Electronic data processing

Practical Hadoop ecosystem : a definitive guide to Hadoop-related frameworks and tools
Part I. Fundamentals. Part II. Storing & Querying. Part III. Bulk Transferring & Streaming. Part IV. Serializing.
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Provides an overview of the drivers for introducing big data technology into an organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually ...
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Presenting to What is computational thinking?. Computational methods. Computing machines. Computer science. Software engineering. Designing for humans. Computational science. Teaching computational thinking for all. Future computation. Epilogue: Lessons learned.
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Contents: 1. Communication. 2. Coordination. 3. Scalability.4. Resiliency. 5.Testing and operations.
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Data management at Scale : best practices for enterprise architecture
Chapter 1. The Disruption of Data Management. Chapter 2. Introducing the Scaled Architecture: Organizing Data at Scale. Chapter 3. Managing Vast Amounts of Data: The Read-Only Data. Chapter 4. Services and API Management: The API Architecture.
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- Tổng sách: 1
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