AWS News Blog
Category: Analytics
Cross-Account Data Sharing for Amazon Redshift
To be successful in today’s fast-moving world, businesses need to analyze data quickly and take meaningful action. Many of our customers embrace this concept to become data-driven organizations. Data-driven organizations treat data as an asset and use it to improve their insights and make better decisions. They unleash the power of data by using secure […]
Customize and Package Dependencies With Your Apache Spark Applications on Amazon EMR on Amazon EKS
Last AWS re:Invent, we announced the general availability of Amazon EMR on Amazon Elastic Kubernetes Service (Amazon EKS), a new deployment option for Amazon EMR that allows customers to automate the provisioning and management of Apache Spark on Amazon EKS. With Amazon EMR on EKS, customers can deploy EMR applications on the same Amazon EKS […]
File Access Auditing Is Now Available for Amazon FSx for Windows File Server
Amazon FSx for Windows File Server provides fully managed file storage that is accessible over the industry-standard Server Message Block (SMB) protocol. It is built on Windows Server and offers a rich set of enterprise storage capabilities with the scalability, reliability, and low cost that you have come to expect from AWS. In addition to […]
Amazon Redshift ML Is Now Generally Available – Use SQL to Create Machine Learning Models and Make Predictions from Your Data
With Amazon Redshift, you can use SQL to query and combine exabytes of structured and semi-structured data across your data warehouse, operational databases, and data lake. Now that AQUA (Advanced Query Accelerator) is generally available, you can improve the performance of your queries by up to 10 times with no additional costs and no code […]
Introducing Amazon Kinesis Data Analytics Studio – Quickly Interact with Streaming Data Using SQL, Python, or Scala
The best way to get timely insights and react quickly to new information you receive from your business and your applications is to analyze streaming data. This is data that must usually be processed sequentially and incrementally on a record-by-record basis or over sliding time windows, and can be used for a variety of analytics […]
New Amazon FinSpace Simplifies Data Management and Analytics for Financial Services
Managing data is the core of the Financial Services Industry (FSI). I worked for private banking and fund management companies and helped analysts to collect, aggregate, and analyze hundreds of petabytes of data from internal data sources, such as portfolio management, order management, and accounting systems, but also from external data sources, such as real-time […]
New – Amazon EMR on Amazon Elastic Kubernetes Service (EKS)
Tens of thousands of customers use Amazon EMR to run big data analytics applications on frameworks such as Apache Spark, Hive, HBase, Flink, Hudi, and Presto at scale. EMR automates the provisioning and scaling of these frameworks and optimizes performance with a wide range of EC2 instance types to meet price and performance requirements. Customer […]
Preview: Amazon Lookout for Metrics, an Anomaly Detection Service for Monitoring the Health of Your Business
We are excited to announce Amazon Lookout for Metrics, a new service that uses machine learning (ML) to detect anomalies in your metrics, helping you proactively monitor the health of your business, diagnose issues, and find opportunities quickly – with no ML experience required. Lookout for Metrics uses the same technology used by Amazon to […]