Category: Analytics

Sometimes, data to be analyzed is spread across buckets owned by different accounts. In order to ensure data security, appropriate credentials management needs to be in place. This is especially true for large enterprises storing data in different Amazon S3 buckets for different departments. For example, a customer service department may need access to data […]

Today I’m excited to share with you a number of exciting new features and enhancements in Amazon QuickSight. You can now create key performance indicator (KPI) charts, define custom ranges when importing Microsoft Excel spreadsheets, export data to comma separated value (CSV) format, and create aggregate filters for SPICE data sets. In the Enterprise Edition, […]

Want to change the world with Big Data and Analytics? Come join us on the Amazon EMR team in Amazon Web Services! Meet the Amazon EMR team this Friday April 7th from 5:00 – 7:30 PM at Michael’s at Shoreline in Mountain View. We’ll feature short tech talks by EMR leadership who will talk about the past, […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

You have come up with an exciting hypothesis, and now you are keen to find and analyze as much data as possible to prove (or refute) it. There are many datasets that might be applicable, but they have been created at different times by different people and don’t conform to any common standard. They use […]