In this article, I will attempt to explain how you can take your deployment strategy from manual to auto, especially when dealing with AWS-ECS Fargate. The cool part is we are making use of the…
Tag: aws
Create AWS ELB with Self-Signed SSL Cert – Francis Yeo – Medium
AWS Lake Formation – Now Generally Available | AWS News Blog
As soon as companies started to have data in digital format, it was possible for them to build a data warehouse, collecting data from their operational systems, such as Customer relationship management (CRM) and Enterprise resource planning (ERP) systems, and use this information to support their business decisions.
AWS AppSync Console
Build data-driven apps with real-time and offline capabilities
AWS AppSync makes it easy to build data-driven mobile and browser-based apps that deliver responsive, collaborative experiences by keeping the data updated when devices are connected, enabling the app to use local data when offline, and synchronizing the data when the devices reconnect. AWS AppSync uses the open standard GraphQL query language so you can request, change, and subscribe to the exact data you need with just a few lines of code.
Snakes in the Stream – Feeding and Eating Amazon Kinesis Streams with Python | AWS Big Data Blog
Create Tables in Amazon Athena from Nested JSON and Mappings Using JSONSerDe | AWS Big Data Blog
Most systems use Java Script Object Notation (JSON) to log event information. Although it’s efficient and flexible, deriving information from JSON is difficult.
Analyze and visualize nested JSON data with Amazon Athena and Amazon QuickSight | AWS Big Data Blog
Although structured data remains the backbone for many data platforms, increasingly unstructured or semistructured data is used to enrich existing information or to create new insights. Amazon Athena enables you to analyze a wide variety of data. This includes tabular data in comma-separated value (CSV) or Apache Parquet files, data extracted from log files using regular expressions, and JSON-formatted data. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
Detecting Key Phrases – Amazon Comprehend
To determine the key noun phrases used in text, use the Amazon Comprehend operation. To detect the key noun phrases in up to 25 documents in a batch, use the operation. For more information, see .
