White Papers

Access our latest white papers covering a range of topics from data replication to cloud data and beyond!

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Data Replication: Techniques and What to Avoid

Replicating data, or an entire database is not something that should be taken lightly. It is important to understand the process and best practices for replication to be as smooth as possible! Make sure you are familiar with the steps required for data replication...

What is Data Replication, and Why Is It Needed?

Data replication is the process of copying data from a system of record to a backup system. There are several compelling uses for having a working copy of a source database. Organizations replicate data to support high availability, accessibility, backup, and disaster...

Physical Database Design

The physical design of your database optimizes performance while ensuring data integrity by avoiding unnecessary data redundancies. The task of building the physical design is a job that truly never ends. As a result, you need to continually monitor the performance...

Why Use A Data Warehouse?

What is data warehousing? A data warehouse is a system that stores data from a company’s operational databases as well as external sources. Data warehouse platforms are different from operational databases because they store historical information, making it easier...

What Is Data Integration? Here Is Why You Need It.

Data integration is the process of combining data from a multitude of data sources into a single, unified view. Integrating your data is a crucial component in eliminating data silos. It is often a prerequisite to other processes, including analysis, reporting, and...

Cloud Data: Scalability and Performance

Regardless of the industry, mid-to large-size companies are looking for integration solutions that are scalable in a cloud-based data warehouse. For both B2B and B2C companies, the amount of data they will warehouse is likely to continue to scale exponentially. Now,...

Data Warehouse and Integration – Build Vs. Buy

Many companies underestimate the upfront costs of a purpose-built data warehouse and integration platform, believing that it is simply a case of moving data from Point A to Point B. In doing so, they may think they can accomplish this process in-house with less money...

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