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
Unleashing the power of data integration: a head-to-head comparison of AWS Glue vs. Azure Data Factory

Nowadays, it’s hard to imagine effective Business Intelligence without ETL (extract, transfer, and load) tools. These tools help you integrate data from multiple sources into a single database environment. Instead of keeping data in silos, you get an efficient and consistent data warehousing method where all data brings you value, regardless of its format and source. By integrating data from multiple sources into a single database environment, you can automate data management and save valuable time, allowing you to focus […]

Oleksandr Smolovyk, Mykhailo Ievsieiev
Get maximum of SQL Server: comparing Azure SQL Database and SQL Server on virtual machines

SQL Server is a veteran in the data management market and Microsoft’s most popular relational database management system. It boasts several benefits, including fast query processing, excellent security and data restoration, easy integration with other database systems, portability, and a variety of tools and plugins to enhance database management efficiency. Moreover, migrating SQL Server to the cloud offers additional benefits, such as improved scalability, database manageability, and cost-efficiency. There are three common options for deploying SQL Server in the cloud: […]

Sergii Zymbytskyi
Best practices: Security audit of Azure infrastructure for a healthcare data company

One of our customers runs a large Azure data center that works with Personal Health Information ( PHI). Before the client contacted us, many of their servers have been running on legacy OS and the overall infrastructure was rather disorganized. The Company’s management was concerned about potential security holes and requested to conduct a thorough security audit. Before contacting ABCloudz, the Company’s IT staff had been aware of potential security gaps in their infrastructure. For example, their data infrastructure included […]

Andrey Khudyakov, Roman Muzyka
Expand capacity with an IBM DB2 SQL Azure SQL Database migration

One of the world’s largest distributors of non-food consumable products wanted to rationalize their data platform and business intelligence strategy. Their current IBM DB2 database system lacked a repository to host historical audit-related data, so they could hardly retrieve data from past years. Then we came up with an Azure cloud database solution that could store all the historical data and created Power BI reports on top of it. We performed the IBM DB2 Azure SQL Database migration as a […]

Andrii Koval
Migrating to Azure SQL Managed Instance: Reasons and implications

Azure SQL Managed Instance (MI) is a highly-efficient Azure service that allows combining the broadest SQL Server database compatibility with numerous benefits of a fully managed PaaS (Platform as a Service). MI provides a much higher degree of capability than Azure SQL Database DTU and vCore service levels. Read this blog post to know the main reasons and implications of migrating to Azure SQL MI. Also, get to know how ABCloudz specialists can help you migrate quickly and efficiently. Why […]

Roman Muzyka, Andrey Khudyakov
Access modernization roadmap for a highly-outdated environment

One of our clients, a major health company, was operating a data system. Over the years, it had expanded dramatically. However, the client had never developed a comprehensive modernization strategy for their product. As a result, they ended up with a highly outdated and inefficient environment overloaded with thousands of Microsoft Access and SQL Server databases. The use of such an outdated system was associated with numerous performance, security, manageability, and scalability risks. In addition, there were frequent database corruptions. […]

Roman Muzyka, Andrey Khudyakov

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