Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Optimizing Databricks Workloads
Optimizing Databricks Workloads

Optimizing Databricks Workloads: Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads

Arrow left icon
Profile Icon Anirudh Kala Profile Icon Bhatnagar Profile Icon Sarbahi
Arrow right icon
£32.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.1 (13 Ratings)
Paperback Dec 2021 230 pages 1st Edition
eBook
£26.99
Paperback
£32.99
Subscription
Free Trial
Renews at £9.99p/m
Arrow left icon
Profile Icon Anirudh Kala Profile Icon Bhatnagar Profile Icon Sarbahi
Arrow right icon
£32.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.1 (13 Ratings)
Paperback Dec 2021 230 pages 1st Edition
eBook
£26.99
Paperback
£32.99
Subscription
Free Trial
Renews at £9.99p/m
eBook
£26.99
Paperback
£32.99
Subscription
Free Trial
Renews at £9.99p/m

What do you get with Print?

Product feature icon Instant access to your digital copy whilst your Print order is Shipped
Product feature icon Paperback book shipped to your preferred address
Product feature icon Redeem a companion digital copy on all Print orders
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Shipping Address

Billing Address

Shipping Methods

Key benefits

  • Understand Spark optimizations for big data workloads and maximizing performance
  • Build efficient big data engineering pipelines with Databricks and Delta Lake
  • Efficiently manage Spark clusters for big data processing

Description

Databricks is an industry-leading, cloud-based platform for data analytics, data science, and data engineering supporting thousands of organizations across the world in their data journey. It is a fast, easy, and collaborative Apache Spark-based big data analytics platform for data science and data engineering in the cloud. In Optimizing Databricks Workloads, you will get started with a brief introduction to Azure Databricks and quickly begin to understand the important optimization techniques. The book covers how to select the optimal Spark cluster configuration for running big data processing and workloads in Databricks, some very useful optimization techniques for Spark DataFrames, best practices for optimizing Delta Lake, and techniques to optimize Spark jobs through Spark core. It contains an opportunity to learn about some of the real-world scenarios where optimizing workloads in Databricks has helped organizations increase performance and save costs across various domains. By the end of this book, you will be prepared with the necessary toolkit to speed up your Spark jobs and process your data more efficiently.

Who is this book for?

This book is for data engineers, data scientists, and cloud architects who have working knowledge of Spark/Databricks and some basic understanding of data engineering principles. Readers will need to have a working knowledge of Python, and some experience of SQL in PySpark and Spark SQL is beneficial.

What you will learn

  • Get to grips with Spark fundamentals and the Databricks platform
  • Process big data using the Spark DataFrame API with Delta Lake
  • Analyze data using graph processing in Databricks
  • Use MLflow to manage machine learning life cycles in Databricks
  • Find out how to choose the right cluster configuration for your workloads
  • Explore file compaction and clustering methods to tune Delta tables
  • Discover advanced optimization techniques to speed up Spark jobs
Estimated delivery fee Deliver to Great Britain

Standard delivery 1 - 4 business days

£4.95

Premium delivery 1 - 4 business days

£7.95
(Includes tracking information)

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 24, 2021
Length: 230 pages
Edition : 1st
Language : English
ISBN-13 : 9781801819077
Vendor :
Databricks , Microsoft
Category :
Languages :
Concepts :

What do you get with Print?

Product feature icon Instant access to your digital copy whilst your Print order is Shipped
Product feature icon Paperback book shipped to your preferred address
Product feature icon Redeem a companion digital copy on all Print orders
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Shipping Address

Billing Address

Shipping Methods
Estimated delivery fee Deliver to Great Britain

Standard delivery 1 - 4 business days

£4.95

Premium delivery 1 - 4 business days

£7.95
(Includes tracking information)

Product Details

Publication date : Dec 24, 2021
Length: 230 pages
Edition : 1st
Language : English
ISBN-13 : 9781801819077
Vendor :
Databricks , Microsoft
Category :
Languages :
Concepts :

Packt Subscriptions

See our plans and pricing
Modal Close icon
£9.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
£99.99 billed annually
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just £5 each
Feature tick icon Exclusive print discounts
£139.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just £5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total £ 111.97
Azure Databricks Cookbook
£41.99
Data Engineering with Apache Spark, Delta Lake, and Lakehouse
£36.99
Optimizing Databricks Workloads
£32.99
Total £ 111.97 Stars icon
Visually different images

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.1
(13 Ratings)
5 star 30.8%
4 star 61.5%
3 star 0%
2 star 0%
1 star 7.7%
Filter icon Filter
Top Reviews

