What is Cloud Data Migration?
Cloud data migration is the process of moving applications and data storage into the cloud. A migration initiative may involve consolidating on-premises data warehouses in the cloud or building new cloud data warehouses and/or data lakes.
Why is Migrating to the Cloud Important?
Whether you’re moving existing data or building a new cloud data warehouse or cloud data lake from scratch, migrating to the cloud leverages the inherent benefits of cloud computing: fast provisioning, infinite scalability, per-use pricing, reduced infrastructure and IT costs, seamless upgrades, and rapid technology innovation.
Benefits of Migrating to the Cloud
Cloud data migration lets you modernize your infrastructure for accelerated time to value, improved operational efficiency, and cost savings. Benefits include:
Ingesting more types of data and larger amounts of data in less time
Scaling easily to meet changing business needs
Reduced IT costs as you shift away from data centers, streamline data analytics with cloud processing power, unify your infrastructure, and more
Building a flexible, sustainable, and agile data foundation that continues to support your business needs as they change
Empowering your business analysts, data scientists, and data engineers with faster, easier-to-use tools to identify and access trusted, high-quality data for analysis and strategic decision-making.
Checklist for Cloud Data Migration
1. Define your goal state
Don’t start with a vendor and work backwards to shoehorn your data needs into their cloud data warehouse, cloud data lake, or both. Instead, determine what your business goals call for and choose the solution that best meets your needs now while also offering the extensibility to support growth without forcing you to rip and replace previous work. The right cloud data management solution will support your migration to whichever vendor you choose.
2. Catalog your data
An intelligent data catalog—one that provides insight into what you have, where it is, what is in current use, and how it needs to be protected—establishes your starting point and makes it easier to find and access specific data as needed. When you can quickly identify high-value data and prioritize its move to your new cloud data warehouse or data lake, your data consumers can start using the new technology right away while your development team backfills without disruptions.
3. Standardize and cleanse your data
The more attention you pay to data quality and governance before your cloud data migration, the less work you’ll have to do to prepare your data for analysis in the cloud. Look for an extensive set of pre-built data quality rules that let you cleanse, standardize, and enrich all data without coding to ensure that your data users can trust the data they receive and analyze.
4. Manage your metadata
Metadata management is key to automating the process of discovering, tagging, relating, and provisioning data into your cloud data warehouse or data lake. Choose a solution that can scan all enterprise systems and collect all technical, business, operational, infrastructure, and usage metadata—from database schemas and glossary terms to volume metrics and user access patterns. In addition, your metadata management solution should be able to curate your metadata, augment it with business context, and infer data lineage and relationships between entities.
Cloud Data Migration Success Stories
LANDBANK of the Philippines
LANDBANK, the fourth largest bank in the Philippines, wanted to improve customer service, lower data management costs, enhance decision-making, and ensure regulatory compliance. Cloud data migration let the bank replace a variety of house-built and third party on-premises legacy systems for finance, accounting, and supply chain management with a single comprehensive enterprise solution that generates more timely, accurate, and reliable business intelligence.
Global transportation company
A global shipping company wanted to improve and accelerate data governance for faster, more accurate reporting on the location and performance of its ships and cargo. It migrated data from booking systems, container terminals, financial systems, ships at sea, and more to a cloud data lake. As a result, its machine learning models can now choose routes and ports and forecast demand more accurately and ten times faster.
2-1-1 San Diego
2-1-1 San Diego connects local residents with community, health, and disaster services through a 24/7 phone hotline and online database. To provide faster access to services, the nonprofit needed a way to integrate data in multiple formats from 1,200 partner agencies. Cloud data migration let it create a single “golden record” for every partner and every caller—thus reducing the time and cost of each call, improving coordination and results tracking, and ensuring better service outcomes for more than 100,000 people, with room to grow to 1 million or more.
Getting Started with Cloud Data Migration
Informatica supports your successful cloud migration with a next-generation integration platform-as-a-service (IPaaS) that offers microservices-based, API-driven, AI-powered support for all the leading cloud platforms including AWS, Microsoft Azure, Snowflake, Databricks, and Google Cloud.
Informatica Intelligent Cloud Services (IICS) delivers best-of-breed data cataloging, data quality, and metadata management so you can:
Quickly discover high-value data assets
Streamline integration efforts with standardized and reusable integration assets
Take advantage of cloud data warehouse and data lake technologies to avoid persisting redundant or outdated legacy solutions
Discover and improve the quality of your data before you integrate it
Find out more about how our industry-leading cloud lakehouse data management solution facilitates cloud data migration.