Data integration is showing accelerated demands across diverse industries

What are the key trends in the data integration space?



Technical innovation is at the heart of the data integration market growth.

Recent advancements have made it easier than ever before to create a nimble,

distributed application and system architecture while still harvesting

information from an array of data sources in a meaningful way. Three specific

business trends that are being exploited and enhanced through data integration

functionality include data services, business intelligence, and master data

management.

What is Oracles value proposition to customers?



Oracle data integration enables enterprises to build, deploy, and manage

real-time data-centric architectures in a service-oriented architecture (SOA),

business intelligence (BI), and data warehouse environments. By using Oracle

data integration, organizations have reduced their development costs by 30%,

improved the speed of handling data by 50%, and reduced business process

execution times by at least 70%. These cost savings and efficiency gains are

critical to leverage in todays economic climate.

What are the best practices one could go for in real-time data integration

especially from a cost perspective?



Most organizations run extract load transform (ELT) jobs as night batch

jobs. The night batch typically causes a spike in CPU utilization which results

in the need for higher capacity for source and target systems. With real-time

data integration, the load is distributed across the entire day, thus,

drastically reducing the need for the night batch. This also reduces the need to

have a higher capacity source and target systems to take into account the spikes

from the night batch runs.

Which are the verticals that have strongly adopted data integration tools?



Initially, organizations took data integration to be nothing more than

joining two sets of data. However, they have realized that there is more to data

integration than just joining two sets of relevant data. Data integration has

been deeply rooted in data warehousing and extraction, transformation and

loading (ETL) technologies. It is showing accelerated demands across diverse

industries namely telecom, government, banks, manufacturing and professional

services (IT/ITeS) companies.

PC Suraj



surajp@cybermedia.co.in