AWS Big Data Blog
Encrypt and Decrypt Amazon Kinesis Records Using AWS KMS
Customers with strict compliance or data security requirements often require data to be encrypted at all times, including at rest or in transit within the AWS cloud. This post shows you how to build a real-time streaming application using Kinesis in which your records are encrypted while at rest or in transit. Amazon Kinesis overview […]
Read MoreBig Data Resources on the AWS Knowledge Center
The AWS Knowledge Center answers the questions we receive most frequently from AWS customers. It is a resource for you that is distinct from AWS Documentation, the AWS Discussion Forums, and the AWS Support Center. It covers questions from across every AWS service. Specific big data services covered on the Knowledge Center include Amazon EMR, Amazon Athena, […]
Read MoreTop 10 Performance Tuning Tips for Amazon Athena
This blog post has been translated into Japanese. Amazon Athena is an interactive query service that makes it easy to analyze data stored in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. Athena is easy to use. Simply […]
Read MoreRunning R on Amazon Athena
This blog post has been translated into Japanese. Data scientists are often concerned about managing the infrastructure behind big data platforms while running SQL on R. Amazon Athena is an interactive query service that works directly with data stored in S3 and makes it easy to analyze data using standard SQL without the need to […]
Read MoreAmazon Redshift Monitoring Now Supports End User Queries and Canaries
Ian Meyers is a Solutions Architecture Senior Manager with AWS The serverless Amazon Redshift Monitoring utility lets you gather important performance metrics from your Redshift cluster’s system tables and persists the results in Amazon CloudWatch. This serverless solution leverages AWS Lambda to schedule custom SQL queries and process the results. With this utility, you can use […]
Read MoreMonth in Review: February 2017
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! NEW POSTS Implement Serverless Log Analytics Using Amazon Kinesis Analytics In this post, learn how how to implement a solution that analyzes streaming Apache access log data from an […]
Read MoreJoin us next week at Strata + Hadoop World in San Jose, CA
We’re back in San Jose for the Strata conference, March 13-16, 2017, to talk all things big data at AWS and show you some of our latest innovations. Come meet the AWS Big Data team at booth #928, where big data experts will be happy to answer your questions, hear about your requirements, and help […]
Read MoreAnalyzing VPC Flow Logs with Amazon Kinesis Firehose, Amazon Athena, and Amazon QuickSight
Many business and operational processes require you to analyze large volumes of frequently updated data. Log analysis, for example, involves querying and visualizing large volumes of log data to identify behavioral patterns, understand application processing flows, and investigate and diagnose issues. VPC flow logs capture information about the IP traffic going to and from network […]
Read MoreBig Updates to the Big Data on AWS Training Course!
AWS offers a range of training resources to help you advance your knowledge with practical skills so you can get more out of the cloud. We’ve updated Big Data on AWS, a three-day, instructor-led training course to keep pace with the latest AWS big data innovations. This course allows you to hear big data best […]
Read MoreAnalyze Security, Compliance, and Operational Activity Using AWS CloudTrail and Amazon Athena
As organizations move their workloads to the cloud, audit logs provide a wealth of information on the operations, governance, and security of assets and resources. As the complexity of the workloads increases, so does the volume of audit logs being generated. It becomes increasingly difficult for organizations to analyze and understand what is happening in […]
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