Consider this: You are hired as a senior BI analyst for a retail chain with over 100 stores around the country. On the first day of your job, you observed…
Data Quality Rules in Data Integration – All You Need To Know
There are six data quality dimensions that play an important role in this case. Each of these is illustrated further with data quality rules examples for greater clarity.
Data Staging Area: How It Solves Data Quality Issues
Consider the data staging layer as an intermediary layer that sits between the source and the target. The staging approach can add significant value to the data integration process by…
Eliminate Data Silos with Data Virtualization In Business
Data Virtualization allows companies to access data from disparate sources like data warehouses, NoSQL databases and data lakes without any physical data movement, through a virtual layer that hides source data complexities from the end-user.
Six Data Integration Pain Points & How to Solve Them
Recent statistics from OKTA inc show that a significant proportion of large companies deploy more than 200 applications to support their operations. Data is created, captured, transformed, or transmitted by…
Creating a Solid Data Integration Strategy for Your Business
The term “Big Data” has become wildly popular over the last decade. And rightly so. Businesses everywhere have realized the true potential of the data sitting in their systems. Analyzing…
What is Data Integration? How it Solves Modern Business Problems
Whether in the form of reports, ledgers, accounts, or visualized dashboard – every business transaction creates data. Surveys from IDG, show that the average company manages around 162.9 TB of…