0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Azure Databricks Cookbook

You're reading from Azure Databricks Cookbook Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service

Product type Paperback

Published in Sep 2021

Publisher Packt

ISBN-13 9781789809718

Length 452 pages

Edition 1st Edition

Languages

SQL

Tools

Azure

Concepts

Data Streaming

Authors (2):

Vinod Jaiswal

Phani Raj

View More author details

Table of Contents (12) Chapters

Preface

1. Chapter 1: Creating an Azure Databricks Service

2. Chapter 2: Reading and Writing Data from and to Various Azure Services and File Formats FREE CHAPTER

3. Chapter 3: Understanding Spark Query Execution

4. Chapter 4: Working with Streaming Data

5. Chapter 5: Integrating with Azure Key Vault, App Configuration, and Log Analytics

6. Chapter 6: Exploring Delta Lake in Azure Databricks

7. Chapter 7: Implementing Near-Real-Time Analytics and Building a Modern Data Warehouse

8. Chapter 8: Databricks SQL

9. Chapter 9: DevOps Integrations and Implementing CI/CD for Azure Databricks

10. Chapter 10: Understanding Security and Monitoring in Azure Databricks

11. Other Books You May Enjoy

Using Ganglia reports for cluster health

Ganglia is one of the most popular cluster monitoring tools available. An Azure Databricks cluster's performance and health can be monitored using Ganglia. It is a scalable distributed monitoring system. Azure Databricks uses many clusters for operating in the backend, as well as for performing tasks, so it's very important to monitor the performance and health of the clusters for troubleshooting reasons, as well as to capture live metrics.

Getting ready

Before getting started, ensure you have completed Chapter 3, Understanding Spark Query Execution, where you learned how to create Azure Databricks jobs. In this recipe, we will run the Notebook and monitor the cluster utilization percentage (%) using the Ganglia UI.

How to do it…

Let's learn how to use the Ganglia UI to monitor Azure Databricks clusters by going through the following steps:

Before checking the Ganglia UI, let's get the worker and...

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at ₹800/month. Cancel anytime

Authors (2)

Raj

Raj

Rahul Raj has more than 7 years of IT industry experience in software development, business analysis, client communication, and consulting on medium-/large-scale projects in multiple domains. Currently, he works as a lead software engineer in a top software development firm. He has extensive experience in development activities comprising requirement analysis, design, coding, implementation, code review, testing, user training, and enhancements. He has written a number of articles about neural networks in Java and they are featured by DL4J/ official Java community channels. He is also a certified machine learning professional, certified by Vskills, the largest government certification body in India.

See other products by Raj

Jaiswal

Jaiswal

Vinod Jaiswal is an experienced data engineer, excels in transforming raw data into valuable insights. With over 8 years in Databricks, he designs and implements data pipelines, optimizes workflows, and crafts scalable solutions for intricate data challenges. Collaborating seamlessly with diverse teams, Vinod empowers them with tools and expertise to leverage data effectively. His dedication to staying updated on the latest data engineering trends ensures cutting-edge, robust solutions. Apart from technical prowess, Vinod is a proficient educator. Through presentations and mentoring, he shares his expertise, enabling others to harness the power of data within the Databricks ecosystem.

See other products by Jaiswal

Other recommended products

Related to this chapter

Azure Data Engineering Cookbook

Azure Data Engineering Cookbook

This book will help you design and implement modern ETL workflows along with data management, monitoring, and security aspects to meet the current organization's needs. You will use various services such as Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Data Explorer to design efficient data processing solutions.

Apr 2021 15h 8m

Azure Data Engineering Cookbook

Azure Data Engineering Cookbook

This book will help you design and implement modern ETL workflows along with data management, monitoring, and security aspects to meet the current organization's needs. You will use various services such as Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Data Explorer to design efficient data processing solutions.

Apr 2021 15h 8m

Azure Data Engineering Cookbook

Azure Data Engineering Cookbook

This book will help you design and implement modern ETL workflows along with data management, monitoring, and security aspects to meet the current organization's needs. You will use various services such as Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Data Explorer to design efficient data processing solutions.

Apr 2021 15h 8m

Azure Data Engineering Cookbook

Azure Data Engineering Cookbook

This book will help you design and implement modern ETL workflows along with data management, monitoring, and security aspects to meet the current organization's needs. You will use various services such as Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Data Explorer to design efficient data processing solutions.

Apr 2021 15h 8m

Azure Data Engineering Cookbook

Azure Data Engineering Cookbook

This book will help you design and implement modern ETL workflows along with data management, monitoring, and security aspects to meet the current organization's needs. You will use various services such as Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Data Explorer to design efficient data processing solutions.

Apr 2021 15h 8m

Azure Data Engineering Cookbook

Azure Data Engineering Cookbook

This book will help you design and implement modern ETL workflows along with data management, monitoring, and security aspects to meet the current organization's needs. You will use various services such as Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Data Explorer to design efficient data processing solutions.

Apr 2021 15h 8m

Azure Data Engineering Cookbook

Azure Data Engineering Cookbook

This book will help you design and implement modern ETL workflows along with data management, monitoring, and security aspects to meet the current organization's needs. You will use various services such as Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Data Explorer to design efficient data processing solutions.

Apr 2021 15h 8m

Azure Data Engineering Cookbook

Azure Data Engineering Cookbook

This book will help you design and implement modern ETL workflows along with data management, monitoring, and security aspects to meet the current organization's needs. You will use various services such as Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Data Explorer to design efficient data processing solutions.

Apr 2021 15h 8m

Azure Data Engineering Cookbook

Azure Data Engineering Cookbook

This book will help you design and implement modern ETL workflows along with data management, monitoring, and security aspects to meet the current organization's needs. You will use various services such as Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Data Explorer to design efficient data processing solutions.

Apr 2021 15h 8m

Azure Data Engineering Cookbook

Azure Data Engineering Cookbook

This book will help you design and implement modern ETL workflows along with data management, monitoring, and security aspects to meet the current organization's needs. You will use various services such as Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Data Explorer to design efficient data processing solutions.

Apr 2021 15h 8m

Azure Data Engineering Cookbook

Azure Data Engineering Cookbook

This book will help you design and implement modern ETL workflows along with data management, monitoring, and security aspects to meet the current organization's needs. You will use various services such as Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Data Explorer to design efficient data processing solutions.

Apr 2021 15h 8m

Azure Data Engineering Cookbook

Azure Data Engineering Cookbook

This book will help you design and implement modern ETL workflows along with data management, monitoring, and security aspects to meet the current organization's needs. You will use various services such as Azure Data Factory, Azure Databricks, Azure Stream Analytics, and Azure Data Explorer to design efficient data processing solutions.

Apr 2021 15h 8m

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m