Category: Analytics

Amazon QuickSight Enterprise edition now offers a new, session capacity-based pricing model starting at $250/month, with annual commitment options that provide scalable pricing for embedded analytics and BI rollouts to 100s of 1000s of users. QuickSight now also supports embedding dashboards in apps, websites, and wikis without the need to provision and manage users (readers) […]

With the introduction of CTAS support for Amazon Athena (see Use CTAS statements with Amazon Athena to reduce cost and improve performance), you can not only query but also create tables using Athena with the associated data objects stored in Amazon Simple Storage Service (Amazon S3). These tables are often temporary in nature and used […]

Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon Simple Storage Service (Amazon S3) using standard SQL. It’s a serverless platform with no need to set up or manage infrastructure. Athena scales automatically—running queries in parallel—so results are fast, even with large datasets and complex queries. You […]

December 2022: This post was reviewed for accuracy. Many organizations are processing and analyzing clickstream data in real time from customer-facing applications to look for new business opportunities and identify security incidents in real time. A common practice is to consolidate and enrich logs from applications and servers in real time to proactively identify and […]

In May 2020, we announced the general availability of real-time anomaly detection for Elasticsearch. With that release we leveraged the Random Cut Forest (RCF) algorithm to identify anomalous behaviors in the multi-dimensional data streams generated by Elasticsearch queries. We focused on aggregation first, to enable our users to quickly and accurately detect anomalies in their […]

AWS Glue provides a serverless environment to prepare (extract and transform) and load large amounts of datasets from a variety of sources for analytics and data processing with Apache Spark ETL jobs. This posts discusses a new AWS Glue Spark runtime optimization that helps developers of Apache Spark applications and ETL jobs, big data architects, […]

The machine learning (ML) lifecycle consists of several key phases: data collection, data preparation, feature engineering, model training, model evaluation, and model deployment. The data preparation and feature engineering phases ensure an ML model is given high-quality data that is relevant to the model’s purpose. Because most raw datasets require multiple cleaning steps (such as […]

Many organizations have an Apache Hive metastore that stores the schemas for their data lake. You can use Amazon Athena due to its serverless nature; Athena makes it easy for anyone with SQL skills to quickly analyze large-scale datasets. You may also want to reliably query the rich datasets in the lake, with their schemas […]

Amazon EMR is a big data service offered by AWS to run Apache Spark and other open-source applications on AWS in a cost-effective manner. Amazon EMR Notebooks is a managed environment based on Jupyter Notebook that allows data scientists, analysts, and developers to prepare and visualize data, collaborate with peers, build applications, and perform interactive […]

Amazon QuickSight is a cloud-scale business intelligence (BI) service that you can use to deliver easy-to-understand insights to the people you work with, wherever they are. QuickSight connects to your data in the cloud and combines data from many different sources. On a single data dashboard, QuickSight can include AWS data, third-party data, big data, […]