AWS Big Data Blog

Month in Review: November 2016

by Derek Young | on | Permalink | Comments |  Share

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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Amazon Redshift Engineering’s Advanced Table Design Playbook: Distribution Styles and Distribution Keys

  Part 1: Preamble, Prerequisites, and Prioritization Part 2: Distribution Styles and Distribution Keys (Translated into Japanese) Part 3: Compound and Interleaved Sort Keys Part 4: Compression Encodings Part 5: Table Data Durability The first table and column properties we discuss in this blog series are table distribution styles (DISTSTYLE) and distribution keys (DISTKEY). This blog […]

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Amazon Redshift Engineering’s Advanced Table Design Playbook: Preamble, Prerequisites, and Prioritization

  Part 1: Preamble, Prerequisites, and Prioritization (Translated into Japanese) Part 2: Distribution Styles and Distribution Keys Part 3: Compound and Interleaved Sort Keys Part 4: Compression Encodings Part 5: Table Data Durability Amazon Redshift is a fully managed, petabyte scale, massively parallel data warehouse that offers simple operations and high performance. AWS customers use Amazon […]

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Implementing Authorization and Auditing using Apache Ranger on Amazon EMR

Role-based access control (RBAC) is an important security requirement for multi-tenant Hadoop clusters. Enforcing this across always-on and transient clusters can be hard to set up and maintain. Imagine an organization that has an RBAC matrix using Active Directory users and groups. They would like to manage it on a central security policy server and […]

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Analyzing Data in S3 using Amazon Athena

Neil Mukerje is a Solution Architect for Amazon Web Services Abhishek Sinha is a Senior Product Manager on Amazon Athena Amazon Athena is an interactive query service that makes it easy to analyze data directly from Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to set up or manage and you can […]

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Introducing the Data Lake Solution on AWS

by Nick Corbett | on | Permalink | Comments |  Share

This blog post has been translated into Japanese.  Many of our customers choose to build their data lake on AWS. They find the flexible, pay-as-you-go, cloud model is ideal when dealing with vast amounts of heterogeneous data. While some customers choose to build their own lake, many others are supported by a wide range of […]

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Low-Latency Access on Trillions of Records: FINRA’s Architecture Using Apache HBase on Amazon EMR with Amazon S3

John Hitchingham is Director of Performance Engineering at FINRA The Financial Industry Regulatory Authority (FINRA) is a private sector regulator responsible for analyzing 99% of the equities and 65% of the option activity in the US. In order to look for fraud, market manipulation, insider trading, and abuse, FINRA’s technology group has developed a robust […]

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Dynamically Scale Applications on Amazon EMR with Auto Scaling

Jonathan Fritz is a Senior Product Manager for Amazon EMR Customers running Apache Spark, Presto, and the Apache Hadoop ecosystem take advantage of Amazon EMR’s elasticity to save costs by terminating clusters after workflows are complete and resizing clusters with low-cost Amazon EC2 Spot Instances. For instance, customers can create clusters for daily ETL or machine learning […]

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Build a Community of Analysts with Amazon QuickSight

Imagine you’ve just landed your dream job. You’ve always liked tackling the hardest problems and you’ve got one now: You’ll work for a chain of coffee shops that’s struggling against fierce competition, tight budgets, and low morale. But there’s a new management team in place. As head of business intelligence (BI), you think you can […]

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