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Amazon Redshift ML Is Now Generally Available – Use SQL to Create Machine Learning Models and Make Predictions from Your Data

Publicada el por Stack Over Cloud

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 Read more about Amazon Redshift ML Is Now Generally Available – Use SQL to Create Machine Learning Models and Make Predictions from Your Data[…]

Introducing Amazon Kinesis Data Analytics Studio – Quickly Interact with Streaming Data Using SQL, Python, or Scala

Publicada el por Stack Over Cloud

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 Read more about Introducing Amazon Kinesis Data Analytics Studio – Quickly Interact with Streaming Data Using SQL, Python, or Scala[…]

New Amazon FinSpace Simplifies Data Management and Analytics for Financial Services

Publicada el por Stack Over Cloud

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 Read more about New Amazon FinSpace Simplifies Data Management and Analytics for Financial Services[…]

Announcing AWS Glue DataBrew – A Visual Data Preparation Tool That Helps You Clean and Normalize Data Faster

Publicada el por Stack Over Cloud

To be able to run analytics, build reports, or apply machine learning, you need to be sure the data you’re using is clean and in the right format. That’s the data preparation step that requires data analysts and data scientists to write custom code and do many manual activities. First, you need to look at Read more about Announcing AWS Glue DataBrew – A Visual Data Preparation Tool That Helps You Clean and Normalize Data Faster[…]

New – Export Amazon DynamoDB Table Data to Your Data Lake in Amazon S3, No Code Writing Required

Publicada el por Stack Over Cloud

Hundreds of thousands of AWS customers have chosen Amazon DynamoDB for mission-critical workloads since its launch in 2012. DynamoDB is a nonrelational managed database that allows you to store a virtually infinite amount of data and retrieve it with single-digit-millisecond performance at any scale. To get the most value out of this data, customers had Read more about New – Export Amazon DynamoDB Table Data to Your Data Lake in Amazon S3, No Code Writing Required[…]

AWS Glue version 2.0 featuring 10x faster job start times and 1-minute minimum billing duration

Publicada el por Stack Over Cloud

AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. Glue is “serverless” – you don’t need to provision or manage any resources and you only pay for resources when Glue is actively running. AWS Glue version 2.0 is Read more about AWS Glue version 2.0 featuring 10x faster job start times and 1-minute minimum billing duration[…]

New – Serverless Streaming ETL with AWS Glue

Publicada el por Stack Over Cloud

When you have applications in production, you want to understand what is happening, and how the applications are being used. To analyze data, a first approach is a batch processing model: a set of data is collected over a period of time, then run through analytics tools. To be able to react quickly, you can Read more about New – Serverless Streaming ETL with AWS Glue[…]

Using Spatial Data with Amazon Redshift

Publicada el por Stack Over Cloud

Today, Amazon Redshift announced support for a new native data type called GEOMETRY. This new type enables ingestion, storage, and queries against two-dimensional geographic data, together with the ability to apply spatial functions to that data. Geographic data (also known as georeferenced data) refers to data that has some association with a location relative to Read more about Using Spatial Data with Amazon Redshift[…]

New – Using Step Functions to Orchestrate Amazon EMR workloads

Publicada el por Stack Over Cloud

AWS Step Functions allows you to add serverless workflow automation to your applications. The steps of your workflow can run anywhere, including in AWS Lambda functions, on Amazon Elastic Compute Cloud (EC2), or on-premises. To simplify building workflows, Step Functions is directly integrated with multiple AWS Services: Amazon ECS, AWS Fargate, Amazon DynamoDB, Amazon Simple Read more about New – Using Step Functions to Orchestrate Amazon EMR workloads[…]

Learn about AWS Services & Solutions – September AWS Online Tech Talks

Publicada el por Stack Over Cloud

Learn about AWS Services & Solutions – September AWS Online Tech Talks Join us this September to learn about AWS services and solutions. The AWS Online Tech Talks are live, online presentations that cover a broad range of topics at varying technical levels. These tech talks, led by AWS solutions architects and engineers, feature technical Read more about Learn about AWS Services & Solutions – September AWS Online Tech Talks[…]