Items related to Designing Cloud Data Platforms
Synopsis
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.
Summary
Centralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services. Designing Cloud Data Platforms is a hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud. As you read, you’ll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams. You’ll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyze it.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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 author
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.
Table of Contents
1 Introducing the data platform
2 Why a data platform and not just a data warehouse
3 Getting bigger and leveraging the Big 3: Amazon, Microsoft Azure, and Google
4 Getting data into the platform
5 Organizing and processing data
6 Real-time data processing and analytics
7 Metadata layer architecture
8 Schema management
9 Data access and security
10 Fueling business value with data platforms
"synopsis" may belong to another edition of this title.
About the Author
Danil Zburivsky has over 10 years 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.
"About this title" may belong to another edition of this title.
- PublisherManning
- Publication date2021
- ISBN 10 1617296449
- ISBN 13 9781617296444
- BindingPaperback
- LanguageEnglish
- Number of pages336
- Rating
Search results for Designing Cloud Data Platforms
Seller Image
Designing Cloud Data Platforms
Seller: Dream Books Co., Denver, CO, U.S.A.
Seller rating 5 out of 5 stars
Condition: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly! Seller Inventory # DBV.1617296449.G
Quantity: 1 available
Stock Image
Designing Cloud Data Platforms
Seller: HPB-Red, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_383885935
Quantity: 1 available
Stock Image
Designing Cloud Data Platforms
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 1.35. Seller Inventory # G1617296449I2N00
Quantity: 1 available
Stock Image
Designing Cloud Data Platforms
Seller: Goodwill Books, Hillsboro, OR, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Signs of wear and consistent use. Seller Inventory # 3IIT4R0048BV_ns
Quantity: 1 available
Stock Image
Designing Cloud Data Platforms Format: Paperback
Seller: INDOO, Avenel, NJ, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread copy in mint condition. Seller Inventory # SS9781617296444
Quantity: Over 20 available
Stock Image
Designing Cloud Data Platforms Format: Paperback
Seller: INDOO, Avenel, NJ, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Brand New. Seller Inventory # 9781617296444
Quantity: Over 20 available
Stock Image
Designing Cloud Data Platforms (Paperback)
Published by
Manning Publications, New York, 2021
ISBN 10: 1617296449
ISBN 13: 9781617296444
New
Paperback
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. Centralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services. Designing Cloud Data Platforms is an hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud. As you read, youll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams. Youll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyse it. about the technologyAccess to affordable, dependable, serverless cloud services has revolutionized the way organizations can approach data management, and companies both big and small are raring to migrate to the cloud. But without a properly designed data platform, data in the cloud can remain just as siloed and inaccessible as it is today for most organizations. Designing Cloud Data Platforms lays out the principles of a well-designed platform that uses the scalable resources of the public cloud to manage all of an organization's data, and present it as useful business insights. about the bookIn Designing Cloud Data Platforms, youll learn how to integrate data from multiple sources into a single, cloud-based, modern data platform. Drawing on their real-world experiences designing cloud data platforms for dozens of organizations, cloud data experts Danil Zburivsky and Lynda Partner take you through a six-layer approach to creating cloud data platforms that maximizes flexibility and manageability and reduces costs. Starting with foundational principles, youll learn how to get data into your platform from different databases, files, and APIs, the essential practices for organizing and processing that raw data, and how to best take advantage of the services offered by major cloud vendors. As you progress past the basics youll take a deep dive into advanced topics to get the most out of your data platform, including real-time data management, machine learning analytics, schema management, and more. what's inside The tools of different public cloud for implementing data platformsBest practices for managing structured and unstructured data setsMachine learning tools that can be used on top of the cloudCost optimization techniques about the readerFor data professionals familiar with the basics of cloud computing and distributed data processing systems like Hadoop and Spark. about the authors Danil Zburivsky has over 10 years 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781617296444
Quantity: 1 available
Stock Image
Designing Cloud Data Platforms
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9781617296444_new
Quantity: 1 available
Stock Image
Designing Cloud Data Platforms
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 400 pages. 9.50x7.50x0.75 inches. In Stock. Seller Inventory # __1617296449
Quantity: 1 available
Stock Image
Designing Cloud Data Platforms
Published by
Manning Publications, 2021
ISBN 10: 1617296449
ISBN 13: 9781617296444
New
Softcover
First Edition
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2021. 1st Edition. Paperback. . . . . . Seller Inventory # V9781617296444
Quantity: 1 available