Introducing Amazon Redshift Query Editor V2, a Free Web-based Query Authoring Tool for Data Analysts

When it comes to manipulating and analyzing relational data, Structured Query Language (SQL) has been an international standard since 1986, a couple of years before I was born. And yet, it sometimes takes hours to get access to a new database or data warehouse, configure credentials or single sign-on, download and install multiple desktop libraries Read more about Introducing Amazon Redshift Query Editor V2, a Free Web-based Query Authoring Tool for Data Analysts[…]

Introducing Amazon MSK Connect – Stream Data to and from Your Apache Kafka Clusters Using Managed Connectors

Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. At re:Invent 2018, we announced Amazon Managed Streaming for Apache Kafka, a fully managed service that makes it easy to build and run applications that use Apache Kafka to process streaming data. When you use Apache Kafka, you capture real-time data Read more about Introducing Amazon MSK Connect – Stream Data to and from Your Apache Kafka Clusters Using Managed Connectors[…]

Decoding the Social Effects Of Media with Machine Learning

What if media were optimized to benefit people? This thought-provoking question is at the core of Harmony Labs‘ mission. A nonprofit organization headquartered in New York City, Harmony Labs strives to better understand the impact of media on society, and build communities and tools to reform and transform media systems. As Brian Wanieswki, Executive Director Read more about Decoding the Social Effects Of Media with Machine Learning[…]

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 Read more about Cross-Account Data Sharing for Amazon Redshift[…]

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 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

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

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

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

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

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[…]