off View More
- Delivery Method: All India Delivery (1.55 Lakhs Pincode) TC
- Customer Support: Raise 24*7 Quick Complaint
- Use Coupon: Get 50% Off (Follow us on Facebook). View Offers
- Save More: Up to 30% off on Shipping Above ₹559* View Offers
- COD: Subscription: Rs.999 Yearly!. T/C Apply
Frequently bought together
1 Item
2
Add-ons
Total
Practical Data Science With Hadoop And Spark | By Ofer Mendelevitch & Casey Stella | Pearson Publication ( English Medium )
|
| 4569-6038 |
[Shipping Cost = Standard Mode, Expedite Mode]
Practical Data Science With Hadoop And Spark | By Ofer Mendelevitch & Casey Stella | Pearson Publication ( English Medium ).
Book Description:
Practical Data Science with Hadoop and Spark by Ofer Mendelevitch and Casey Stella is a hands-on guide for professionals and students who want to build scalable and efficient data science applications using modern Big Data technologies. The book bridges the gap between theoretical data science and real-world data processing by leveraging powerful open-source frameworks like Apache Hadoop, Apache Spark, and related tools in the Hadoop ecosystem.
Through practical use-cases and step-by-step examples, the book covers the entire data science workflow: from data ingestion and cleaning to model training, evaluation, and deployment. It is tailored for data scientists, engineers, and analysts working on distributed systems, machine learning, and data engineering tasks.
Key Features:
Integrated use of Hadoop and Spark – Practical workflows for scalable data science solutions.
Real-world case studies – Applied examples from domains like fraud detection, recommendation, and social media analytics.
Covers full data science lifecycle – Including data ingestion, preprocessing, model training, and evaluation.
Focus on distributed machine learning – Scalable algorithms implemented in Spark MLlib and Mahout.
Hands-on examples with code – Each chapter provides sample code, scripts, and tools for implementation.
Use of modern tools – Pig, Hive, HDFS, MapReduce, Spark SQL, MLlib, and more.
Ideal for both data engineers and data scientists – Bridges the software and analytical sides of big data.
Performance tuning and optimization tips – Learn how to write efficient and optimized Spark/Hadoop jobs.
Cloud and enterprise readiness – Concepts are cloud-compatible and scalable across distributed environments.
Suitable for self-learners and industry professionals – Clear structure and real use cases make it easy to adopt.
Search Key - Practical Data Science with Hadoop and Spark summary, , Ofer Mendelevitch data science book, , Casey Stella Hadoop Spark book review, , Hadoop and Spark for data scientists, , Data science using Apache Spark, , Big data analytics with Spark and Hadoop, , Practical data workflows Hadoop Spark, , Spark MLlib examples from book, , Hadoop ecosystem data science guide, , Real-world data science with Spark, , Spark machine learning book for beginners, , Hadoop data engineering case studies, , Best books for learning Spark and Hadoop, , Spark SQL and Hive integration guide, , Spark vs Hadoop for data science, , Apache Mahout examples from book, , Practical data processing pipelines, , Data science lifecycle Hadoop Spark, , MapReduce examples for data science, , Distributed machine learning Spark MLlib, , Pearson data science book with case studies, , Hands-on Spark data science tutorial, , Spark optimization techniques for data science, , Data science real projects with Hadoop, , Spark streaming real-time analytics book, , Pig and Hive in data science projects, , Hadoop data preprocessing for ML, , Big data modeling with Spark, , Recommended Spark books for professionals, , End-to-end data science using Hadoop and Spark, Language : English, Paperback : 256 pages, ISBN-10 : 0134024141, ISBN-13 : 978-0134024141.
