Modernizing the Oracle ODS Data Warehouse for SaaS flexibility with PostgreSQL on AWS

Imagine trying to keep up with the evolving needs of higher education institutions while ensuring your systems are cost-effective and scalable. This was the challenge faced by our client, a company providing a suite of software solutions for educational institutions. They needed to modernize one of their core components—an Operational Data Storage (ODS) system, which essentially served as a Data Warehouse for preparing data for BI (reporting), originally built on Oracle—by migrating to PostgreSQL in AWS. The primary goal of […]

Oleksii Savchenko (DB Developer), Oleksii Svitlychnyi (Technical writer)
Introduction to the 12-step Migration and Modernization Methodology

At ABCloudz, we know that a successful migration or modernization project relies on a solid foundation and a well-defined approach. Our approach is encapsulated in the 12-step Migration and Modernization Methodology, which we’ve developed and refined over 20 years of practice. It has proven so effective that it was adopted by AWS to guide their cloud migration best practices.To illustrate this methodology in detail, we’ve created a series of four blog posts, each covering a critical phase of the migration […]

Adam Robertson
Migration Solution Document Capturing the Project Roadmap — Part 4

Welcome to the fourth and final blog post in the overview series dedicated to our 12-step Migration and Modernization Methodology that was adopted by AWS. We started by defining workloads and examining their interdependencies, which set the stage for capturing the current architecture and designing the future state architecture as part of the first step of the methodology — Future State Architecture Design. Next, we focused on gathering and analyzing project artifacts to inform a detailed effort estimation and project […]

Adam Robertson
Analyzing Migration Project Efforts and Crafting the Project Plan — Part 3

Welcome to the third blog post in the overview series dedicated to our 12-step Migration and Modernization Methodology that was adopted by AWS. In our first and second blog posts, we explored the critical role of defining workloads in migration projects and laid out the process of capturing the current architecture and designing the future state architecture as part of the first step of the methodology — Future State Architecture Design.This provided a solid foundation for understanding the scope and […]

Adam Robertson
Workload Definition Shapes the Migration & Modernization Roadmap — Part 1

Welcome to the first blog post in the overview series dedicated to our 12-step Migration and Modernization Methodology that was adopted by AWS. In any migration or modernization project, it’s crucial to start with a clear understanding of the system’s components and their relationships. This is where workload definition comes into play. Defining workloads correctly sets the stage for the entire project, making it possible to scope, assess, and plan each step with precision. Workload definition is one of the […]

Adam Robertson
Migrating from Oracle to SQL Server for a food manufacturing company

ABCloudz recently helped The Morning Star Company, one of the world’s largest producers of tomato products, migrate their Oracle database to SQL Server. The Morning Star Company operates three processing facilities in California, handling nearly 10% of the global tomato production. Their IT infrastructure included both Oracle and SQL Server databases, but due to the high cost of Oracle licenses, the company decided to gradually retire their Oracle servers and migrate to SQL Server. They reached out to ABCloudz for […]

Oleksii Savchenko (DB Developer), Oleksii Svitlychnyi (Technical writer)
Database migration with AWS SCT: Solutions for typical conversion issues

Migrating Oracle databases to PostgreSQL or MySQL with AWS Schema Conversion Tool (AWS SCT) can present a range of challenges, from unsupported data types to limitations in automated code conversion and potential performance issues. AWS SCT offers powerful capabilities to automate these migrations, but it may not always deliver optimal results or handle complex Oracle constructs efficiently. In these cases, manual adjustments and optimizations are required to ensure a seamless transition to the target database. At ABCloudz, our team has […]

Oleksii Svitlychnyi
Database migration with SSMA: Handling typical conversion issues

Migrating databases from Oracle to Microsoft SQL Server can be a complex endeavor, especially when it comes to dealing with differences in schema structures, data types, and specific SQL clauses. The SQL Server Migration Assistant (SSMA) is a robust tool designed to automate these migrations and minimize manual effort. However, SSMA might not always produce optimal results, and understanding how to overcome these limitations is crucial for a successful migration. At ABCloudz, we’ve encountered these challenges firsthand. Through our experience, […]

