Build data supply chains not data warehouses

Tech March 18, 2014 00:00

By Syed Rasheed

7,141 Viewed

The importance of data is not hidden from anyone. Data are the raw material of business, economic inputs almost on par with capital and labour for the "information age".

Organisations are no longer suffering from a lack of data, they’re suffering from a lack of the right data. In today’s data-driven world, it is not only analytical applications that need to access data from diverse sources, but also operational and transactional applications and processes. Business leaders need the right data to effectively define the strategic direction of their enterprise. 
The reality is that data in most organisations are distributed across multiple operational and analytical systems in various big data and traditional data stores, including Apache Hadoop, relational databases and NoSQL stores such as MongoDB. 
With social media, cloud applications and syndicated data services leading to expanding volume, variety and velocity of data, many organisations are realising that physical consolidation or replication of data is not practical for all data integration and business agility needs.
It’s time to start treating your data less as a warehouse and more as a supply chain. Having identified your sources of data, you must corral them for analysis, in the same way that the various components come together on an assembly line. 
Recognise that data won’t be static – they will be manipulated as they go through the supply chain, added to other data, updated as more recent data come along, and transformed into new forms as you look at different data in aggregate.
To build an effective data supply chain, a better integration solution is required that will deliver any combination of data, to any application, at any time, in any form needed. 
Red Hat JBoss Data Virtualisation enables organisations to deliver timely, actionable and unified information through lean integration of data spread over multiple applications and technology silos, making all the data easily consumable by people who need them the most to advance the business. 
JBoss Data Virtualisation enables agile data utilisation in three easy steps:
Connect: Simultaneously access data from multiple, heterogeneous sources, such as Apache Hadoop and MongoDB. 
Compose: Easily combine and transform data into reusable, business friendly virtual data models and views. 
Consume: Make unified data easily consumable through open standards interfaces. 
Data-driven enterprises can maximise the business value of their data by establishing the organisation, processes and infrastructure necessary to manage their data as a dynamic supply chain, providing for relevant, trusted data to be delivered quickly when, where and how they are needed to support the changing needs of the business and allow it to thrive in the information-driven economy. 
Syed Rasheed is senior principal product marketing manager at Red Hat.