Remove automatically-generate-types-for-your-postgresql-database
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Achieve near real time operational analytics using Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift

AWS Big Data

When data is used to improve customer experiences and drive innovation, it can lead to business growth,” – Swami Sivasubramanian , VP of Database, Analytics, and Machine Learning at AWS in With a zero-ETL approach, AWS is helping builders realize near-real-time analytics.

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Exploring real-time streaming for generative AI Applications

AWS Big Data

This scale and general-purpose adaptability are what makes FMs different from traditional ML models. FMs are multimodal; they work with different data types such as text, video, audio, and images. In this post, we discuss why data streaming is a crucial component of generative AI applications due to its real-time nature.

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Orchestrate an end-to-end ETL pipeline using Amazon S3, AWS Glue, and Amazon Redshift Serverless with Amazon MWAA

AWS Big Data

Furthermore, the ability to organize multiple AWS accounts in a structured manner allows you to align your business processes and resources according to your unique operational, regulatory, and budgetary requirements.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes. They should also provide optimal performance with low or no tuning.

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How to Aggregate Global Data from the Coronavirus Outbreak

Sisense

Healthy Data is your window into how data is helping these organizations address this crisis. But this type of globally aggregated data doesn’t just appear all on its own. As COVID-19 continues to spread, healthcare groups and companies of all kinds are under pressure to provide care in the face of increasing demand.

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Derive operational insights from application logs using Automated Data Analytics on AWS

AWS Big Data

The application logs are generated using the Apache Log Format schema but stored in the CloudWatch log group in JSON format. Automated Data Analytics (ADA) on AWS is an AWS solution that enables you to derive meaningful insights from data in a matter of minutes through a simple and intuitive user interface.

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HDFS Data Encryption at Rest on Cloudera Data Platform

Cloudera

Introduction: Encryption of Data at Rest is a highly desirable or sometimes mandatory requirement for data platforms in a range of industry verticals including HealthCare, Financial & Government organizations. HDFS Encryption delivers transparent end-to-end encryption of data at rest and is an integral part of HDFS. Enable TLS / SSL.