Rodrigo Prado’s Post

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

In this post, we discussed a comprehensive solution for organizations looking to implement multi-cloud data lake analytics using Athena, enabling a consolidated view of data across diverse cloud data stores and enhancing decision-making capabilities. We focused on querying data lakes across Amazon S3, Azure Data Lake Storage Gen2, and Google Cloud Storage using Athena. We demonstrated how to set up resources on Azure, GCP, and AWS, including creating databases, tables, Lambda functions, and Athena data sources. We also provided instructions for querying federated data sources from Athena, demonstrating how you can run multi-cloud queries tailored to your specific needs. Lastly, we discussed cost analysis using AWS cost allocation tags.

Interested in the new BigQuery evolutions on Google Cloud? Check out https://lnkd.in/eueU-tRB #Bigquery #GoogleCloud #datamanagement

The Amazon Athena Neptune connector is an AWS Lambda function that connects Athena to Neptune to query the graph. This post provides a guide to integrate the connector and query Neptune using Gremlin and SPARQL. #aws #awscloud #cloud #amazonathena #amazonneptune #awsglue #intermediate200 #technicalhowto

In this post, we delve into the ways in which you can use Amazon Athena connectors to efficiently query data files residing across Azure Data Lake Storage (ADLS) Gen2, Google Cloud Storage (GCS), and Amazon Simple Storage Service (Amazon S3). Additionally, we explore the use of Athena workgroups and cost allocation tags to effectively categorize and analyze the costs associated with running analytical queries. #AWS #Amazon #Athena #MultiCloud #DataLake #S3 #ADLS #GCS

Exciting news for our #Azure customers. Azure support for Atlas Data Federation and Atlas Online Archive is now Generally Available! Whether you're querying across MongoDB Atlas databases and cloud storage offerings, or archiving data at scale, our latest offerings ensure that your data strategy is seamless, efficient, and Azure-centric. #MongoDB #Azure #DataFederation #OnlineArchive 

Exciting news for our #Azure customers. Azure support for Atlas Data Federation and Atlas Online Archive is now Generally Available! Whether you're querying across MongoDB Atlas databases and cloud storage offerings, or archiving data at scale, our latest offerings ensure that your data strategy is seamless, efficient, and Azure-centric. Discover the full suite of features and how they can transform your data workflows in our latest blog. https://lnkd.in/ggTvFiXT #MongoDB #Azure #DataFederation #OnlineArchive 

Exciting news for our #Azure customers. Azure support for Atlas Data Federation and Atlas Online Archive is now Generally Available! Whether you're querying across MongoDB Atlas databases and cloud storage offerings, or archiving data at scale, our latest offerings ensure that your data strategy is seamless, efficient, and Azure-centric. Discover the full suite of features and how they can transform your data workflows in our latest blog. https://lnkd.in/gHdgKczN #MongoDB #Azure #DataFederation #OnlineArchive 

When migrating a large, on-premises database to the cloud, the sheer size of the data can present significant obstacles. This blog post, co-authored with Pragnesh S and Chibuzor Onwudinjor, aims to provide guidance and insights to make this migration process more seamless. The goal is to equip you with the knowledge and strategies needed to overcome the database size barrier and successfully migrate your on-premises database to the AWS cloud. Pragnesh S Chibuzor Onwudinjor #aws #blogs #migration #modernization #data

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