|
|
Oracle Unveils Strategy to Help Customers in India Tackle Big Data
IT News Online Staff
2012-01-27
Oracle Corp. has unveiled its strategy to help customers meet the challenges posed by Big Data and announced the availability of its Big Data Appliance in India. The company’s Big Data approach is focused on engineered systems and is aimed at making big data initiatives practical for the enterprise.
"Oracle is the first vendor to offer a complete and integrated solution to address the full spectrum of enterprise Big Data requirements," said Sundar Ram, Vice President, Technology Sales Consulting, Asia Pacific, Oracle Corp. "Oracle’s Big Data strategy is centered on the idea that customers can evolve their current enterprise data architecture to incorporate Big Data and deliver business value, leveraging the proven reliability, flexibility and performance of their Oracle systems."
As per a leading industry analyst firm, in 11 years between 2009 and 2020, the size of the "Digital Universe" will increase 44 fold. That’s a 41% increase in capacity every year. In addition, only 5% of this data being created is structured and the remaining 95% is semi-structured in nature.
But the problem is not the creation of the data, but how organizations can locate the relevant information to do deeper and more sophisticated analysis of this data and use it in real time.
To make the most of big data, organizations are now looking at evolving their IT infrastructures to handle the rapid rate of delivery of extreme volumes of data, with varying data types, which can then be integrated with an organization’s other enterprise data to be analyzed. In fact, the most recent annual survey on data warehousing by the Independent Oracle Users Group (IOUG) found that around 48% of enterprises expect a significant or moderate increase in the unstructured data analysis over the next five years.
"Organizations across verticals are faced with the challenge of acquiring, organizing and analyzing this enormous amount of digital data to make better business decisions. There is a strong latent demand for Big Data and Analytics platforms in the market," said Sundar. "We believe, verticals like BFSI, Retail, Media, and government sectors will adopt Big Data immediately owing to the enormous data flow, while sectors such as healthcare and telecom are likely to be among the early adopters before most verticals adopt Big Data solutions."
In continuation with its strategy to deliver pre-integrated, pre-tested engineered systems for data management requirements, Oracle has introduced a new engineered system - Oracle Big Data Appliance that combines optimized hardware with the most comprehensive software stack featuring specialized solutions developed by Oracle to deliver a complete, easy-to-deploy solution for acquiring, organizing and analyzing big data. It is designed to deliver extreme analytics on all data types, with enterprise-class performance, availability, manageability and security.
Oracle Big Data Appliance incorporates Cloudera’s Distribution Including Apache Hadoop with Cloudera Manager, plus an open source distribution of R that has been enhanced to run the oracle database. Running on Oracle Linux, the system also features Oracle NoSQL Database and Oracle HotSpot Java Virtual Machine.
"Oracle Big Data Appliance is architected to rapidly turnaround adhoc information requests, which otherwise take weeks, thus making the businesses very agile and it also help customers control IT costs by pre-integrating all hardware and software components into a single Big Data solution that complements enterprise data warehouses," said Sundar.
The company said its Big Data approach relieves customers off the integration involved in assembling a suitable set of hardware and software components to create big data architecture. In addition, it allows customers to leverage commercial quality support with the entire system being supported by a single vendor.
The business insight generated through big data analysis is routed to the front desk through Oracle’s Siebel CRM enabling executive to make informed decisions. Similarly, Oracle Spatial enables users to manage geographic and location-data forming an integrated part of Oracle’s Big Data solutions.
Oracle Big Data Appliance can be used for staging and ETL processes that need to occur upstream of the data warehouse. The included Oracle Loader for Hadoop can then be used to transfer the data in parallel into Oracle Exadata. Oracle Exadata can readily use data that comes from an Oracle Big Data Appliance in conjunction with data already in the data warehouse.
The company said the Oracle Big Data Appliance, in conjunction with Oracle Exadata and Oracle Exalytics offers the broadest, most integrated product portfolio to help customers acquire and organize diverse data types, and then analyze them alongside existing enterprise data to discover new insights and make the most informed decisions.
|
|
|
