Cloud Analytics with Microsoft Azure: Build modern data warehouses with the combined power of analytics and Azure
bLeverage the power of Azure to get efficient data insights from your big data in real time/b h4Key Features/h4 ulliExplore the basics of cloud analytics using Azure /li liDiscover different ways to process and visualize your data easily /li liLearn to use Azure Synapse Analytics (formerly known as...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2019
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| Ausgabe: | 1 |
| Schlagworte: | |
| Zusammenfassung: | bLeverage the power of Azure to get efficient data insights from your big data in real time/b h4Key Features/h4 ulliExplore the basics of cloud analytics using Azure /li liDiscover different ways to process and visualize your data easily /li liLearn to use Azure Synapse Analytics (formerly known as Azure SQL Data Warehouse) to derive real-time customer insights/li/ul h4Book Description/h4 With data being generated at an exponential speed, organizations all over the world are migrating their infrastructure to the cloud. Application management becomes much easier when you use a cloud platform to build, manage, and deploy your services and applications. Cloud Analytics with Microsoft Azure covers all that you need to extract useful insights from your data. You'll explore the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial intelligence, and DataOps. You'll also delve into data analytics by studying use cases that focus on creating actionable insights from near-real-time data. As you advance, you'll learn to build an end-to-end analytics pipeline on the cloud with machine learning and deep learning concepts. By the end of this book, you'll have developed a solid understanding of data analytics with Azure and its practical implementation. h4What you will learn/h4 ulliExplore the concepts of modern data warehouses and data pipelines /li liDiscover different design considerations while applying a cloud analytics solution /li liDesign an end-to-end analytics pipeline on the cloud /li liDifferentiate between structured, semi-structured, and unstructured data /li liChoose a cloud-based service for your data analytics solutions /li liUse Azure services to ingest, store and analyze data of any scale/li/ul h4Who this book is for/h4 If you're planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations that you must keep in mind. Though not necessary, a basic understanding of data analytics concepts such as data streaming, data types, the machine learning life cycle, and Docker containers will help you get the most out of the book |
| Beschreibung: | 1 Online-Ressource (242 Seiten) |
| ISBN: | 9781839214646 |
Internformat
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| 520 | |a bLeverage the power of Azure to get efficient data insights from your big data in real time/b h4Key Features/h4 ulliExplore the basics of cloud analytics using Azure /li liDiscover different ways to process and visualize your data easily /li liLearn to use Azure Synapse Analytics (formerly known as Azure SQL Data Warehouse) to derive real-time customer insights/li/ul h4Book Description/h4 With data being generated at an exponential speed, organizations all over the world are migrating their infrastructure to the cloud. Application management becomes much easier when you use a cloud platform to build, manage, and deploy your services and applications. Cloud Analytics with Microsoft Azure covers all that you need to extract useful insights from your data. You'll explore the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial intelligence, and DataOps. | ||
| 520 | |a You'll also delve into data analytics by studying use cases that focus on creating actionable insights from near-real-time data. As you advance, you'll learn to build an end-to-end analytics pipeline on the cloud with machine learning and deep learning concepts. By the end of this book, you'll have developed a solid understanding of data analytics with Azure and its practical implementation. | ||
| 520 | |a h4What you will learn/h4 ulliExplore the concepts of modern data warehouses and data pipelines /li liDiscover different design considerations while applying a cloud analytics solution /li liDesign an end-to-end analytics pipeline on the cloud /li liDifferentiate between structured, semi-structured, and unstructured data /li liChoose a cloud-based service for your data analytics solutions /li liUse Azure services to ingest, store and analyze data of any scale/li/ul h4Who this book is for/h4 If you're planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations that you must keep in mind. Though not necessary, a basic understanding of data analytics concepts such as data streaming, data types, the machine learning life cycle, and Docker containers will help you get the most out of the book | ||
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| illustrated | Not Illustrated |
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| spelling | Altaiar, Has Verfasser aut Cloud Analytics with Microsoft Azure Build modern data warehouses with the combined power of analytics and Azure Altaiar, Has 1 Birmingham Packt Publishing Limited 2019 1 Online-Ressource (242 Seiten) txt rdacontent c rdamedia cr rdacarrier bLeverage the power of Azure to get efficient data insights from your big data in real time/b h4Key Features/h4 ulliExplore the basics of cloud analytics using Azure /li liDiscover different ways to process and visualize your data easily /li liLearn to use Azure Synapse Analytics (formerly known as Azure SQL Data Warehouse) to derive real-time customer insights/li/ul h4Book Description/h4 With data being generated at an exponential speed, organizations all over the world are migrating their infrastructure to the cloud. Application management becomes much easier when you use a cloud platform to build, manage, and deploy your services and applications. Cloud Analytics with Microsoft Azure covers all that you need to extract useful insights from your data. You'll explore the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial intelligence, and DataOps. You'll also delve into data analytics by studying use cases that focus on creating actionable insights from near-real-time data. As you advance, you'll learn to build an end-to-end analytics pipeline on the cloud with machine learning and deep learning concepts. By the end of this book, you'll have developed a solid understanding of data analytics with Azure and its practical implementation. h4What you will learn/h4 ulliExplore the concepts of modern data warehouses and data pipelines /li liDiscover different design considerations while applying a cloud analytics solution /li liDesign an end-to-end analytics pipeline on the cloud /li liDifferentiate between structured, semi-structured, and unstructured data /li liChoose a cloud-based service for your data analytics solutions /li liUse Azure services to ingest, store and analyze data of any scale/li/ul h4Who this book is for/h4 If you're planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations that you must keep in mind. Though not necessary, a basic understanding of data analytics concepts such as data streaming, data types, the machine learning life cycle, and Docker containers will help you get the most out of the book COMPUTERS / Data Visualization COMPUTERS / Databases / Data Warehousing Lee, Jack Sonstige oth Pena, Michael Sonstige oth |
| spellingShingle | Altaiar, Has Cloud Analytics with Microsoft Azure Build modern data warehouses with the combined power of analytics and Azure COMPUTERS / Data Visualization COMPUTERS / Databases / Data Warehousing |
| title | Cloud Analytics with Microsoft Azure Build modern data warehouses with the combined power of analytics and Azure |
| title_auth | Cloud Analytics with Microsoft Azure Build modern data warehouses with the combined power of analytics and Azure |
| title_exact_search | Cloud Analytics with Microsoft Azure Build modern data warehouses with the combined power of analytics and Azure |
| title_exact_search_txtP | Cloud Analytics with Microsoft Azure Build modern data warehouses with the combined power of analytics and Azure |
| title_full | Cloud Analytics with Microsoft Azure Build modern data warehouses with the combined power of analytics and Azure Altaiar, Has |
| title_fullStr | Cloud Analytics with Microsoft Azure Build modern data warehouses with the combined power of analytics and Azure Altaiar, Has |
| title_full_unstemmed | Cloud Analytics with Microsoft Azure Build modern data warehouses with the combined power of analytics and Azure Altaiar, Has |
| title_short | Cloud Analytics with Microsoft Azure |
| title_sort | cloud analytics with microsoft azure build modern data warehouses with the combined power of analytics and azure |
| title_sub | Build modern data warehouses with the combined power of analytics and Azure |
| topic | COMPUTERS / Data Visualization COMPUTERS / Databases / Data Warehousing |
| topic_facet | COMPUTERS / Data Visualization COMPUTERS / Databases / Data Warehousing |
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