Data Engineering with Apache Spark, Delta Lake, and Lakehouse

Data Engineering with Apache Spark, Delta Lake, and Lakehouse
Author :
Publisher : Packt Publishing Ltd
Total Pages : 480
Release :
ISBN-10 : 9781801074322
ISBN-13 : 1801074321
Rating : 4/5 (22 Downloads)

Book Synopsis Data Engineering with Apache Spark, Delta Lake, and Lakehouse by : Manoj Kukreja

Download or read book Data Engineering with Apache Spark, Delta Lake, and Lakehouse written by Manoj Kukreja and published by Packt Publishing Ltd. This book was released on 2021-10-22 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand the complexities of modern-day data engineering platforms and explore strategies to deal with them with the help of use case scenarios led by an industry expert in big data Key FeaturesBecome well-versed with the core concepts of Apache Spark and Delta Lake for building data platformsLearn how to ingest, process, and analyze data that can be later used for training machine learning modelsUnderstand how to operationalize data models in production using curated dataBook Description In the world of ever-changing data and schemas, it is important to build data pipelines that can auto-adjust to changes. This book will help you build scalable data platforms that managers, data scientists, and data analysts can rely on. Starting with an introduction to data engineering, along with its key concepts and architectures, this book will show you how to use Microsoft Azure Cloud services effectively for data engineering. You'll cover data lake design patterns and the different stages through which the data needs to flow in a typical data lake. Once you've explored the main features of Delta Lake to build data lakes with fast performance and governance in mind, you'll advance to implementing the lambda architecture using Delta Lake. Packed with practical examples and code snippets, this book takes you through real-world examples based on production scenarios faced by the author in his 10 years of experience working with big data. Finally, you'll cover data lake deployment strategies that play an important role in provisioning the cloud resources and deploying the data pipelines in a repeatable and continuous way. By the end of this data engineering book, you'll know how to effectively deal with ever-changing data and create scalable data pipelines to streamline data science, ML, and artificial intelligence (AI) tasks. What you will learnDiscover the challenges you may face in the data engineering worldAdd ACID transactions to Apache Spark using Delta LakeUnderstand effective design strategies to build enterprise-grade data lakesExplore architectural and design patterns for building efficient data ingestion pipelinesOrchestrate a data pipeline for preprocessing data using Apache Spark and Delta Lake APIsAutomate deployment and monitoring of data pipelines in productionGet to grips with securing, monitoring, and managing data pipelines models efficientlyWho this book is for This book is for aspiring data engineers and data analysts who are new to the world of data engineering and are looking for a practical guide to building scalable data platforms. If you already work with PySpark and want to use Delta Lake for data engineering, you'll find this book useful. Basic knowledge of Python, Spark, and SQL is expected.


Data Engineering with Apache Spark, Delta Lake, and Lakehouse Related Books

Data Engineering with Apache Spark, Delta Lake, and Lakehouse
Language: en
Pages: 480
Authors: Manoj Kukreja
Categories: Computers
Type: BOOK - Published: 2021-10-22 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Understand the complexities of modern-day data engineering platforms and explore strategies to deal with them with the help of use case scenarios led by an indu
Building the Data Lakehouse
Language: en
Pages: 256
Authors: Bill Inmon
Categories:
Type: BOOK - Published: 2021-10 - Publisher: Technics Publications

DOWNLOAD EBOOK

The data lakehouse is the next generation of the data warehouse and data lake, designed to meet today's complex and ever-changing analytics, machine learning, a
Optimizing Databricks Workloads
Language: en
Pages: 230
Authors: Anirudh Kala
Categories: Computers
Type: BOOK - Published: 2021-12-24 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Accelerate computations and make the most of your data effectively and efficiently on Databricks Key FeaturesUnderstand Spark optimizations for big data workloa
Essential PySpark for Scalable Data Analytics
Language: en
Pages: 322
Authors: Sreeram Nudurupati
Categories: Computers
Type: BOOK - Published: 2021-10-29 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Get started with distributed computing using PySpark, a single unified framework to solve end-to-end data analytics at scale Key FeaturesDiscover how to convert
Beginning Apache Spark Using Azure Databricks
Language: en
Pages: 281
Authors: Robert Ilijason
Categories: Business & Economics
Type: BOOK - Published: 2020-06-11 - Publisher: Apress

DOWNLOAD EBOOK

Analyze vast amounts of data in record time using Apache Spark with Databricks in the Cloud. Learn the fundamentals, and more, of running analytics on large clu