Why Data Migration is Important to Transform Your Business

Moving data from one place to another, one format to another, or one application to another is known as data migration. Typically, this happens when a new system or location for the data is introduced.

Here we organize several current and emerging technologies into a practical innovation glossary. Find below the core innovation definitions along with related articles and startups.

1. Cloud computing

Cloud computing is the delivery of remote computing services over the Internet — rather than a local server or a personal computer — including server, storage, databases, networking, software, and analytics.

Startups in Asia:

• CloudMile: CloudMile is a cloud and AI company empowering companies to accelerate digital transformation via cloud technology and machine learning. CloudMile helps enterprises maximize the efficiency of the cloud by modernizing and integrating mainstream IT, including cloud, AI, machine learning, and big data analytics.

2. Cloud storage

Cloud storage is a virtual storage infrastructure in which data is transmitted and stored. It is maintained, managed, backed up, and made available to users over the Internet. Cloud storage allows businesses and consumers to save data securely online, so the data can be easily shared and accessed anytime from anywhere.

• Public Cloud: Public cloud storage services are a multi-tenant storage environment that is suitable for unstructured data on a subscription basis.
• Private cloud: Private cloud storage services are in-house storage resources employed as an environment protected by a firewall.
• Hybrid cloud: This cloud storage is an integration of private cloud storage and third-party public cloud storage services, with a layer of orchestration management to combine the two platforms.

Startups in Asia:

• Cloudmii: Cloudmii provides services ranging from cloud storage, cloud computing, colocation, CDN.

3. Cloud database

A cloud database is a database service enabled through a cloud platform where data is collected, organized, and managed. It serves many of the same functions as those of a traditional database but with more flexibility of cloud computing. There are two deployment models of a cloud database.

• Self-managed database: An infrastructure as a service (IaaS) environment, in which the database runs in a virtual machine on a system operated by a cloud provider. The cloud platform provider supports and manages the infrastructure, while the users utilize, administer, and maintain the database by themselves.
• Managed database service: A database as a service (DBaaS) environment that is fully managed by the provider. The provider manages the infrastructure and the database platform, while the customers monitor the database and coordinate with the provider on some administrative tasks.

Startups in Asia:

• Quixy: Quixy is a cloud-based user-friendly digital transformation platform that empowers business users with no coding skills to build unlimited enterprise-grade applications, using simple drag and drop design, ten times faster compared to the traditional approach, consequently enhancing efficiency, transparency, and productivity of business operations. The platform includes an integrated cloud database, a visual application builder, enterprise-grade security, regulatory compliance, and scalable global infrastructure.

4. Cloud networking

Cloud networking is the use of network resources and services from a third-party provider that utilizes Wide Area Networking (WAN) or cloud-based technologies in which some or all of organization's networking resources are hosted in the cloud, whether it is a public cloud, private cloud, and hybrid cloud combination. It connects applications and workloads across clouds, cloud services, on-premises data centers, and edge networks. Cloud networking provides organizations with lower cost, safety, and improved productivity.

Types of cloud networking:

• Cloud-enabled networking

A technique where the customer’s network architecture is utilised, with the rest of the network resources used to manage the cloud.

• Cloud-based networking

The entire network is based in the cloud and used to enable connectivity between the resources and applications deployed in the cloud.

Related Startups:

• EstiNet: A startup company incubated by National Yang Ming Chiao Tung University in 2010, focusing on AIoT domain and dedicated to R&D of AR+AIoT solutions for industries. EstiNet has established AiGOAL cloud platform in Si-Soft IDC in Hsinchu Science Park for IoT application service, Big Data analytics, AI Deep Learning training, and online education service.

5. Data migration

Data migration refers to the permanent transfer of current historical data to a new storage system or a file format that during the preparation and post-migration phases require various planning, backup creation, quality testing, and result validation. The migration process will be complete when the old system, database, or environment is shut down.

6. Data lake modernization

Before solving business problems with data, storing the massive amount of data at rest requires different capabilities than continuously processing data. Traditionally, data are stored from all sources into a central storage system for centralized data ownership, and data lake is the centralized repository designed to store and process a large amount of raw data. The concept of modernizing data lake is to replace and migrate to a new “cloud-native” data warehouse, accelerating data engineers’ and scientists’ analytics development.

7. Streaming analytics

Event streams are continuous queries that happen as a direct result of a set of actions, such as a financial transaction, a website click, or some other measurable activity. Streaming analytics help processing and analyze these current and in-motion data streams, which are sent in small sizes in a continuous flow to spot opportunities or risks in real-time.

8. Modern business intelligence

As many might already know, business intelligence is to utilize data in decision-making processes or strategy formulation. However, in the face of increasing data volumes and types as well as ever-changing business requirements, BI modernization becomes inevitable to deliver a higher user experience and eliminate excessive costs. To level up the data-driven digital transformation, companies need to first identify their business problems, audiences, and desired outcomes in order to make the most informed choice out of assorted platform vendors.

Related Startups:

MoBagel: A key vendor of AI/ML platforms with a mission to empower data teams and enterprises to become AI-driven, and thus the vision of “Think with AI”. MoBagel has designed and engineered Decanter AI, an AutoML platform that contains more than 100 machine learning algorithms to help enterprises quickly build AI-driven data solutions.