Data
Reader small image

You're reading from  Cloud Scale Analytics with Azure Data Services

Product typeBook
Published inJul 2021
PublisherPackt
ISBN-139781800562936
Edition1st Edition
Tools
Azure Pack
Concepts
Data Streaming
Right arrow
Author (1)
Patrik Borosch
Patrik Borosch
author image
Patrik Borosch

Patrik Borosch is a cloud solution architect for data and AI at Microsoft Switzerland GmbH. He has more than 25 years of BI and analytics development, engineering, and architecture experience and is a Microsoft Certified Data Engineer and a Microsoft Certified AI Engineer. Patrik has worked on numerous significant international data warehouse, data integration, and big data projects. Through this, he has built and extended his experience in all facets, from requirements engineering to data modeling and ETL, all the way to reporting and dashboarding. At Microsoft Switzerland, he supports customers in their journey into the analytical world of the Azure Cloud.
Read more about Patrik Borosch

Right arrow

Summary

This chapter took you through the integration between Azure Synapse and Azure DevOps. You learned how to connect Azure Synapse to Azure DevOps and how to automate deployments when creating new, or updating existing, artifacts.

You gained some insights into developer productivity with Synapse Studio and how to benefit from supporting functions of Synapse Studio.

Afterward, you examined how to implement backup and DR and how to monitor your Azure Synapse environment.

Finally, you saw and examined the security features of Azure Synapse.

In the upcoming chapter, Chapter 12, Distributing Data, you will learn how to connect your Power BI service with Azure Synapse and create Power BI reports directly in Synapse Studio.

lock icon
The rest of the page is locked
Previous Page
Chapter 16 of 20, Page 6
Next Page
You have been reading a chapter from
Cloud Scale Analytics with Azure Data Services
Published in: Jul 2021Publisher: PacktISBN-13: 9781800562936
© 2021 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Patrik Borosch

Patrik Borosch is a cloud solution architect for data and AI at Microsoft Switzerland GmbH. He has more than 25 years of BI and analytics development, engineering, and architecture experience and is a Microsoft Certified Data Engineer and a Microsoft Certified AI Engineer. Patrik has worked on numerous significant international data warehouse, data integration, and big data projects. Through this, he has built and extended his experience in all facets, from requirements engineering to data modeling and ETL, all the way to reporting and dashboarding. At Microsoft Switzerland, he supports customers in their journey into the analytical world of the Azure Cloud.
Read more about Patrik Borosch

Other recommended products

Related to this chapter

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
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
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
Data Modeling for Azure Data Services

Data Modeling for Azure Data Services

Data modeling for Azure Data Services teaches you the core concepts of setting up different types of databases for different use cases. With this hands-on guide, you'll learn how to implement the resulting data model in Azure efficiently.

BookJul 2021428 pages
Cloud Analytics with Microsoft Azure

Cloud Analytics with Microsoft Azure

Cloud Analytics with Microsoft Azure enables you to understand the design and business considerations that you must keep in mind while planning to adopt the cloud analytics model for your business.

BookJan 2021184 pages
Hands-On Data Warehousing with Azure Data Factory

Hands-On Data Warehousing with Azure Data Factory

Azure Data Factory (ADF) is a Microsoft Azure PaaS solution which supports data movement between many on premises and cloud data sources. This book covers custom tailored tutorials to help you develop , maintain and troubleshoot data movement processes and environments using Azure Data Factory V2 and SQL Server Integration Services 2017

BookMay 2018284 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
Stream Analytics with Microsoft Azure

Stream Analytics with Microsoft Azure

This book is your guide to understanding the basics of how Azure Stream Analytics works, and build your own analytics solution using its capabilities. By the end of this book, you will be well-versed in using Azure Stream Analytics to develop an efficient analytics solution which can work with any type of data.

BookDec 2017322 pages
ETL with Azure Cookbook

ETL with Azure Cookbook

This book will take you through hand-on recipes for extracting, transforming, and loading data using big data tools and Azure services such as Data Factory and Azure Databricks. You will learn how to interact effectively with Azure services, along with covering automation with BIML and data profiling in Azure.

BookSep 2020446 pages
Distributed Data Systems with Azure Databricks

Distributed Data Systems with Azure Databricks

This book helps you to learn how to extract, transform, and orchestrate massive amounts of data to develop robust data pipelines. You'll perform complex machine learning tasks using advanced Azure Databricks features, and also explore model tuning, deployment, and control using Databricks functionalities such as AutoML and Delta Lake with TensorFlow.

BookMay 2021414 pages
Introducing Microsoft SQL Server 2019

Introducing Microsoft SQL Server 2019

Introducing Microsoft SQL Server 2019 takes you through what’s new in SQL Server 2019 and why it matters. After reading this book, you’ll be well placed to explore exactly how you can make MIcrosoft SQL Server 2019 work best for you.

BookApr 2020488 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