Step-by-Step Guide to Hadoop Migration
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Step-by-Step Guide to Hadoop Migration

Migrating from Hadoop to a modern, cloud-based data and AI platform is a priority for more and more organizations. Join this event to learn the 5 key steps for a successful migration:

98%
Migration Success Rate
5x Faster
Performance Improvement
50%
Cost Reduction

Service Overview

Migrate from Hadoop to a modern, cloud-based data and AI platform with our proven 5-step migration process. Our methodology ensures a smooth transition from on-premises Hadoop to modern cloud-based platforms while maintaining data integrity and minimizing business disruption.

Migrating from Hadoop to a modern, cloud-based data and AI platform is a priority for more and more organizations. Our proven 5-step process ensures successful migration with minimal risk and maximum value.

Key Challenges We Address

Complex on-premises infrastructure maintenance
Limited scalability and performance constraints
High operational costs and resource requirements
Difficulty in adopting modern AI/ML technologies

Key Questions We Answer

How to ingest data and metadata and keep it synchronized during migration

Learn proven strategies for seamless data transfer with zero data loss, ensuring your data remains synchronized until you're ready to end-of-life your on-premises solution.

How to convert your code from Hive to Apache Spark™

Discover efficient methods for transforming existing Hive queries to Apache Spark™, unlocking enhanced performance and modern data processing capabilities.

How to transition existing security systems to cloud platforms

Maintain your security posture while transitioning from Apache Ranger to modern cloud security features, ensuring continuous protection throughout the migration.

How to administer a unified data and analytics platform

Learn how to remove the DevOps burden by implementing unified platform administration that streamlines operations and reduces complexity.

How to enable BI and SQL access on cloud-based platforms

Enable business intelligence and SQL access on your cloud-based platform, ensuring your team can continue using familiar tools and workflows.

Key Features & Capabilities

5-Step Migration Process
Hive to Apache Spark™ Conversion
Security Transition Planning
Unified Platform Administration
BI & SQL Access Enablement
Cloud-Native Architecture

Our Process

1

Data ingestion and metadata synchronization — and how to keep that data synchronized until you are ready to EOL your on-premises solution

2

Hive to Apache Spark™ code conversion — transforming existing queries and workflows for enhanced performance

3

Security transition and access management — utilizing systems like Apache Ranger to transition to online security

4

Unified platform administration setup — to remove the DevOps burden and streamline operations

5

BI and SQL access configuration — enabling business intelligence and SQL access on your cloud-based platform

Key Benefits

  • Elastic scaling and improved performance
  • Reduced hardware maintenance costs
  • Managed cloud services reduce DevOps burden
  • Native support for modern AI/ML workloads
  • Improved collaboration and accessibility
  • Future-ready technology stack

Our Solutions

Data Synchronization Strategy

Ensure zero data loss during migration with proven data synchronization strategies.

Code Conversion & Migration

Transform existing Hive queries to Apache Spark™ for enhanced performance.

Security & Access Management

Maintain security posture while transitioning to modern cloud platforms.

Ready to Get Started?

Let’s discuss how this service can help you achieve your business goals.

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Step-by-Step Guide to Hadoop Migration - Migration - StarX Technologies | StarX Technologies