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Big Data Needs a Big Plan

F.Y. Teng | May 4, 2012
In a recent (April 30) interview with MIS Asia, Regional Director of Enterprise Technology at Oracle Asia Pacific, Kaleem Chaudhry shared with us his company's big plans and solutions sets for helping organisations worldwide solve their Big Data problems.

When Forrester recently interviewed 16 Oracle customers who use Oracle Exadata, most customers stated that Oracle Exadata exceeded performance and high availability requirements to support their mission-critical applications. Unlike other database appliances from Teradata, IBM and Netezza, Oracle Exadata supports data warehousing and OLTP applications in a single appliance.

Oracle's approach to Big Data covers 4 stages.

Acquire Big Data: Making the most of big data means quickly analysing a high volume of data generated in many different formats. Oracle offers a range of products for acquiring data including Oracle NoSQL Database and Oracle Database 11g.

Organise Big Data: A big data platform needs to be able to process massive quantities of while simultaneously filtering, transforming and sorting it before loading it into an enterprise data warehouse. Oracle products for organising big data include Oracle Big Data Appliance, Oracle Big Data Connectors and Oracle Data Integrator.

Analyse Big Data: Analysing big data within the context of all other enterprise data can reveal new insights that can have a significant impact on the bottom line. Oracle offers a portfolio of tools for statistical and advanced analysis that complement Oracle Exadata, including Oracle Advanced Analytics, Oracle Exadata Database Machine, Oracle Data and Warehousing.

Decide: Oracle Exalytics In-Memory Machine can analyse large amounts of business intelligence (BI) data quickly with a focus on yielding results that can drive both tactical and strategic business decisions.

The Oracle Big Data Appliance takes the user from the Acquire to the Organise stage, the Oracle Exadata Database Machine with the Oracle Advanced Analytics option takes the user from the Organise to the Analyse stage, and the Oracle Exalytics In-Memory Machine takes the user from the Analyse to the Decide stage.

Talk about Oracle's experience working with customers in the various industries/sectors and how all of that has contributed to the building or packaging of its Big Data solutions today.
Oracle is the market leader in enterprise data management. We have a dominant market share and as such, we have established very close working relationships with top customers from all industries. This intimate understanding of customers' requirements for effective data management contributed to the Oracle Big Data Appliance's engineering. We have studied various use cases of Big Data and Oracle has put together an optimally tuned appliance that meets the most rigorous demands of most Big Data workloads.

In addition, Oracle's engineers validated this architecture with our key partner in the Hadoop space to ensure that best practices were designed into this machine for the benefit of customers.

Which industries/sectors do you see spending the most on Big Data in the next 12 months, and which do you expect will be most successful in their efforts?
Industries that generate massive data are natural drivers of Big Data projects. As such, Telecommunications, Banking and Public Sectors are ideal candidates. The success of such projects will depend on a few factors, most importantly is the support of top management, followed by business-level sponsorship and finally the technology maturity of the customer. In this regard, Oracle's Big Data Appliance ensures that customers will get a fuss-free, ready-to-go, optimally tuned machine to kick-start their Big Data projects, thereby reducing implementation risks and ensuring maximum ROI.


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