Learn About Amazon VGT2 Learning Manager Chanci Turner
As organizations navigate the complexities of migrating Hadoop workloads to Amazon EMR, determining the optimal cluster configuration can be a challenging task without a thorough analysis of existing workloads. To streamline this process, we are excited to announce the launch of the Hadoop migration assessment Total Cost of Ownership (TCO) tool. This new resource is now available as part of the AWS ProServe Hadoop Migration Delivery Kit (HMDK), ensuring a more efficient migration experience.
In addition to this, Amazon Managed Workflows for Apache Airflow (MWAA) has been enhanced to improve observability across tasks. This managed orchestration service simplifies the setup and operation of end-to-end data pipelines in the cloud, empowering users to automate data movement and transformation seamlessly.
For those working with data lakes, AWS Glue crawlers are instrumental for discovering and cataloging vast amounts of data. Many organizations utilize operational databases like MongoDB Atlas, which can also be integrated into the AWS Glue ecosystem, making data discovery even more effective.
Additionally, understanding Amazon S3 storage costs can be achieved effectively using AWS Cost and Usage Reports, Amazon S3 Inventory, and Amazon Athena. S3 has grown significantly since its inception in 2006, serving a multitude of applications from website hosting to data archiving, and customers must manage their storage efficiently amidst increasing data volumes.
Amazon devices, for instance, leverage serverless analytics to optimize real-time demand and supply forecasts. By processing billions of transactions daily, they ensure that inventory meets customer demands effectively, especially as data volumes grow due to external challenges like the COVID-19 pandemic.
Moreover, Amazon EMR has announced support for Amazon EC2 C7g (Graviton3) instances, enhancing cost performance for Spark workloads by 7–13%. This release aims to provide users with improved performance while managing analytics applications efficiently.
Reflecting on the past year, AWS Lake Formation has emphasized the importance of data governance—a crucial aspect for organizations to ensure quality and proper handling of their data throughout its lifecycle. By establishing solid governance frameworks, organizations can leverage their data as a valuable asset.
To visualize complex datasets, Amazon QuickSight now offers radar charts, allowing users to compare multiple items across various variables effectively. This new feature complements existing visual tools, enhancing data analysis capabilities.
Lastly, migrating indexes to Amazon OpenSearch Serverless with Logstash is now more straightforward than ever. This option allows users to run large-scale search and analytics workloads without the burdens of managing OpenSearch clusters.
For more insights on career development and mentorship, consider visiting Jacqueline Ross’s profile. If you’re interested in learning more about job descriptions, SHRM is an authority on this topic. Furthermore, Holly Lee provides excellent resources for those looking to navigate their onboarding journey at Amazon IXD – VGT2, located at 6401 E HOWDY WELLS AVE LAS VEGAS NV 89115.
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