Product Details
| SKU / BOOK Code: | Pearson-Data-Sci-Had-Spa-(E) |
| Publisher: | Pearson Publication |
| Author: | Ofer Mendelevitch & Casey Stella |
| Binding Type: | Paperback |
| No. of Pages: | 256 |
| ISBN-10: | 0134024141 |
| ISBN-13: | 978-0134024141 |
| Edition: | 1st Edition |
| Language: | English Medium |
| Publish Year: | 2025-06 |
| Weight (g): | 7000 |
| Product Condition: | New |
| Reading Age: | Above 10 Years |
| Country of Origin: | India |
| Genre: | Textbooks & Study Guides |
| Manufacturer: | Pearson Publication |
| Importer: | Pearson Publication |
| Packer: | Fullfilled by Supplier |
Product Description
Practical Data Science With Hadoop And Spark | By Ofer Mendelevitch & Casey Stella | Pearson Publication ( English Medium ).
Book Description:
Practical Data Science with Hadoop and Spark by Ofer Mendelevitch and Casey Stella is a hands-on guide for professionals and students who want to build scalable and efficient data science applications using modern Big Data technologies. The book bridges the gap between theoretical data science and real-world data processing by leveraging powerful open-source frameworks like Apache Hadoop, Apache Spark, and related tools in the Hadoop ecosystem.
Through practical use-cases and step-by-step examples, the book covers the entire data science workflow: from data ingestion and cleaning to model training, evaluation, and deployment. It is tailored for data scientists, engineers, and analysts working on distributed systems, machine learning, and data engineering tasks.
Key Features:
Integrated use of Hadoop and Spark – Practical workflows for scalable data science solutions.
Real-world case studies – Applied examples from domains like fraud detection, recommendation, and social media analytics.
Covers full data science lifecycle – Including data ingestion, preprocessing, model training, and evaluation.
Focus on distributed machine learning – Scalable algorithms implemented in Spark MLlib and Mahout.
Hands-on examples with code – Each chapter provides sample code, scripts, and tools for implementation.
Use of modern tools – Pig, Hive, HDFS, MapReduce, Spark SQL, MLlib, and more.
Ideal for both data engineers and data scientists – Bridges the software and analytical sides of big data.
Performance tuning and optimization tips – Learn how to write efficient and optimized Spark/Hadoop jobs.
Cloud and enterprise readiness – Concepts are cloud-compatible and scalable across distributed environments.
Suitable for self-learners and industry professionals – Clear structure and real use cases make it easy to adopt.
Search Key - Practical Data Science with Hadoop and Spark summary, , Ofer Mendelevitch data science book, , Casey Stella Hadoop Spark book review, , Hadoop and Spark for data scientists, , Data science using Apache Spark, , Big data analytics with Spark and Hadoop, , Practical data workflows Hadoop Spark, , Spark MLlib examples from book, , Hadoop ecosystem data science guide, , Real-world data science with Spark, , Spark machine learning book for beginners, , Hadoop data engineering case studies, , Best books for learning Spark and Hadoop, , Spark SQL and Hive integration guide, , Spark vs Hadoop for data science, , Apache Mahout examples from book, , Practical data processing pipelines, , Data science lifecycle Hadoop Spark, , MapReduce examples for data science, , Distributed machine learning Spark MLlib, , Pearson data science book with case studies, , Hands-on Spark data science tutorial, , Spark optimization techniques for data science, , Data science real projects with Hadoop, , Spark streaming real-time analytics book, , Pig and Hive in data science projects, , Hadoop data preprocessing for ML, , Big data modeling with Spark, , Recommended Spark books for professionals, , End-to-end data science using Hadoop and Spark, Language : English, Paperback : 256 pages, ISBN-10 : 0134024141, ISBN-13 : 978-0134024141.
Easy Return and Delivery Policy
Since EXAM360 SHOP (Open Store) is capable to deliver all Indian Pin-codes
which covers 1.55 Lakhs Pin-codes throughout India. While adding any item to
cart / purchasing anything through this website, users are requested to
enter the valid address with Name, C/O, House Name/No., Area / Locality,
City, District, Landmark, State, Pin-code, Mobile No, Email carefully. If
any issues occurred due to invalid / incomplete address in such cases
EXAM360 will not take any responsibility for the losses or damages.
