The Single-Most Overlooked Part of the Data Integration Process
Without data integration, accurate analytics are impossible to achieve. Imagine trying to make a decision based on incomplete data, or worse, data that has not …
Best Practices
Advice and Guidance from Industry Experts and Analysts
Three Emerging iPaaS Use Cases You Need to Know
Interest in Integration Platform as a Service (iPaaS) software is reaching a fever pitch as a result of innovative pricing models and cloud solutions that help …
The Four Most Commonly Used Data Integration Delivery Types
Data integration is a combination of technical and business processes used to combine different data from disparate sources in order to answer important …
5 Data Integration Questions to Ask During Software Selection
The following is an excerpt from Solutions Review’s Buyer’s Guide for Data Integration Tools. Traditional data integration providers continue to …
Enterprise Application Integration is Just What Your Data Integration Strategy Needs
In a 2014 study, it was revealed that enterprises each ran an average of 508 applications. That number has undoubtedly increased over the last few years as …
Consumption-Based Pricing: Why 2019 Will Be the Year to Align Value with Investment
By Nenshad Bardoliwalla Since the birth of our information technology paradigm, its role in business has been on a constant growth curve. In the early days, it …
The 28 Best Data Integration Software Tools for 2019
Like many of the categories we cover at Solutions Review, the one constant always seems to be change. Traditional data integration providers continue to offer …
The Beginner’s Guide to Extract, Transform and Load (ETL Tutorial)
In managing databases, extract, transform, load (ETL) refers to three separate functions combined into a single programming tool. Check out this how-to …
An Introduction to Data Virtualization and the Best Tools for 2019
Data virtualization tools are being deployed by organizations that want to light a fire under their data discovery projects. With modern, distributed analytics …
Are You Making the Most Common Data Preparation Mistake?
Data preparation is a pre-processing step that allows for data transformation before analysis to ensure quality and consistency, providing enterprises with …