دانلود کتاب Designing Cloud Data Platforms
by Danil Zburivsky, Lynda Partner
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عنوان فارسی: طراحی بسترهای داده ابری |
دانلود کتاب
جزییات کتاب
About the Technology
Well-designed pipelines, storage systems, and APIs eliminate the complicated scaling and maintenance required with on-prem data centers. Once you learn the patterns for designing cloud data platforms, you’ll maximize performance no matter which cloud vendor you use.
About the book
In Designing Cloud Data Platforms, Danil Zburivsky and Lynda Partner reveal a six-layer approach that increases flexibility and reduces costs. Discover patterns for ingesting data from a variety of sources, then learn to harness pre-built services provided by cloud vendors.
What's inside
• Best practices for structured and unstructured data sets
• Cloud-ready machine learning tools
• Metadata and real-time analytics
• Defensive architecture, access, and security
About the reader
For data professionals familiar with the basics of cloud computing, and Hadoop or Spark.
About the authors
Danil Zburivsky has over 10 years of experience designing and supporting large-scale data infrastructure for enterprises across the globe.
Lynda Partner is the VP of Analytics-as-a-Service at Pythian, and has been on the business side of data for over 20 years.