Filter reviews by




A Jan 17, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book gave me whole new prospective in addressing few of the challenges that I was facing. The authors have put a lot of thought into making this book useful to address real world challenges and it's well done. This book also provides detailed insights about the data lake and the spark.
Amazon Verified review Amazon
Kindle Customer Sep 09, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I recommend this book for beginners or intermediate users, as it not only covers the basics, but tries to go deeper into theory that not everyone knows even if they already use Databricks.
Amazon Verified review Amazon
Emily Jan 07, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
As a data scientist building a full-stack data pipeline (extraction to analysis), Databricks is my “bread and butter” in terms of tools - I use SQL, Python, and Spark daily. As I write this, I worked through CHs 2, 4, and 7 (data processing topics) and am so glad I got this book. I just built an ELT pipeline for my Databricks workflow and this book was an excellent resource (especially since online documentation is somewhat limited and still growing). I am starting to work through CHs 5 and 3 (ML and analytics topics) as I build the 2nd half of the pipeline. So far it’s very helpful. I like this author’s style of presenting information so have recommended this book and their other books to both data scientists and data engineers.
Amazon Verified review Amazon
Subhasish Ghosh Jan 19, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Having read this book, must say, this is one of the best books authored on Azure Databricks in the market today. A few salient points:- Personally, there are very very few people whom I truly, deeply and sincerely admire & respect based on their combination of solid technical expertise, customer centricity + focus & ability to deliver complex projects under pressing timelines having worked across multiple projects across multiple continents, these past 15+ years. Anirudh Kala & Anshul Bhatnagar, both with Celebal Technologies, both of whom I have had the opportunity of working day & night on some supremely complex Azure projects past 2+ years - I can say, first-hand from my personal experience - are both probably the 2 best Technical Experts on Azure Databricks in India, and to write on this topic.- Secondly, I read through the eBook version of the book. It is straight to the point, matter of fact concepts explained, with code to execute wherein relevant.a) Core concepts including Delta Lake, core differences between parquet, avro & orc, Batch ETL process stages, Spark Structured Streaming WALs, MLflow, GraphFrames are well explained.b) Optimizing Databricks strategies and solutions are all excellent to save your precious DBUs (== dollars) and getting the best performance. Loved the section on 'column predicate pushdown' as an optimization technique.c) The chapter on Spark Core Performance Tuning is simply fantastic. Every Databricks Developer/Expert ought to know all these points by heart.- The chapter on Case Studies is excellent. Am very happy and proud to see that a few projects wherein I have had the opportunity of collaborating with the Authors on delivering some solid complex projects are mentioned therein... very proud of some of the work we have done in 2019-2021.- In summary, I strongly recommend getting this book if you're aspiring to or already a professional Data Engineer and/or Data Scientist and/or Data Analyst and/or Data Architects. Big Data is a truth today, and a solid grasp of Databricks, and how to optimize Spark workloads on Databricks for different use-cases efficiently, is a mandatory must.Once again, thank you to the authors for the wonderful effort, and to Packt, Priyanka Mhatre for inviting me to read the eBook and provide a review of the same. Am sure the Big Data community would love this Book.
Amazon Verified review Amazon
Rakesh Sundru Dec 27, 2021
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
This book is super useful. Very well written.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is the delivery time and cost of print book? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela
What is custom duty/charge? Chevron down icon Chevron up icon

Customs duty are charges levied on goods when they cross international borders. It is a tax that is imposed on imported goods. These duties are charged by special authorities and bodies created by local governments and are meant to protect local industries, economies, and businesses.

Do I have to pay customs charges for the print book order? Chevron down icon Chevron up icon

The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.

List of EU27 countries: www.gov.uk/eu-eea:

A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.

How do I know my custom duty charges? Chevron down icon Chevron up icon

The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.

For example:

  • If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
  • Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.
How can I cancel my order? Chevron down icon Chevron up icon

Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact [email protected] with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at [email protected] using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

What is your returns and refunds policy? Chevron down icon Chevron up icon

Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on [email protected] with the order number and issue details as explained below:

  1. If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on [email protected] within one hour of placing the order and we will replace/refund you the item cost.
  2. Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on [email protected] who will be able to resolve this issue for you.
  3. You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
  4. Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
  5. If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
  6. Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on [email protected] within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

What tax is charged? Chevron down icon Chevron up icon

Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

What payment methods can I use? Chevron down icon Chevron up icon

You can pay with the following card types:

  1. Visa Debit
  2. Visa Credit
  3. MasterCard
  4. PayPal
What is the delivery time and cost of print books? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela