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8 Best Practices for Legacy Data Migration

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8 Best Practices for Legacy Data Migration

Many big names in the business industry have been relying on legacy data migration for years.

Legacy systems are reliable but lack flexibility and the ability to scale with a business’s changing needs. It might not seem a big deal, but it can hamper businesses’ growth potential. Companies are turning to legacy data migration to prevent this from happening.

Legacy data migration is the process of transferring data from older systems to newer ones, allowing businesses to take advantage of new technologies and tools. It is an excellent way for companies to keep up with rapid technological changes while preserving existing data. It also helps them maintain their competitive edge in the market. Legacy system migration also helps businesses save time and money on creating new systems from scratch. In this blog post, I’m going to share some best practices for legacy data migration to help businesses make the switch. So, let’s dive into it.

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1. Analyze Your Business Goals

Before you start the migration process, make sure to evaluate your business goals. Analyzing business goals is necessary whether you are on your way to learning how to build a VPN or are planning to migrate data. Consider how migrating your data will help you meet those goals and if it’s worth the effort. Think about which parts of your data to migrate and what features or capabilities will help you get the most out of it.

You also need to determine which data characteristics you need to preserve in the migration process. It helps you choose the right migration strategy and ensure that your data is migrated correctly. You don’t want to spend time and resources on something that doesn’t align with your business objectives.

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2. Create Legacy Migration Plan

Planning is necessary for any successful data migration. Migration is done to make the process as efficient and cost-effective as possible. Start by making a migration plan that outlines the scope, objectives, timeline, resources needed and risk assessment. A good plan should also include a backup process if something goes wrong.

With an effective plan, you can identify potential risks and create strategies to prevent any issues that may arise during the process. Start by creating a detailed migration process timeline and assigning tasks to team members. It will help you stay on track, so the entire process runs smoothly. Make sure to allocate resources, such as time and budget, for the migration process. You can’t start without knowing how much it will cost and how long it will take.

3. Understand The Legacy System

Understanding the legacy system is essential for the migration process. You need to know how it works and what data it stores before you start moving it. Understanding the system’s data structure and how it is organized is essential. It helps determine which data needs to be migrated, which data can be modified or discarded, and which data needs to be preserved.

You need to comprehend all the information stored in the legacy system, such as applications, databases and files. It will help you efficiently migrate the data without sacrificing any essential data.

4. Determine The Components to be Migrated

Once you understand the legacy system, it’s time to identify the components that need to be migrated. It includes data, applications, processes and infrastructure. You need to decide which components need to be migrated and consider any potential challenges that may arise. It will help you determine the best approach for the migration process.

5. Prepare the Target Environment

The target environment is where your data will be migrated to, so it’s crucial that it is set up properly. Before starting the migration process, ensure that the target environment is ready to receive the legacy data. It includes double-checking the compatibility of your applications and databases.

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If your targeted environment is on the cloud, determine which type of cloud platform is best for your business. Choosing the right platform to accommodate your data and applications is also necessary.

6. Conduct an Audit of the Legacy System

Conducting an audit of the legacy system is vital to ensure all data is transferred correctly. An audit allows you to detect any problems or issues with the data, such as duplicates or missing fields. It also helps you identify potential risks that may arise during the migration process.

Conducting a complete audit of the legacy system also helps you identify the components of the system that don’t need to be migrated. It can help you save time and resources by reducing the amount of data that needs to be transferred.

7. Conduct Mapping Analysis

Mapping is a crucial part of the migration process. It helps you organize the data and ensure it is accurately migrated to the target environment. Data mapping is a process that identifies the source and target locations of data, as well as any transformations needed.

Mapping also helps you identify any discrepancies between the source and target environments. It will help you detect errors before they occur and ensure all data is transferred to the correct location.

8. Test and Validate the Migration

Testing and validating the migration process is essential to ensure that all data has been transferred correctly. Before completing the migration process, test the system and thoroughly analyze potential issues. It provides peace of mind that all data has been migrated successfully.

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Next-gen chips, Amazon Q, and speedy S3

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AWS re:Invent, which has been taking place from November 27 and runs to December 1, has had its usual plethora of announcements: a total of 21 at time of print.

