You love Hadoop because it is flexible, robust, and reliable. The same is true of this plush elephant. Officially licensed by the Apache Software Foundation, this elephant is cuddly, lovable, and can MapReduce like nobody's business. When he valiantly guards your cubicle, he is a symbol of BigData enormity and power. For your non-geek family, he has a gentle smile, floppy ears, and is very, very yellow. This toy complies with the ASTM F963-11 as well as CPSIA toy safety regulations.
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Feature: Quantity: 1PC Season: winter Material: cotton Type: fashion shirt Color: Pink,Gray Suitable for cats and small dogs Fashionable and cute, comfortable to touch wear Size: Size :XS ,Back Length :23cm /9.06" ,Bust: 27cm / 10.63", Size :S ,Back Length :25cm / 9.84" ,Bust: 30cm / 11.81", Size :M ,Back Length :28cm / 11.02" ,Bust: 35cm /13.78", Size :L ,Back Length :31cm / 12.20" ,Bust: 38cm / 14.96", Size :XL ,Back Length :36cm / 14.17" ,Bust: 42cm / 16.54" There is 1 ~ 2cm error because munual measurement Posted by horizontal. Package Content: 1x pet cloth
The Toolkit contains the following practical and powerful enablers with new and updated Hadoop specific requirements:Step 1 get your bearings resources: The quick edition of the Hadoop Self Assessment book in PDF containing 49 requirements to perform a quickscan, get an overview and share with stakeholders, plus an example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation. Step 2 set concrete goals resources: Featuring 680 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas i... [Read More]
Size detail: Size :XS Back Length :23cm /9.06" Bust: 27cm / 10.63" Size :S Back Length :25cm / 9.84" Bust: 30cm / 11.81" Size :M Back Length :28cm / 11.02" Bust: 35cm /13.78" Size :L Back Length :31cm / 12.20" Bust: 38cm / 14.96" Size :XL Back Length :36cm / 14.17" Bust: 42cm / 16.54" Feature: ღ Quantity: 1PC ღ Season: winter ღ Material: cotton ღ Type: fashion shirt ღ Color: Pink,Gray ღ Suitable for cats and small dogs ღ Fashionable and cute, comfortable to touch wear ღ Package Content: ღ 1x pet cloth
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies fo... [Read More]
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Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.Using Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such as Parquet, Flume, Crunch, and Spark. You’ll learn about recent changes to Hadoop, and explore new case studies on Hadoop’s role in healthca... [Read More]
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The Watch IOS was released in April 2015. It has 4nmm by 38 mm resolution and is available in Stainless steel, Silver aluminium, space gray aluminium, 18-karat gold, space Black Stainless Steel and 18-karat rose
Integrating data from multiple sources is essential in the age of big data, but it can be a challenging and time-consuming task. This handy cookbook provides dozens of ready-to-use recipes for using Apache Sqoop, the
Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with
Until recently, Hadoop deployments existed on hardware owned and run by organizations. Now, of course, you can acquire the computing resources and network connectivity to run Hadoop clusters in the cloud. But there's a lot
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