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AWS – Announcing preview of AWS Lake Formation features: Transactions, Row-level Security, and Acceleration
AWS Lake Formation transactions, row-level security, and acceleration are now available for preview. These capabilities are available via new, open, and public update and access APIs for data lakes. These APIs extend AWS Lake Formation’s governance capabilities with row-level security. In addition, with this preview, we introduce governed tables – a new Amazon S3 table […]

AWS – Amazon EMR Studio makes it easier for data scientists to build and deploy code
Today we are announcing the public preview of EMR Studio, an integrated development environment (IDE) that makes it easy for data scientists and data engineers to develop, visualize, and debug data engineering and data science applications written in R, Python, Scala, and PySpark. EMR Studio provides fully managed Jupyter Notebooks, and tools like Spark UI and YARN […]

AWS – Amazon Redshift announces Automatic Table Optimization
Amazon Redshift, the most widely used cloud data warehouse, announces general availability of Automatic Table Optimization, a new self-tuning capability that optimizes the physical design of tables by automatically setting sort and distribution keys to improve query speed. You can use Automatic Table Optimization to get started with Amazon Redshift easily or optimize production workloads […]

AWS – Simplify running Apache Spark jobs with Amazon EMR on Amazon EKS
Amazon EMR on Amazon EKS provides a new deployment option for Amazon EMR that allows you to run Apache Spark on Amazon Elastic Kubernetes Service (Amazon EKS). If you already use Amazon EMR, you can now run Amazon EMR based applications with other types of applications on the same Amazon EKS cluster to improve resource […]

AWS – Amazon Redshift introduces data sharing (preview)
Amazon Redshift, the most widely used cloud data warehouse, now enables a secure and easy way to share live data across Amazon Redshift clusters. Data sharing enables instant, granular, and high-performance data access across Amazon Redshift clusters without the need to copy or move data. Data Sharing provides live access to the data so that […]

AWS – AWS Global Accelerator launches custom routing
AWS Global Accelerator announces custom routing accelerator, a new type of accelerator that allows you to use your own application logic to route user traffic to a specific Amazon EC2 destination, while still leveraging the benefits of Global Accelerator. Read More for the details.

AWS – Amazon Redshift announces support for native JSON and semi-structured data processing (preview)
Amazon Redshift, a fully-managed cloud data warehouse, announces preview of native support for JSON and semi-structured data. It is based on the new data type ‘SUPER’ that allows you to store the semi-structured data in Redshift tables. Redshift also adds support for the PartiQL query language to seamlessly query and process the semi-structured data. This […]

AWS – Amazon Redshift now includes Amazon RDS for MySQL and Amazon Aurora MySQL databases as new data sources for federated querying (Preview)
We announced general availability of Amazon Redshift federated query with support for Amazon RDS PostgreSQL and Amazon Aurora PostgreSQL earlier this year. With this feature, many customers have been able to combine live data from operational databases with the data in Amazon Redshift data warehouse and the data in Amazon S3 data lake environment in […]

AWS – Amazon CodeGuru Profiler adds Memory Profiling and Heap Summary
Amazon CodeGuru Profiler now profiles your application’s memory, giving you a consolidated view of the heap. The heap summary shows all objects allocated on the heap during a given time frame. For each object (e.g. String, int, char[], custom types, etc.) you can see a summed-up size and number of objects. These metrics are also […]
AWS – Amazon Braket now supports PennyLane
Amazon Braket now supports PennyLane, an open source software framework for hybrid quantum computing. Pennylane provides interfaces to common machine learning libraries, including PyTorch and TensorFlow, so you can train quantum circuits in the same way you would train a neural network. The integration with Amazon Braket allows you to test and fine-tune algorithms faster […]