Data Integration

What is definition of Data Integration?

• The process of finding anomalies, patterns and correlations within large data sets to predict outcomes.

• The process of managing the availability, usability, integrity and security of the data in enterprise systems, based on internal data standards and policies that also control data usage.

• The process of combining data from different sources into a single, unified view.

• The process of inputting data or information into the computer using devices such as a keyboard, scanner, disk, and voice.

Which one is not components of Data Integration

• Data migration

• Data Federation

• Data Warehousing

• Data Production

Data integration techniques are available across a broad range of organizational levels, from fully automated to manual methods. Choose a tools and techniques for data integration.

• Uniform Data Access

• EMS SQL Manager Lite for SQL Server

• Microsoft Access

• Transaction and database security

Which one is Types of Data Integration?

• Data Modeling

• Machine Data

• Spatiotemporal Data

• Real Time Data

There are several challenges that a user faces during data integration process. These challenges obstruct the path preventing the user to have a perfect integration. Some of the common problems faced by Enterprise data managers. Which is the correct of data Integration challenge?

• Data usage is efficient and high cost.

• Allows timely and reliable reporting, as data quality is the prime technology for business challenges.

• Poor quality data leads to lost revenue, missed insights and reputation damage.

• Makes reporting, monitoring, placing customer information across the enterprise flexible and

  convenient.