AWS News Blog

Category: Analytics

Amazon QuickSight Now Generally Available – Fast & Easy to Use Business Analytics for Big Data

After a preview period that included participants from over 1,500 AWS customers ranging from startups to global enterprises, I am happy to be able to announce that is now generally available! When I invited you to join the preview last year, I wrote: In the past, Business Intelligence required an incredible amount of undifferentiated heavy […]

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New – Sending Metrics for Amazon Simple Email Service (SES)

focuses on deliverability – getting email through to the intended recipients. In my launch blog post (Introducing the Amazon Simple Email Service), I noted that several factors influence delivery, including the level of trust that you have earned with multiple Internet Service Providers (ISPs) and the number of complaints and bounces that you generate. Today […]

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Additional At-Rest and In-Transit Encryption Options for Amazon EMR

Our customers use (including Apache Hadoop and the full range of tools that make up the Apache Spark ecosystem) to handle many types of mission-critical big data use cases. For example: Yelp processes over a terabyte of log files and photos every day. Expedia processes streams of clickstream, user interaction, and supply data. FINRA analyzes […]

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Streaming Real-time Data into an S3 Data Lake at MeetMe

In today’s guest post, Anton Slutsky of MeetMe describes the implementation process for their Data Lake. Anton Slutsky is an experienced information technologist with nearly two decades of experience in the field. He has an MS in Computer Science from Villanova University and a PhD in Information Science from Drexel University. Modern Big Data systems […]

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New – Upload AWS Cost & Usage Reports to Redshift and QuickSight

Many AWS customers have been asking us for a way to programmatically analyze their Cost and Usage Reports (read New – AWS Cost and Usage Reports for Comprehensive and Customizable Reporting for more info). These customers are often using AWS to run multiple lines of business, making use of a wide variety of services, often […]

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Amazon Kinesis Analytics – Process Streaming Data in Real Time with SQL

As you may know, greatly simplifies the process of working with real-time streaming data in the . Instead of setting up and running your own processing and short-term storage infrastructure, you simply create a Kinesis Stream or Kinesis Firehose, arrange to pump data in to it, and then build an application to process or analyze […]

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Amazon EMR 5.0.0 – Major App Updates, UI Improvements, Better Debugging, and More

The team has been cranking out new releases at a fast and furious pace! Here’s a quick recap of this year’s launches: EMR 4.7.0 – Updates to Apache Tez, Apache Phoenix, Presto, HBase, and Mahout (June). EMR 4.6.0 – HBase for realtime access to massive datasets (April). EMR 4.5.0 – Updates to Hadoop, Presto; addition […]

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Amazon Kinesis Update – Amazon Elasticsearch Service Integration, Shard-Level Metrics, Time-Based Iterators

Amazon Kinesis makes streaming data easy in the cloud.The Amazon Kinesis platform is comprised of three distinct services: Kinesis Streams allows developers to build their own stream processing applications; Kinesis Firehose simplifies the process of loading streaming data into AWS for storage and analytics; Kinesis Analytics supports the analysis of streaming data using standard SQL […]

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