Oleksii Svitlychnyi
Handling PostgreSQL Routines with More Than 100 Arguments

When working with PostgreSQL, database developers may encounter a limitation when attempting to create routines with more than 100 arguments. PostgreSQL enforces this restriction by setting FUNC_MAX_ARGS to 100 during the server build. Although this limitation is rarely an issue, complex procedures, particularly those migrated from Oracle, may have a significantly higher number of arguments. This blog post outlines a solution to handle such situations by utilizing composite data types to bypass the argument limit, ensuring routine compilation without significant […]

Oleksii Savchenko
Optimizing Date and Time Conversion in Oracle to SQL Server Migration

Migrating databases from Oracle to SQL Server can be a daunting task, especially when dealing with date and time data. While tools like the SQL Server Migration Assistant (SSMA) offer automated solutions, relying solely on these tools might not always yield the best performance. In this blog, we share examples of how to optimize conversion of Date and Time Conversion functions, after it was generated by SSMA. Key differences between Oracle and SQL Server Oracle and SQL Server handle date […]

Oleksii Savchenko
How to Optimize Oracle-to-PostgreSQL Migrations Using AWS SCT Extension Pack

The AWS SCT Extension Pack is designed to emulate Oracle’s system functions, procedures, and other database objects within PostgreSQL. This emulation is achieved by creating a special schema in PostgreSQL, named aws_oracle_ext, where these functions and objects are stored. This pack simplifies migration by replacing Oracle-specific calls with their PostgreSQL equivalents, ensuring that the code functions correctly post-migration. For example, consider the following transformations: Oracle PostgreSQL SELECT sysdate FROM dual; SELECT aws_oracle_ext.sysdate() SELECT to_char(sysdate, ‘dd.mm.yyyy hh24:mi:ss’), to_char(sysdate, ‘dd.mm.rrrr’) FROM dual; […]

Oleksii Savchenko
Operational Data Management for a Global Biotech Leader

Our client, a global biotech company with a presence in over 80 countries and a workforce of 4,000 employees, depends on a complex IT environment that includes both on-premises and cloud-based components. This infrastructure supports everything from research and development to manufacturing and corporate operations, with SQL Server playing a pivotal role across various environments. Given the scale and criticality of their operations, the client required a partner who could not only manage and optimize their existing SQL Server infrastructure […]

Sergii Zymbytskyi, Oleksii Svitlychnyi
EDW to Azure Databricks Migration

ABCloudz recently completed a significant project migrating an Enterprise Data Warehouse (EDW) from an on-premises SQL Server 2014 to Azure Databricks for a leading global retailer operating 3,000 offline stores across 40 countries. This migration was essential for addressing physical server limitations and outdated technology that hindered data processing and storage capabilities. Embracing Big Data capabilities, our solution leveraged Azure Databricks to enhance the client’s data scalability and processing efficiency, directly impacting their ability to manage and analyze large data […]

Sergey Shtypuliak (DB Engineer), Oleksii Svitlychnyi (Technical writer)
Excellent operational data management to support a complex data infrastructure

According to Business Insider, a single minute of data infrastructure downtime in a data center costs the companies using this data center over $8,000. The more complex your data infrastructure is, the greater the risk of errors that can lead to downtime, compromised data quality, or disruption of vital processes. The challenge lies in the fact that even a well-tuned data infrastructure is vulnerable to unexpected errors and disruptions that can severely impact its performance. That’s why it’s crucial to […]

Sergii Zymbytskyi
Deploying Multi-Tenant SaaS Application on AWS

Discover the scalable multi-tenant backend architecture and robust CI/CD process at the heart of the client-server solution we developed for our major pharmaceutical customer. Initially crafted to assist asthma patients with medication adherence, this app also enables doctors to monitor treatment progress remotely. The market success of this solution led our customer to strategically scale it, offering it to other healthcare providers under a white labeling model. To technically achieve this strategy, we needed to develop a scalable, distributed backend […]

Konstantin Maevskiy

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