Data migration to cloud is one of the current trends in the world of information technology. Data migration to cloud is the process of moving data from an existing source, such as a local server or storage device, to a cloud service, such as AWS, Azure, or Google Cloud.
Data migration to cloud can provide various benefits for organizations, such as increasing efficiency, flexibility, scalability, security, and cost savings. However, data migration to cloud also has its own challenges and risks, such as compatibility, quality, integrity, privacy, and compliance of data. Therefore, it is necessary to have the right strategy and solution to perform data migration to cloud successfully and easily.
In this article, we will explain in detail what data migration to cloud is, why data migration to cloud is important, and how to do data migration to cloud easily and effectively.
What is Data Migration?
Data migration is the process of transferring data, including data storage, data formats, and computer systems, from one storage system to another.
Organizations perform data migration for a variety of reasons, such as replacing or upgrading servers and data storage devices, moving from on-premises infrastructure to cloud-based services, or performing infrastructure maintenance.
The data migration process involves careful planning, extraction, and transformation of data. These phases follow a plan that is tailored to the needs of the organization and the type of migration being performed.
Data migration is the key to successfully and securely transferring data to an application, storage, or cloud environment. Despite the risks and costs involved, data migration offers organizations the opportunity to improve application and service performance, increase productivity, and reduce storage costs.
Types of Data Migration
Storage Migration
This migration involves the transfer of data from the old storage to the new storage. The process involves moving storage blocks and files from storage systems, whether they are on disk, tape, or in the cloud.
Typically, organizations perform storage migration to make their data centers more accessible and secure. It also makes the stored data easier to back up, especially in the event of a problem or emergency.
Database Migration
Database migration is the process of moving database files to a new device. This is done when organizations change database vendors, upgrade database software, or move databases to the cloud. It is important to back up the database before performing this migration.
Application Migration
Application migration is the process of moving application programs from one database environment to another. This includes moving entire applications from on-premises to the cloud, between clouds, or changing the form of application data to a new format.
This process is complex because applications interact with each other and have different data models. Successful application migration may require the use of middleware products to overcome technology limitations.
Cloud Migration
Cloud migration involves moving data or applications from an on-premises location to the cloud, or from one cloud service to another. Cloud environments provide on-demand flexibility and scalability and reduce capital expenditures (CapEx) for on-premises infrastructure.
Business Process Migration
This process involves moving business applications, including customer, product, and operational data, and their processes to a new environment.
If you’re looking for a solution to move your data, Hitachi Vantara Dynamic Data Migration may be an option you should consider. It offers a wide range of features that make it ideal for many types of data migration projects.
Easier Data Migration with Hitachi Vantara’s Dynamic Data Migration
Hitachi Vantara’s Dynamic Data Migration is an intelligent and flexible solution for managing data migration. It combines knowledge and understanding of data to automate the movement of data across hybrid environments, from on-premises systems to public clouds such as Snowflake, MongoDB, Amazon Web Services, Microsoft Azure or Google Cloud Platform.
This approach is designed to optimize cost, performance and time. Hitachi Dynamic Data Migration can be used to move data from legacy systems to newer systems, including mainframe to x86-based systems, as well as to migrate data to a more modern and responsive infrastructure.
With this solution, you can easily extract, build, deploy, and monitor data flows without writing any code. This no-code approach helps accelerate and transform the data migration process without disrupting or risking existing applications and services.
Hitachi Vantara Dynamic Data Migration Features
Hitachi Vantara Dynamic Data Migration offers several features that make it ideal for different types of data migration projects. These features include
1. Centralized Intelligence
Equipped with a centralized intelligence engine that collects and analyzes data from multiple sources, including the edge, core and cloud. Centralized intelligence is used to optimize migration planning and execution, ensuring that the most critical data is migrated first. It can also identify and resolve migration issues to ensure a smooth migration process.
2. Comprehensive Automation
Hitachi provides a comprehensive automation framework to automate the various tasks involved in migrating data to platforms such as Snowflake, MongoDB, AWS, Azure, GCP, and on-premises storage such as Hitachi Content Platform (HCP). The goal is to efficiently ensure data availability during the migration process.
3. Accelerate Delivery
Specifically designed to accelerate the delivery of data migration projects by reducing migration time, minimizing downtime and ensuring data integrity. This enables organizations to more quickly realize the benefits of data migration, such as increased data agility, reduced costs, and improved compliance.
Read: Manage Hybrid Cloud Easily Through This Solution!
Benefits of Hitachi Vantara Dynamic Data Migration
Dynamic Data Migration has been used by various organizations around the world with several benefits, including
1. Enterprise-scale Scalability
Flexible, open architecture solution that can be implemented on all types of data sources and APIs. Available in megabyte to petabyte scales, both on-premises and in the cloud.
2. Cost Efficiency
Intelligent analysis of existing data optimizes asset selection during migration to reduce operational time and costs.
3. Simple & Easy
By applying business glossary and Machine Learning to automated discovery to create a single pane of glass across data silos, making it easier for users to understand the data landscape.
4. Agility & Speed
Multi-cloud pipelines are rapidly deployed, making it easy for you to move data anytime, anywhere, as needed.
Migrate your enterprise data with Hitachi Vantara Dynamic Data Migration
It’s time to improve the efficiency and smoothness of your business operations by optimizing intelligent, centralized and automated data migration with Hitachi Vantara’s Dynamic Data Migration.
As an authorized Hitachi Vantara partner, Central Data Technology (CDT) can help you with your implementation. CDT provides access to a team of experts ready to discuss and customize solutions to meet your business needs when implementing Hitachi Dynamic Data Migration.
From consultation to deployment and post-deployment support, the CDT team can help you eliminate the risk of trial and error. To learn more about the benefits of Hitachi Dynamic Data Migration, please contact us by clicking here.
Author: Wilsa Azmalia Putri
Content Writer CTI Group
