AWS Big Data Blog

Run Jupyter Notebook and JupyterHub on Amazon EMR

NOTE: The content in this post may need periodic updates as newer versions become available. Please leave a comment if you have any trouble implementing this solution. Tom Zeng is a Solutions Architect for Amazon EMR Jupyter Notebook (formerly IPython) is one of the most popular user interfaces for running Python, R, Julia, Scala, and […]

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Respond to State Changes on Amazon EMR Clusters with Amazon CloudWatch Events

Jonathan Fritz is a Senior Product Manager for Amazon EMR Customers can take advantage of the Amazon EMR API to create and terminate EMR clusters, scale clusters using Auto Scaling or manual resizing, and submit and run Apache Spark, Apache Hive, or Apache Pig workloads. These decisions are often triggered from cluster state-related information. Previously, […]

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Building an Event-Based Analytics Pipeline for Amazon Game Studios’ Breakaway

All software developers strive to build products that are functional, robust, and bug-free, but video game developers have an extra challenge: they must also create a product that entertains. When designing a game, developers must consider how the various elements—such as characters, story, environment, and mechanics—will fit together and, more importantly, how players will interact […]

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Amazon Redshift Engineering’s Advanced Table Design Playbook: Table Data Durability

Part 1: Preamble, Prerequisites, and Prioritization Part 2: Distribution Styles and Distribution Keys Part 3: Compound and Interleaved Sort Keys Part 4: Compression Encodings Part 5: Table Data Durability (Translated into Japanese) In the fifth and final installment of the Advanced Table Design Playbook, I’ll discuss how to use two simple table durability properties to […]

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Amazon Redshift Engineering’s Advanced Table Design Playbook: Compression Encodings

Part 1: Preamble, Prerequisites, and Prioritization Part 2: Distribution Styles and Distribution Keys Part 3: Compound and Interleaved Sort Keys Part 4: Compression Encodings (Translated into Japanese) Part 5: Table Data Durability In part 4 of this blog series, I’ll be discussing when and when not to apply column encoding for compression, methods for determining ideal […]

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Month in Review: November 2016

Another month of big data solutions on the Big Data Blog. Take a look at our summaries below and learn, comment, and share. Thank you for reading! Use Apache Flink on Amazon EMR It is even easier to run Flink on AWS as it is now natively supported in Amazon EMR 5.1.0. EMR supports running Flink-on-YARN so […]

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Amazon Redshift Engineering’s Advanced Table Design Playbook: Compound and Interleaved Sort Keys

  Part 1: Preamble, Prerequisites, and Prioritization Part 2: Distribution Styles and Distribution Keys Part 3: Compound and Interleaved Sort Keys (Translated into Japanese) Part 4: Compression Encodings Part 5: Table Data Durability In this installment, I’ll cover different sort key options, when to use sort keys, and how to identify the most optimal sort key […]

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