Object Storage Across the Cloud

AWS, Azure and GCP
With chapters selected by J.T. Wolohan
  • February 2020
  • ISBN 9781617297786
  • 125 pages
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Look inside
The amount of data being collected these days is growing exponentially. Traditional file storage systems, like the ones you may be familiar with on your local machine, lack the scalability necessary to manage all that data. Object storage solves the scalability problem. In fact, in this big data era, object storage in the cloud is fast becoming the standard. And with cloud providers—Amazon, Google, and Microsoft—offering affordable, dependable, massively scalable cloud storage, you can leave all your storage concerns to the cloud and focus on your application!

about the book

Object Storage Across the Cloud is a collection of chapters from four Manning books, chosen by data scientist JT Wolohan, with the goal of helping you become comfortable developing with object storage, no matter which provider you choose. This mini ebook explores choosing the right storage class, access control and lifecycle configuration, and several common use cases. You’ll delve into the internals of the AWS S3 object store and use this highly popular system to host a website. In a chapter that examines Microsoft Azure’s Blob Storage, you’ll learn about Azure naming conventions, choosing an Azure storage service, creating an Azure storage account, and designing storage account access. And to put your newfound object storage knowledge to the test, you’ll use object storage to power big data analytics as you run both Hadoop and Spark jobs in the cloud using Amazon EMR. This packed primer is an excellent showcase of object storage, its many uses and benefits, and how to choose the best platform for your task!

what's inside

  • “Cloud Storage: object storage” from Google Cloud Platform in Action by JJ Geewax
  • “Storing your objects: S3 and Glacier” from Amazon Web Services in Action, Second Edition by Michael Wittig and Andreas Wittig
  • “Azure Storage Blob service” from Azure Data Engineering by Richard L. Nuckolls
  • “Large datasets in the cloud with Amazon Web Services and S3” from Mastering Large Datasets with Python by JT Wolohan

about the author

J.T. Wolohan is a lead data scientist at Booz Allen Hamilton and a PhD researcher at Indiana University, Bloomington, affiliated with the Department of Information and Library Science and the School of Informatics and Computing. His professional work focuses on rapid prototyping and scalable AI. His research focuses on computational analysis of social uses of language online. He is the author of Mastering Large Datasets with Python.

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