Perhaps not surprisingly, given the huge potential impact of generative AI – ChatGPT officially turns one year old today – a lot of focus has been on the AI side for AWS’ announcements, including a major partnership inked with NVIDIA across infrastructure, software, and services.

Yet there has been plenty more announced at the Las Vegas jamboree besides. Here, CloudTech rounds up the best of the rest:

Next-generation chips

This was the other major AI-focused announcement at re:Invent: the launch of two new chips, AWS Graviton4 and AWS Trainium2, for training and running AI and machine learning (ML) models, among other customer workloads. Graviton4 shapes up against its predecessor with 30% better compute performance, 50% more cores and 75% more memory bandwidth, while Trainium2 delivers up to four times faster training than before and will be able to be deployed in EC2 UltraClusters of up to 100,000 chips.

The EC2 UltraClusters are designed to ‘deliver the highest performance, most energy efficient AI model training infrastructure in the cloud’, as AWS puts it. With it, customers will be able to train large language models in ‘a fraction of the time’, as well as double energy efficiency.

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As ever, AWS offers customers who are already utilising these tools. Databricks, Epic and SAP are among the companies cited as using the new AWS-designed chips.

Zero-ETL integrations

AWS announced new Amazon Aurora PostgreSQL, Amazon DynamoDB, and Amazon Relational Database Services (Amazon RDS) for MySQL integrations with Amazon Redshift, AWS’ cloud data warehouse. The zero-ETL integrations – eliminating the need to build ETL (extract, transform, load) data pipelines – make it easier to connect and analyse transactional data across various relational and non-relational databases in Amazon Redshift.

A simple example of how zero-ETL functions can be seen is in a hypothetical company which stores transactional data – time of transaction, items bought, where the transaction occurred – in a relational database, but use another analytics tool to analyse data in a non-relational database. To connect it all up, companies would previously have to construct ETL data pipelines which are a time and money sink.

The latest integrations “build on AWS’s zero-ETL foundation… so customers can quickly and easily connect all of their data, no matter where it lives,” the company said.

Amazon S3 Express One Zone

AWS announced the general availability of Amazon S3 Express One Zone, a new storage class purpose-built for customers’ most frequently-accessed data. Data access speed is up to 10 times faster and request costs up to 50% lower than standard S3. Companies can also opt to collocate their Amazon S3 Express One Zone data in the same availability zone as their compute resources.  

Companies and partners who are using Amazon S3 Express One Zone include ChaosSearch, Cloudera, and Pinterest.

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Amazon Q

A new product, and an interesting pivot, again with generative AI at its core. Amazon Q was announced as a ‘new type of generative AI-powered assistant’ which can be tailored to a customer’s business. “Customers can get fast, relevant answers to pressing questions, generate content, and take actions – all informed by a customer’s information repositories, code, and enterprise systems,” AWS added. The service also can assist companies building on AWS, as well as companies using AWS applications for business intelligence, contact centres, and supply chain management.

Customers cited as early adopters include Accenture, BMW and Wunderkind.

Want to learn more about cybersecurity and the cloud from industry leaders? Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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HCLTech and Cisco create collaborative hybrid workplaces

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Digital comms specialist Cisco and global tech firm HCLTech have teamed up to launch Meeting-Rooms-as-a-Service (MRaaS).

Available on a subscription model, this solution modernises legacy meeting rooms and enables users to join meetings from any meeting solution provider using Webex devices.

The MRaaS solution helps enterprises simplify the design, implementation and maintenance of integrated meeting rooms, enabling seamless collaboration for their globally distributed hybrid workforces.

Rakshit Ghura, senior VP and Global head of digital workplace services, HCLTech, said: “MRaaS combines our consulting and managed services expertise with Cisco’s proficiency in Webex devices to change the way employees conceptualise, organise and interact in a collaborative environment for a modern hybrid work model.

“The common vision of our partnership is to elevate the collaboration experience at work and drive productivity through modern meeting rooms.”

