--- product_id: 189532636 title: "Learning Spark: Lightning-Fast Data Analytics" brand: "jules s. damji, brooke wenig, tathagata das, denny lee" price: "847 kr" currency: DKK in_stock: true reviews_count: 13 url: https://faroe.desertcart.com/products/189532636-learning-spark-lightning-fast-data-analytics store_origin: FO region: Faroe Islands --- # Learning Spark: Lightning-Fast Data Analytics **Brand:** jules s. damji, brooke wenig, tathagata das, denny lee **Price:** 847 kr **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Learning Spark: Lightning-Fast Data Analytics by jules s. damji, brooke wenig, tathagata das, denny lee - **How much does it cost?** 847 kr with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [faroe.desertcart.com](https://faroe.desertcart.com/products/189532636-learning-spark-lightning-fast-data-analytics) ## Best For - jules s. damji, brooke wenig, tathagata das, denny lee enthusiasts ## Why This Product - Trusted jules s. damji, brooke wenig, tathagata das, denny lee brand quality - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description Data is bigger, arrives faster, and comes in a variety of formatsâ??and it all needs to be processed at scale for analytics or machine learning. But how can you process such varied workloads efficiently? Enter Apache Spark. Updated to include Spark 3.0, this second edition shows data engineers and data scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine learning algorithms. Through step-by-step walk-throughs, code snippets, and notebooks, youâ??ll be able to: Learn Python, SQL, Scala, or Java high-level Structured APIs Understand Spark operations and SQL Engine Inspect, tune, and debug Spark operations with Spark configurations and Spark UI Connect to data sources: JSON, Parquet, CSV, Avro, ORC, Hive, S3, or Kafka Perform analytics on batch and streaming data using Structured Streaming Build reliable data pipelines with open source Delta Lake and Spark Develop machine learning pipelines with MLlib and productionize models using MLflow ## Technical Specifications | Specification | Value | |---------------|-------| | Dimensions | 7.25 x 1 x 9.25 inches | | Edition | 2nd | | Isbn 10 | 1492050040 | | Isbn 13 | 978-1492050049 | | Item Weight | 2.31 pounds | | Language | English | | Print Length | 397 pages | | Publication Date | August 25, 2020 | | Publisher | O'Reilly Media | ## Images ![Learning Spark: Lightning-Fast Data Analytics - Image 1](https://m.media-amazon.com/images/I/81qxKDZyIgL.jpg) ## Available Options This product comes in different **Format** options. ## Customer Reviews ### ⭐⭐⭐⭐⭐ Well organized and solid information *by on Reviewed in the United States September 4, 2020* It was easy to follow the book. The setup of Spark shell was also clearly written. I also find the instructions online to install spark locally to be sufficient as well. The book is well organized to delineate different components of Spark, e.g. intro, structured api, streaming, optimizations, data lake, ml deployment options. While ML deployment needs for individual business use cases are highly specific, I find the overview deployment framework provided by the book to be helpful. I also liked that the book uses screenshots of Spark UI and arrows to point in the screenshots to explain the UI, since the UI can be hard to understand. The code samples and the graphics in other sections are useful as well. There’s also coverage on how to connect to different apps, like beeline (which I’ve never heard of), tableau, thrift. Overall, the book contains solid information on the inner workings of Spark. I would recommend giving this book a read! ### ⭐⭐⭐⭐⭐ Covers theoretical and practical aspects of the spark ecosystem in great depth *by on Reviewed in the United States July 25, 2022* This book is a great resource to learn about spark. It covers in detail the concepts related to the Spark architecture, theoretical concepts about parallelization and topics related to optimizing analytical pipelines running on Spark. The book has a very nice section about the delta lake. Also covers MLflow yup a good level of detail, more like a complement to the docs. The section on machines learning includes theoretical explanations on how some ML algorithms change when running then parallely, as MLlib does.I used the book as an extra study resource when taking some Databricks certifications. It was a great addition to my study materials. ### ⭐⭐⭐⭐⭐ Buen libro para iniciarse en spark *by on Reviewed in the United States January 28, 2022* Da buenos ejemplos sea en Scala y python aunque no siempre están en python el lenguaje Scala es similar (como un Java python). Sugiere que si quieres practicar utiliza databricks si no quieres instalar nada on-premise o si gusta instala spark utilizando wsl de Windows o una máquina virtual con Linux. ## Frequently Bought Together - Learning Spark: Lightning-Fast Data Analytics - Spark: The Definitive Guide: Big Data Processing Made Simple - Fundamentals of Data Engineering: Plan and Build Robust Data Systems --- ## 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://faroe.desertcart.com/products/189532636-learning-spark-lightning-fast-data-analytics](https://faroe.desertcart.com/products/189532636-learning-spark-lightning-fast-data-analytics) --- *Product available on Desertcart Faroe Islands* *Store origin: FO* *Last updated: 2026-11-10*