Safelight is a compelling collection of poetry framed around the traditional photographic process. The author, Michael Peña, invites the reader to develop and agitate their own assumptions on a variety of subjects concerning faith, politics, technology and more. The book is riddled with references from pop-culture, music, movies and literature. Additionally, it contains 24 original poems, just like a standard roll of film consists of 24 frames.

Safelight: Volume One

Arts & Photography

Peña, Michael

Photography & Video

Darkroom_books

Leverage the power of Azure to get efficient data insights from your big data in real time Key Features <ul>
<li>Explore the basics of cloud analytics using Azure </li> <li>Discover different ways to process and visualize your data easily </li> <li>Learn to use Azure Synapse Analytics (formerly known as Azure SQL Data Warehouse) to derive real-time customer insights</li>
</ul> Book Description 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. What you will learn <ul>
<li>Explore the concepts of modern data warehouses and data pipelines </li> <li>Discover different design considerations while applying a cloud analytics solution </li> <li>Design an end-to-end analytics pipeline on the cloud </li> <li>Differentiate between structured, semi-structured, and unstructured data </li> <li>Choose a cloud-based service for your data analytics solutions </li> <li>Use Azure services to ingest, store and analyze data of any scale</li>
</ul> Who this book is for 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.Table of Contents <ol>
<li>Introducing Analytics on Azure</li> <li>Building your Modern Data Warehouse</li> <li>Processing and Visualizing Data</li> <li>Introducing Azure Synapse Analytics</li> <li>Business Use Cases</li> <li>Conclusion</li>
</ol>

Cloud Analytics with Microsoft Azure

Computers & Technology

Lee, Jack

Altaiar, Has

Databases & Big Data

Packt Publishing

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Books by Peña, Michael