AWS Big Data Blog

Category: Analytics

Analyze and visualize nested JSON data with Amazon Athena and Amazon QuickSight

Although structured data remains the backbone for many data platforms, increasingly unstructured or semistructured data is used to enrich existing information or to create new insights. Amazon Athena enables you to analyze a wide variety of data. This includes tabular data in comma-separated value (CSV) or Apache Parquet files, data extracted from log files using regular expressions, […]

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Bannerconnect uses Amazon Redshift to help clients improve digital marketing results

Bannerconnect uses programmatic marketing solutions that empower advertisers to win attention and customers by getting their ads seen by the right person at the right time and place. Data-driven insights help large advertisers, trade desks, and agencies boost brand awareness and maximize the results of their digital marketing. Timely analysis of log data is critical […]

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Run Amazon payments analytics with 750 TB of data on Amazon Redshift

The Amazon Payments Data Engineering team is responsible for data ingestion, transformation, and storage of a growing dataset of more than 750 TB. The team makes these services available to more than 300 business customers around the globe. These customers include managers from the product, marketing, and programs domains; as well as data scientists, business analysts, […]

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Reduce costs by migrating Apache Spark and Hadoop to Amazon EMR

Apache Spark and Hadoop are popular frameworks to process data for analytics, often at a fraction of the cost of legacy approaches, yet at scale they may still become expensive propositions. This blog post discusses ways to reduce your total costs of ownership, while also improving staff productivity at the same time. This can be […]

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Best Practices for Securing Amazon EMR

This post walks you through some of the principles of Amazon EMR security. It also describes features that you can use in Amazon EMR to help you meet the security and compliance objectives for your business. We cover some common security best practices that we see used. We also show some sample configurations to get you started.

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Amazon QuickSight announces ML Insights in preview

Amazon QuickSight is a fast, cloud-powered BI service that makes it easy for everyone in an organization to get business insights from their data through rich, interactive dashboards. With pay-per-session pricing and embedded dashboard, we made BI even more cost-effective and accessible to everyone. However, as the volume of data that customers generate continues to […]

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Scale your Amazon Redshift clusters up and down in minutes to get the performance you need, when you need it

Amazon Redshift is the cloud data warehouse of choice for organizations of all sizes—from fast-growing technology companies such as Turo and Yelp to Fortune 500 companies such as 21st Century Fox and Johnson & Johnson. With quickly expanding use cases, data sizes, and analyst populations, these customers have a critical need for scalable data warehouses. […]

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Scale Amazon Kinesis Data Streams with AWS Application Auto Scaling

Recently, AWS launched a new feature of AWS Application Auto Scaling that let you define scaling policies that automatically add and remove shards to an Amazon Kinesis Data Stream. For more detailed information about this feature, see the Application Auto Scaling GitHub repository. As your streaming information increases, you require a scaling solution to accommodate […]

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