Data
Reader small image

You're reading from  Distributed Data Systems with Azure Databricks

Product typeBook
Published inMay 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781838647216
Edition1st Edition
Languages
Python
Tools
Azure Functions
Concepts
Data Science
Right arrow
Author (1)
Alan Bernardo Palacio
Alan Bernardo Palacio
author image
Alan Bernardo Palacio

Alan Bernardo Palacio is a data scientist and an engineer with vast experience in different engineering fields. His focus has been the development and application of state-of-the-art data products and algorithms in several industries. He has worked for companies such as Ernst and Young, Globant, and now holds a data engineer position at Ebiquity Media helping the company to create a scalable data pipeline. Alan graduated with a Mechanical Engineering degree from the National University of Tucuman in 2015, participated as the founder in startups, and later on earned a Master's degree from the faculty of Mathematics in the Autonomous University of Barcelona in 2017. Originally from Argentina, he now works and resides in the Netherlands.
Read more about Alan Bernardo Palacio

Right arrow

Summary

Throughout this chapter, we have reviewed different features of Structured Streaming and looked at how we can leverage them in Azure Databricks when dealing with streams of data from different sources.

These sources can be data from Azure Event Hubs or data derived using Delta tables as streaming sources, using Auto Loader to manage file detection, reading from Apache Kafka, using Avro format files, and through dealing with data sinks. We have also described how Structured Streaming provides fault tolerance while working with streams of data and looked at how we can visualize these streams using the display function. Finally, we have concluded with an example in which we have simulated JSON files arriving in the storage.

In the next chapter, we will dive more deeply into how we can use the PySpark API to manipulate data, how we can use Python popular libraries in Azure Databricks and the nuances of installing them on a distributed system, how we can easily migrate from...

lock icon
The rest of the page is locked
Previous Page
Chapter 9 of 17, Page 9
Next Chapter
You have been reading a chapter from
Distributed Data Systems with Azure Databricks
Published in: May 2021Publisher: PacktISBN-13: 9781838647216
© 2021 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Alan Bernardo Palacio

Alan Bernardo Palacio is a data scientist and an engineer with vast experience in different engineering fields. His focus has been the development and application of state-of-the-art data products and algorithms in several industries. He has worked for companies such as Ernst and Young, Globant, and now holds a data engineer position at Ebiquity Media helping the company to create a scalable data pipeline. Alan graduated with a Mechanical Engineering degree from the National University of Tucuman in 2015, participated as the founder in startups, and later on earned a Master's degree from the faculty of Mathematics in the Autonomous University of Barcelona in 2017. Originally from Argentina, he now works and resides in the Netherlands.
Read more about Alan Bernardo Palacio

Other recommended products

Related to this chapter

Azure Databricks Cookbook

Azure Databricks Cookbook

The Azure Databricks Cookbook shows you how to work with the latest as well as older versions of Apache Spark and integrate with various Azure resources for orchestrating, deploying, and monitoring big data solutions. You'll use Azure Databricks to build end-to-end solutions and address challenges in securing, productionizing, and monitoring them.

BookSep 2021452 pages
Machine Learning Engineering with MLflow

Machine Learning Engineering with MLflow

Machine Learning Engineering with MLflow is a step-by-step guide that will have you up and running, and productive in no time with MLflow using the most effective machine learning engineering approach. You will also learn how to scale MLflow in big data environments and for high computing demands.

BookAug 2021248 pages2
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.

BookApr 2021454 pages
Azure Data Factory Cookbook

Azure Data Factory Cookbook

With the help of well-structured and practical recipes, this book will teach you how to integrate data from the cloud and on-premise. You’ll learn how to transform, clean, and consolidate data into a single data platform and get to grips with using ADF as the main ETL and orchestration tool for your data warehouse or data platform project.

BookDec 2020382 pages
Cloud Analytics with Microsoft Azure

Cloud Analytics with Microsoft Azure

Cloud Analytics with Microsoft Azure is an end-to-end guide to processing and analyzing big data using a range of Microsoft Azure features. This book covers everything you need to build your own data warehouse and learn numerous techniques to gain useful insights by analyzing big data.

BookNov 2019242 pages
Limitless Analytics with Azure Synapse

Limitless Analytics with Azure Synapse

This book helps you understand the basic concepts and techniques of using Azure Synapse step-by-step. You'll gradually gain the skills you need to work with data and develop analytics solutions using the Azure analytics platform even with no prior knowledge of Azure.

BookJun 2021392 pages
Learning PySpark

Learning PySpark

This book will get you to grips with the Spark Python API. You’ll explore how Python can be used with Spark to build scalable and reliable data-intensive applications.

BookFeb 2017274 pages
Cloud Scale Analytics with Azure Data Services

Cloud Scale Analytics with Azure Data Services

This book will help you to understand the architectural components of a modern data warehouse and select those suitable for your requirements. You’ll learn everything from how to integrate your source data into Azure Data Lake at scale to how to structure your analytical data estate and more.

BookJul 2021520 pages
Learning Spark SQL

Learning Spark SQL

In the past year, Apache Spark has been increasingly adopted for development of distributed applications. Spark SQL APIs provides an optimized interface that helps developers build such applications quickly and easily. However, designing web-scale production applications using Spark SQL APIs can be a complex task. Understanding the design and implementation best practices for Spark SQL API based applications before you start your project will help you avoid these problems and ensure that your project is a success. Learning Spark SQL gives an insight into the engineering practices used to design and build real-world Spark-based applications. The hands-on examples will give you the required confidence to work on any future projects you encounter in Spark SQL.

BookSep 2017452 pages
Mastering Azure Machine Learning

Mastering Azure Machine Learning

This book will help you learn how to build a scalable end-to-end machine learning pipeline in Azure from experimentation and training to optimization and deployment. By the end of this book, you will learn to build complex distributed systems and scalable cloud infrastructure using powerful machine learning algorithms to compute insights.

BookApr 2020436 pages
Mastering Machine Learning on AWS

Mastering Machine Learning on AWS

This book will help you master your skills in various artificial intelligence and machine learning services available on AWS. Through practical hands-on examples, you’ll learn how to use these services to generate impressive results. You will have a tremendous understanding of how to use a wide range of AWS services in your own organization.

BookMay 2019306 pages

Personalised recommendations for you

Based on your interests and search pattern

Et al.

Et al.

Ever wonder why speech recognition systems don't understand the Scottish accent, or what would happen if an astronaut only ate mac 'n' cheese, or other spurious reflections you'd have at a bar? We did, then collated those deliberations into absurd research articles with fake figures and methodologies inspired by even more fictionally absurd studies.

BookAug 2023230 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages4
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages1
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Mastering Tableau 2023

Mastering Tableau 2023

This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.

BookAug 2023684 pages
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages5
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages2
Data Engineering with AWS

Data Engineering with AWS

Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.

BookOct 2023636 pages5
Modern Data Architecture on AWS

Modern Data Architecture on AWS

Every organization wants an agile, performant, and cost-effective data platform that meets all their current and future business needs. Purpose-built AWS analytics services and their features play a big part in building such a modern data platform. This book brings to you all the design and architectural patterns that’ll help you achieve this goal.

BookAug 2023420 pages5
Practical Guide to Applied Conformal Prediction in Python

Practical Guide to Applied Conformal Prediction in Python

Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.

BookDec 2023240 pages
TinyML Cookbook

TinyML Cookbook

With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano microcontrollers.

BookNov 2023664 pages