---
product_id: 189532636
title: "Learning Spark: Lightning-Fast Data Analytics"
price: "637133Fr"
currency: CDF
in_stock: true
reviews_count: 13
url: https://congo.desertcart.com/products/189532636-learning-spark-lightning-fast-data-analytics
store_origin: CD
region: Congo
---

# Learning Spark: Lightning-Fast Data Analytics

**Price:** 637133Fr
**Availability:** ✅ In Stock

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- **What is this?** Learning Spark: Lightning-Fast Data Analytics
- **How much does it cost?** 637133Fr with free shipping
- **Is it available?** Yes, in stock and ready to ship
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## 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

Review: Well organized and solid information - 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!
Review: Covers theoretical and practical aspects of the spark ecosystem in great depth - 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.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #181,348 in Books ( See Top 100 in Books ) #20 in Mathematical & Statistical Software #21 in Java Programming #64 in Data Processing |
| Customer Reviews | 4.7 out of 5 stars 337 Reviews |

## Images

![Learning Spark: Lightning-Fast Data Analytics - Image 1](https://m.media-amazon.com/images/I/81qxKDZyIgL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Well organized and solid information
*by J***A on 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 A***Z on 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 C***S on 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

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*Product available on Desertcart Congo*
*Store origin: CD*
*Last updated: 2026-09-08*