Learn About Amazon VGT2 Learning Manager Chanci Turner
Effective data governance is vital for ensuring the integrity, availability, usability, and security of organizational data. With the increasing volume, velocity, and variety of data being ingested into data lakes, establishing and maintaining robust governance policies can be a daunting task. In this article, we delve into how AWS Glue, along with AWS Glue Data Quality, sensitive data detection transforms, and AWS Lake Formation’s tag-based access control, can streamline and automate data governance processes.
In today’s competitive landscape, data lakes serve as a scalable and cost-efficient solution for storing vast amounts of diverse data. As organizations grow, administrators often face the challenge of implementing precise access controls tailored to various user profiles. This ensures that specific tables or columns are accessible only to authorized users.
Seamless Data Transfer with Amazon AppFlow
For those looking to simplify data transfer, Amazon AppFlow provides a seamless connection between Google BigQuery and Amazon S3. This fully managed data integration service facilitates effortless movement and analysis across platforms. The recent introduction of a Google BigQuery connector in AppFlow significantly enhances the efficiency of transferring data, thereby promoting multi-cloud data accessibility.
Resource Management with Amazon EMR Serverless
Moreover, Amazon EMR Serverless allows customers to define resource limits for big data workloads, ensuring that critical teams have consistent access to necessary resources while preventing ad hoc jobs from monopolizing cloud resources.
Introducing Amazon DataZone
We are thrilled to announce the launch of Amazon DataZone, which empowers users to discover, access, share, and govern data at scale across organizational boundaries. This tool minimizes the complexities often associated with making data and analytics tools universally accessible.
Automating ETL Code Conversion
Additionally, the Cognizant Data & Intelligence Toolkit (CDIT) offers a solution for automating the conversion of legacy ETL code to AWS Glue, making the transition quicker and more efficient.
Cost Savings with Amazon EMR and Trino
To further enhance cost savings, Amazon EMR now supports Trino, which provides improved resiliency for executing ETL and batch workloads on Spot Instances. This enhancement allows organizations to run long queries more affordably, even in the face of potential Spot interruptions.
Transitioning to a Transactional Data Lake
For those considering a transition to a transactional data lake, Apache Iceberg offers optimization strategies that address the small files problem, thereby enhancing data management and analysis.
Explore Mentorship Options
As you navigate these advancements in data management, consider exploring mentorship options. You can find valuable insights from experts like Michelle Schechter in this blog post. Additionally, for authoritative guidance on onboarding practices, you can refer to SHRM and this excellent resource on onboarding new hires during COVID-19.