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Found 10 results

  1. AWS WAF now supports setting sensitivity levels for SQL injection (SQLi) rule statements, giving you greater control over how AWS WAF evaluates requests to your applications for SQLi attacks. View the full article
  2. IT leaders, engineers, and developers must consider multiple factors when using a database. There are scores of open source and proprietary databases available, and each offers distinct value to organisations. They can be divided into two primary categories: SQL (relational database) and NoSQL (non-relational database). This article will explore the difference between SQL and NoSQL and which option is best for your use case... View the full article
  3. SQL stands for Structured command language . a question language may be a quite programing language that's designed to facilitate retrieving specific information from databases, and that is exactly what SQL does. to place it simply, SQL is that the language of databases. SQL classes in Pune SQL course in Pune
  4. Amazon Relational Database Service (Amazon RDS) Data API can now return results in a new simplified JSON format that makes it easier to convert JSON string to an object in your application. Previously, Amazon RDS Data API returned a JSON string as an array of data type and value pairs. This required developers to write custom code to parse the response and extract the values in order to manually translate the JSON string into an object. Instead, the new format returns an array of column names and values, which makes it easier for common JSON parsing libraries to convert the response JSON string to an object. The previous JSON format is still supported and existing applications using Amazon RDS Data API will work unchanged. To learn more about the new format and how to use it see our documentation. View the full article
  5. The last six months have seen an unprecedented acceleration in digital transformation. There has never been a more important time for database administrators (DBAs) and developers to prepare for an increasingly cloud-centric future. However, we’d like to make this interesting and fun. That’s why we’ve partnered with PASS, a worldwide community of over 300,000 data professionals, to create an interactive learning experience that allows you to test your talent and build your skillset for the future—all while earning to chance to win prizes. Sign up now for the Azure SQL Championship, starting October 12, 2020. View the full article
  6. You now can use Amazon DynamoDB as a source data store with AWS Glue Elastic Views to combine and replicate data across multiple data stores—without having to write custom code. With AWS Glue Elastic Views, you can use Structured Query Language (SQL) to quickly create a virtual table—called a view—from multiple source data stores. Based on this view, AWS Glue Elastic Views copies data from each source data store and creates a replica—called a materialized view—in a target data store. AWS Glue Elastic Views monitors continuously for changes to data in your source data stores, and provides updates to your target data stores automatically, ensuring that data accessed through the materialized view is always up to date. View the full article
  7. You now can use PartiQL (a SQL-compatible query language)—in addition to already-available DynamoDB operations—to query, insert, update, and delete table data in Amazon DynamoDB. PartiQL makes it easier to interact with DynamoDB and run queries in the AWS Management Console. Because PartiQL is supported for all DynamoDB data-plane operations, it can help improve the productivity of developers by enabling them to use a familiar, structured query language to perform these operations. View the full article
  8. Amazon RDS Performance Insights supports SQL-level metrics on Amazon RDS for PostgreSQL so you can identify high-frequency, long-running, and stuck SQL queries in seconds. View the full article
  9. Federated queries in Amazon Athena enable users to run SQL queries across data stored in relational, non-relational, object, and custom data sources. The feature, which is now generally available in the us-east-1, us-west-2, and us-east-2 regions, enables customers to submit a single SQL query that scans data from multiple sources running on-premises or hosted in the cloud. View the full article
  10. Amazon Redshift now allows you to schedule your SQL queries for executions in recurring schedules and enables you to build event-driven by integrating with Amazon EventBridge. You can now schedule time sensitive or long running queries, loading or unloading your data, or refreshing your materialized views on a regular schedule. View the full article
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