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Alexandra Zagury, VP of partner managed and as-a-Service Sales at Cisco, said: “Our partnership with HCLTech helps our clients transform their offices through cost-effective managed services that support the ongoing evolution of workspaces.

“As we reimagine the modern office, we are making it easier to support collaboration and productivity among workers, whether they are in the office or elsewhere.”

Cisco’s Webex collaboration devices harness the power of artificial intelligence to offer intuitive, seamless collaboration experiences, enabling meeting rooms with smart features such as meeting zones, intelligent people framing, optimised attendee audio and background noise removal, among others.

Want to learn more about cybersecurity and the cloud from industry leaders? Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Tags: Cisco, collaboration, HCLTech, Hybrid, meetings

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Canonical releases low-touch private cloud MicroCloud

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Canonical has announced the general availability of MicroCloud, a low-touch, open source cloud solution. MicroCloud is part of Canonical’s growing cloud infrastructure portfolio.

It is purpose-built for scalable clusters and edge deployments for all types of enterprises. It is designed with simplicity, security and automation in mind, minimising the time and effort to both deploy and maintain it. Conveniently, enterprise support for MicroCloud is offered as part of Canonical’s Ubuntu Pro subscription, with several support tiers available, and priced per node.

MicroClouds are optimised for repeatable and reliable remote deployments. A single command initiates the orchestration and clustering of various components with minimal involvement by the user, resulting in a fully functional cloud within minutes. This simplified deployment process significantly reduces the barrier to entry, putting a production-grade cloud at everyone’s fingertips.

Juan Manuel Ventura, head of architectures & technologies at Spindox, said: “Cloud computing is not only about technology, it’s the beating heart of any modern industrial transformation, driving agility and innovation. Our mission is to provide our customers with the most effective ways to innovate and bring value; having a complexity-free cloud infrastructure is one important piece of that puzzle. With MicroCloud, the focus shifts away from struggling with cloud operations to solving real business challenges” says

In addition to seamless deployment, MicroCloud prioritises security and ease of maintenance. All MicroCloud components are built with strict confinement for increased security, with over-the-air transactional updates that preserve data and roll back on errors automatically. Upgrades to newer versions are handled automatically and without downtime, with the mechanisms to hold or schedule them as needed.

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With this approach, MicroCloud caters to both on-premise clouds but also edge deployments at remote locations, allowing organisations to use the same infrastructure primitives and services wherever they are needed. It is suitable for business-in-branch office locations or industrial use inside a factory, as well as distributed locations where the focus is on replicability and unattended operations.

Cedric Gegout, VP of product at Canonical, said: “As data becomes more distributed, the infrastructure has to follow. Cloud computing is now distributed, spanning across data centres, far and near edge computing appliances. MicroCloud is our answer to that.

“By packaging known infrastructure primitives in a portable and unattended way, we are delivering a simpler, more prescriptive cloud experience that makes zero-ops a reality for many Industries.“

MicroCloud’s lightweight architecture makes it usable on both commodity and high-end hardware, with several ways to further reduce its footprint depending on your workload needs. In addition to the standard Ubuntu Server or Desktop, MicroClouds can be run on Ubuntu Core – a lightweight OS optimised for the edge. With Ubuntu Core, MicroClouds are a perfect solution for far-edge locations with limited computing capabilities. Users can choose to run their workloads using Kubernetes or via system containers. System containers based on LXD behave similarly to traditional VMs but consume fewer resources while providing bare-metal performance.

Coupled with Canonical’s Ubuntu Pro + Support subscription, MicroCloud users can benefit from an enterprise-grade open source cloud solution that is fully supported and with better economics. An Ubuntu Pro subscription offers security maintenance for the broadest collection of open-source software available from a single vendor today. It covers over 30k packages with a consistent security maintenance commitment, and additional features such as kernel livepatch, systems management at scale, certified compliance and hardening profiles enabling easy adoption for enterprises. With per-node pricing and no hidden fees, customers can rest assured that their environment is secure and supported without the expensive price tag typically associated with cloud solutions.

Want to learn more about cybersecurity and the cloud from industry leaders? Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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Tags: automation, Canonical, MicroCloud, private cloud

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