DATA MODERNIZATION

Data migration without loss from complex ecosystems. An end-to-end automation-driven database management and security monitoring solution. Intelligent decision-making with advanced data visualization.

Modernizing data on Oracle Cloud: Transforming data into intelligence

In order to truly become a data intelligent enterprise, moving dataflows to the cloud is just the first step. When done without advanced database management on the cloud, traditional lift and shift migrations deliver stunted outcomes: optimization, cleaning, extraction, duplication, rewriting and modifying databases and applications, replacing legacy assets, integrating cloud-based analytics tools, etc. Businesses are increasingly using seamless data pools, also known as "data lakes," to transform their databases and data structures in the cloud. Providing a universal source for any data type, it allows businesses to store, call, and deploy data across remote locations, private ecosystems, third-party solutions, and endpoints. Additionally, such a refined architecture streamlines the deployment of cutting-edge analytics, thus transforming enterprise workflows at their core and laying the foundations for truly intelligent enterprises.

Experience the Next Level of Agility with Oracle Cloud-Modified Databases

When it comes to enterprise application solutions and database management, Oracle Cloud has long held a dominant position in the market. As the top application-focused cloud MSP in the world, we help companies migrate to Oracle Cloud with ease while protecting their databases on the cloud platform. Databases, data centers, and workloads can be seamlessly migrated, modernized, and managed for the entire IT stack on the Oracle Cloud. Utilize business agility, breakthrough workload performance, and the best of the cloud. With our innovative "Migration Factory Approach," automation-driven AIOps-powered managed services, real-time data analytics amplified by machine learning, and universal dashboards, you can say goodbye to all cloud migration-related hassles.

Reasons to relocate and update enterprise databases to the Oracle Cloud:

● minimize security vulnerabilities
● Data Results that Are Affordable
● Improved Compatibility
● Founded on Reliable Industry Standards
● Scalability by Design with Easy Integration
● End-to-end Data Management from a Single Source
● Automation and Innovative Outcomes

No matter which flexible IT ecosystem businesses choose, maintaining legacy systems can put your data at risk. It may be even riskier due to a lack of updates and maintenance. System health checks are frequently missed, even at businesses with full-fledged IT teams in place, leaving systems vulnerable and out-of-date.

We Achieves Expertise in Oracle Cloud Sell and Cloud Services

Enterprises will move to new-age ERP in 2022 as a result of its significant competitive advantage and improved user experience. Oracle recognizes partners who exhibit the specialized expertise needed to succeed in order to guarantee a seamless transformation for enterprises through the right partnership.

We've achieved the prestigious Cloud Sell and Cloud Service Expertise awards and have been recognized by Oracle as a reliable global Oracle Cloud Transformation Partner thanks to our full stack Oracle transformation suite and demonstrated delivery excellence.

Making Data Modernization Streamlined On the Oracle Cloud: Our Map of Offerings

For more than ten years, Oracle and I have collaborated to provide value to our clients. Oracle's broad range of data modernization technologies, along with our in-depth knowledge of the industry and certified cloud experts, assist you in streamlining business operations, enhancing decision-making, and hastening data modernization. To provide the best guidance on data modernization and migration to cloud platforms, we enlist the help of certified cloud experts and data scientists. We offer specialized database migration factories, robust APIs, DevOps documentation, and customized migration blueprints.

Our expert teams share knowledge on transferring workloads with ease, automating tasks like database monitoring, enhancing the health of databases, and updating databases for game-changing new products and services.

Data Analysis

Target entity attributes are sourced from source entity attributes during the entity mapping process. Any unmapped attributes that could lead to data loss are found. We create a migration strategy and design that details the downtime needed for the migration, the hardware and storage needed for staging, the impact of the migration on the size of the target database, and tracking updates to the source during the migration. As outlined in the migration strategy document, we adhere to the proof of concept process. Additionally, based on the analysis report, we assist businesses in classifying data according to standards and analyzing ease of maintenance.

Pre-migration

We look for data inconsistencies that highlight a potential inconsistency of an entity against predefined standards as part of the pre-migration process. In addition, we take care of data redundancy, stability, type, length, cleaning, and other factors. We monitor the quantity of redundant data that is present in legacy databases during the pre-migration process. Based on the results of the stability and inconsistency checks, we perform data cleansing.

Transform & Migrate

We transform the data in accordance with the transformation rules as part of the transform and migrate process. Additionally, we migrate the data from the source to the target. We assist in documenting migration-related log and report issues as well as migration-related log and report progress.

Modernization and Constant Migration

We record all of the changes made to the source system as part of the continuous migration. The changes are also transmitted to the target system. We assist with the redesign of the workloads to use native cloud/open source ETL (such as Spark/Lambda/Glue) instead of proprietary ETL (Infa, etc.). We take care of migrating data marts to the new platform, migrating warehouse layer storage to the cloud, handling migration errors, reporting from the new platform, onboarding other LOBs, and onboarding analytics use cases. We make sure the adjustments are made to the intended system.

Post Transformation

We offer data reconciliation and assurance as a part of the post-migration procedure. We manage the new platform's advanced analytics, search functionality, and comprehensive data & analytics. Get assistance from our data modernization experts around-the-clock.

Why Trust Us: An Impact with Difference

12+ years of experience as a reputable Oracle MSP in the Americas, EMEA, and APAC.
4000+ transformation stories from 26 countries are managed, with databases for 10 of the top 25 global banks.
Migration with zero downtime and maximum performance to ensure zero failure 500,000 operations per hour.
10,000 TB+ of managed databases, managed operations powered by AIOps.
At Migration Factory, we make migration highly automated, affordable, and secure.
Modernization is affordable for any enterprise thanks to automated and accelerated migrations.
Any source to any target for homogeneous and heterogeneous database migration.
The infrastructure for high availability and backup is available around-the-clock.
A thorough assessment and a solid roadmap for moving to open source platforms have powered the migration.
Managed Data Analytics and Reporting guarantees synchronized data and a single source of truth. The data preparation cycle is shortened because the same tools are used to manage structured and semi-structured data.