We practice Easy Return / Exchange / Refund policy for Buyer Protection, So if you experience any difficulties like (Wrong Item delivered) with any of the product received, you can raise request under Return / Exchange Policy through the EXAM360 Customer support Portal i.e. https://support.exam360.in/ with valid details. Once our executive validate the case properly, we will take necessary steps as per the Policy Standard & we will be more than happy to help you to solve your issues ASAP.
While receiving the item from any of our courier partner, users are requested to check the packaging item properly, If you feel the item is delivering by the logistic partners in tampering conditions, we request our buyers not to accept the product & instantly make a call to the below mentioned HELPLINE Numbers. And, If you purchased an item that was not satisfactory, in such cases we will issue Return / Refund as per the current policy guidelines.
Selling Price & Shipping Fee: In Product details page we have clearly mentioned the Selling Price & Shipping Fees separately, So, when you click on "BUY NOW" You will be charges Selling Price + Shipping Fees. The Shipping fees may different for each products depends on the weight of the Product. The shipping cost includes the courier charges, packaging charges, transport charges, fuel charges and other charges. Sometimes the total payable amount may be different for Instamojo Payment Gateway. Buyers are requested to check before purchasing the products. After making the purchase we may not allow or consider users to modify.
- For more information about return policy CLICK HERE
- If you have questions about the product, please contact our dedicated Customer Support Team at ECG Portal.
We practice Easy Return / Exchange / Refund policy for Buyer Protection, So if you experience any difficulties like (Wrong Item delivered) with any of the product received, you can raise request under Return / Exchange Policy through the EXAM360 Customer support Portal i.e. https://support.exam360.in/ with valid details. Once our executive validate the case properly, we will take necessary steps as per the Policy Standard & we will be more than happy to help you to solve your issues ASAP.
While receiving the item from any of our courier partner, users are requested to check the packaging item properly, If you feel the item is delivering by the logistic partners in tampering conditions, we request our buyers not to accept the product & instantly make a call to the below mentioned HELPLINE Numbers. And, If you purchased an item that was not satisfactory, in such cases we will issue Return / Refund as per the current policy guidelines.
Selling Price & Shipping Fee: In Product details page we have clearly mentioned the Selling Price & Shipping Fees separately, So, when you click on "BUY NOW" You will be charges Selling Price + Shipping Fees. The Shipping fees may different for each products depends on the weight of the Product. The shipping cost includes the courier charges, packaging charges, transport charges, fuel charges and other charges. Sometimes the total payable amount may be different for Instamojo Payment Gateway. Buyers are requested to check before purchasing the products. After making the purchase we may not allow or consider users to modify.
- For more information about return policy CLICK HERE
- If you have questions about the product, please contact our dedicated Customer Support Team at ECG Portal.
Delivery Information
EXAM360 SHOP is capable to deliver All India Pin-codes by the govt.
recognised courier partners with full security.
Generally the courier partner support delivery during business hours (9:00 - 20:00) Mon - Sat: Fedex, Trackon, Gati, Delhivery, Indian Post.
The actual delivery time may differ from the given Estimated timeline. For more information on delivery time and shipping charges, please refer to our dedicated support team through ECG Portal.
Note: Expected Delivery time may differ from the Estimated or Projected delivery time & it does not include holidays.
Generally the courier partner support delivery during business hours (9:00 - 20:00) Mon - Sat: Fedex, Trackon, Gati, Delhivery, Indian Post.
The actual delivery time may differ from the given Estimated timeline. For more information on delivery time and shipping charges, please refer to our dedicated support team through ECG Portal.
Note: Expected Delivery time may differ from the Estimated or Projected delivery time & it does not include holidays.
Subscribe to:
Post Comments (Atom)
.png)
.png)
.png)
.png)
.png)
.png)
No comments:
Post a Comment