Name: De-Risk Hadoop to AWS Migration with a Data-First Approach
Start: 2021-08-25T18:00:00Z
End: 2021-08-25T18:00:40.000Z
Location: BrightTALK
Rating: 4

Cutting-edge content to help cloud architects, CIOs, CTOs, and data leaders keep geographically dispersed data at any scale consistent between on-premises and cloud environments allowing businesses to operate seamlessly in a hybrid or multi-cloud environment. 

2021 is shaping up to be a uniquely beneficial time to migrate to and modernize data in the cloud. A confluence of events — ranging from exploding CAPEX costs and the need for faster access to the latest hardware innovations, to rapidly deploying and scaling right-sized resources based on workload requirements and the desire to accelerate data-centric initiatives through cloud-scale analytics and AI — are creating a tipping point forcing the prioritization of cloud migrations.

Experts from Accenture, AWS, ESG, and WANdisco will detail the forces shaping AWS cloud migrations and how to execute a migration quickly with no business disruption, all while having real-time access to data throughout the migration.

Expert Panel on Data Modernization: 5 Forces Impacting AWS Cloud Migrations

Learn how easy it is to migrate live data at any scale to Amazon S3, AWS Glue Catalog, Amazon EMR, Databricks or Snowflake. 

Key takeaways include:

- Technical walk through of streamlined data migration from Hadoop on-premises to Amazon S3 and AWS Glue Data Catalog with a sample Athena data query
- Case studies of successful Hadoop to AWS data migrations
- How a data-first approach accelerates business value capture
- 10 traps to avoid in on-premises to cloud migrations

De-Risk Hadoop to AWS Migration with a Data-First Approach

Amazon Web Services

Artificial Intelligence

Big Data

Cloud Computing

Cloud Migration

Cloud Strategy

Data Best Practices

Data Migration

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De-Risk Hadoop to AWS Migration with a Data-First Approach

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