Rodrigo Prado’s Post

AWS Glue is a serverless data integration service that enables scalable ETL workloads. A main advantage is cloud flexibility to provision resources on demand. #aws #awscloud #cloud #analytics #announcements #awsglue

AWS Glue is a serverless data integration service that enables scalable ETL workloads. A main advantage is cloud flexibility to provision resources on demand. #aws #awscloud #cloud #analytics #announcements #awsglue

🚨 Announcing the newest addition to our data sharing platform 🚨 #Redshift Sharing on Bobsled. Teams that manage data products in the cloud can now securely share data directly to customers in Amazon Redshift using its native #zerocopysharing protocol. With Redshift on Bobsled, you can: - Securely share data to customers in any region of Redshift from Snowflake, BigQuery, AWS S3, Azure Storage, Google Cloud Storage. - Unify and streamline delivery operations across data platforms, cloud storage and SFTP. - Automate fulfillment using the Bobsled API Learn more about how Bobsled supports universal data sharing to Redshift from any major cloud data lake or warehouse here https://hubs.li/Q02Dz8cD0

Wondering how to get started with Data Management on Google Cloud. This Article will show you how to Import and Export Data using GCP

Amazon DataZone now integrates with AWS Lake Formation hybrid access mode to simplify secure and governed data sharing in the AWS Glue Data Catalog. This helps customers use Amazon DataZone for data access control across on-premises and cloud data lakes. #aws #awscloud #cloud #amazondatazone #announcements #awsglue #awslakeformation

As data analytics use cases grow, scalability and concurrency become crucial. Amazon Redshift Serverless provides a fully managed, auto scaling cloud data warehouse for high-performance analytics. #aws #awscloud #cloud #advanced300 #amazonredshift #technicalhowto #thoughtleadership

🎨 Learn how Amazon DataZone uses popular AWS services you may already have in your environment, including Amazon Redshift, Amazon Athena, AWS Glue & AWS Lake Formation, as well as on-premises & third-party sources. 📄 https://go.aws/3US1tuU

Data analytics today is among the fastest-growing fields as it provides significant value to business by helping make informed and data-driven decisions. Despite being a useful tool, large-scale data analytics can also cost a lot to properly implement. Fortunately, cloud platforms like AWS have a vast catalog of tools and strategies to optimize costs while helping to utilize the power of big data to the fullest. This article explores key approaches for achieving cost-efficiency in large-scale data analytics with the help of AWS solutions.

AWS Glue job queuing is now generally available. It increases scalability and improves managing AWS Glue jobs by queueing jobs to avoid failures from high concurrency. #aws #awscloud #cloud #analytics #announcements #awsglue

AWS Secrets Manager now integrates with Redshift serverless data warehouse, enabling seamless access and protection of sensitive credentials on Amazon Web Services (AWS) https://lnkd.in/dwnFvwxq #aws #awscloud