Oracle shared more details about the Oracle Big Data Appliance at Oracle Day in Redwood Shores on March 22. The Oracle Big Data Appliance, which was announced last October 2011 at the Oracle OpenWorld Conference, is now shipping and is very aggressively priced. The software, which includes both Hadoop and Oracle NoSQL database, comes pre-installed on Sun server–based hardware. Oracle claims that by delivering hardware and software which are bundled and engineered to work together, it is considerably simplifying IT.
The Oracle Big Data Appliance incorporates a new version of Oracle NoSQL database, a Cloudera-sourced Hadoop distribution, and an open-source R statistical software distribution. In addition, it supports Big Data Connectors – a new set of Oracle tools – which allow businesses to transfer data from Hadoop into Oracle Database 11g. It has been designed to work with Oracle Exadata appliance, the Exalytics business-intelligence applications appliance, and Oracle Database 11g.
The Big Data Appliance comes in configurations ranging from 2 processor cores to 24 processor cores, up to 864 gigabytes memory, 648 terrabytes disk storage, and 40GB/sec InfinBand connectivity. This bundled Hadoop offering is not unique in the market; if anything, it serves as a validation of the bundled approach. Other vendors such as NetApp and Dell also offer bundled Hadoop based on Cloudera. EMC Greenplum has a similar bundled offering based on Map-R.
A bundled database appliance (whether it's targeting big data or just regular RDBMS) provides customers with a single, easy-to-deploy-and-manage system, simplifying deployment, maintenance and support, and saving time. Buying and quickly deploying a big data appliance system is lot easier than separately procuring server and storage hardware and installing and configuring software, then going through the tedious process of integrating all these with currently existing infrastructure.
Still, Oracle is the first among the large enterprise computing vendors. We believe IBM and HP will soon follow suit, since a complete, out-of-the-box packaging of software, server, storage, and network that's configured together does save IT departments valuable time by eliminating installation, configuration, and tuning.
When Oracle announced in 2011 that it planned to do a Hadoop distribution, few expected it would go with Cloudera. This decision is in fact a very smart step.By choosing Cloudera, Oracle saves time and resources, allowing the company to focus on optimizing and tuning the whole bundle.
The detailed technical description of the Oracle Big Data Appliance is a part of Oracle's overall message of hardware and software engineering working together. The other products for which additional details were released at the Oracle Day included Oracle Exadata, where Oracle flagship RDBMS is bundled with Sun hardware and is being touted by Oracle as "the world's fastest database machine," the Oracle Exalytics In-Memory Machine and Oracle Exalogic Elastic Cloud.
With this level of focus on engineered systems, Oracle is ahead of its competitors, namely HP and SAP, in branding itself as a one-stop shop for all IT needs, covering both hardware and software, including software for big data, relational data, and tools, including analytics, applications, and transaction processing.
Yash Talreja, VP Engineering, The Technology Gurus
Showing posts with label exadata. Show all posts
Showing posts with label exadata. Show all posts
Monday, March 26, 2012
Tuesday, February 14, 2012
An Educational Video on Big Data: Technologies & Techniques
Ben Lorica converses with Roger Magoulas (Director of Research at O'Reilly) on Big Data. Roger describes the key technology factors which are important while looking at solutions for management of big data. The video also gives a peek into the future, i.e. their opinion on where big data technologies are headed.
Yash Talreja, Vice President, Engineering, The Technology Gurus.
Thursday, January 5, 2012
What is Big Data?
“Big data” is a new catchphrase that has bubbled up recently to describe the explosion in digital data created by people, corporations and the government.
On a personal level, there has been a sharp increase in data in terms of the large number of status updates and photos and video uploads on social networks.
On a corporate level, there has been an explosion of structured data as an increasing number of corporations have moved their internal and external functions – from expense and time reporting to employees' FSA claims – to online systems. In addition, a dramatic amount of data is now being produced by digitization of forms filled in paper by customers before they are processed by the companies, hospitals and government -- ranging from auto and health insurance claims to medical records and bank, brokerage and credit card statements. And finally, the government agencies have also been increasingly digitizing data collected by the geographical and climate sensors, space, ocean and land data collected by NASA and other agencies, census data, public benefits data and even crime profiling data by agencies such as FBI.
As a result, we have been creating 2.5 quintillion bytes of data every day – so much that 90% of all the data in the world today was created in the last two years alone. This enormous amount of data - which the new catch phrase "Big Data" refers to - creates both a challenge and an opportunity for software and Web service providers, especially those involved in the field of analytics.
As you might imagine, contextualizing this information is an enormous challenge – fortunately, there are many innovative techniques and tools which allow us to analyze and make sense of the big data and use it for business benefit.
On a personal level, there has been a sharp increase in data in terms of the large number of status updates and photos and video uploads on social networks.
On a corporate level, there has been an explosion of structured data as an increasing number of corporations have moved their internal and external functions – from expense and time reporting to employees' FSA claims – to online systems. In addition, a dramatic amount of data is now being produced by digitization of forms filled in paper by customers before they are processed by the companies, hospitals and government -- ranging from auto and health insurance claims to medical records and bank, brokerage and credit card statements. And finally, the government agencies have also been increasingly digitizing data collected by the geographical and climate sensors, space, ocean and land data collected by NASA and other agencies, census data, public benefits data and even crime profiling data by agencies such as FBI.
As a result, we have been creating 2.5 quintillion bytes of data every day – so much that 90% of all the data in the world today was created in the last two years alone. This enormous amount of data - which the new catch phrase "Big Data" refers to - creates both a challenge and an opportunity for software and Web service providers, especially those involved in the field of analytics.
As you might imagine, contextualizing this information is an enormous challenge – fortunately, there are many innovative techniques and tools which allow us to analyze and make sense of the big data and use it for business benefit.
The ability to mine big data will be a boon to Social and Mobile Commerce -- companies will finally be able to serve advertisements and present offers which are precisely targeted to consumers based not only on traditional demographic data (age, sex, marital status, income, zip code), but also their current location as captured by their GPS enabled phones; and not only factors such as what they recently bought, but also what their friends bought.
In B2B scenarios, companies will be able to effectively qualify and manage leads across all the novel channels, including social media, and present customized offers to their potential customers. They will also be able to analyze customers’ issues faster and serve personalized offers for repeat business.
In B2B scenarios, companies will be able to effectively qualify and manage leads across all the novel channels, including social media, and present customized offers to their potential customers. They will also be able to analyze customers’ issues faster and serve personalized offers for repeat business.
Yash Talreja, Vice President, Engineering, The Technology Gurus
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