Oracle Big Data

The Road to Big Data
The Road to Big Data

Join us for a series of information-packed conferences that will accelerate your path to big data success.

Big Data? Cloud? Learn from Successful Organizations.
Big Data? Cloud? Learn from Successful Organizations.

Oracle and Intel commissioned Forrester Consulting to uncover the effect of the cloud on the present and future of enterprise data analytics.

Oracle Big Data Predictions 2017
Oracle Big Data Predictions 2017

Big data and cloud technologies are driving dramatic transformations.

Drive Growth and Innovation with Big Data
Drive Growth and Innovation
with Big Data

Learn how you can put a big data initiative to work at your organization.

Data Preparation Tools Accelerate Self-Service
Data Preparation Tools Accelerate Self-Service

Organizations worldwide are using data preparation solutions to manage the explosion of data and put the power of data analysis in the hands of business users. Learn more in this Forrester report.

The Foundation for Data Innovation

Enterprise Big Data

We live in a world increasingly driven by data. How your organization defines its data strategy and approach—including its choice of big data and cloud technologies—will make a critical difference in your ability to compete in the future.

  • Leverage the benefits of big data in the cloud
  • Choose the leading provider to both Fortune 500 firms and top cloud app vendors
  • Extend scalability, reliability, and resiliency across the entire environment
  • Build on Oracle Engineered Systems for the best price for performance
  • Protect investments and skills in the era of big data and cloud

What is Big Data?

Big data describes a holistic information management strategy that includes and integrates many new types of data and data management alongside traditional data.

Image thumbnail of Oracle White Paper: Enterprise Architect's Guide to Big Data-€”Reference Architecture Overview

White paper: Enterprise Architect's Guide to Big Data—Reference Architecture Overview

Big data has also been defined by the four Vs:

  • Volume. The amount of data. While volume indicates more data, it is the granular nature of the data that is unique. Big data requires processing high volumes of low-density, unstructured Hadoop data—that is, data of unknown value, such as Twitter data feeds, click streams on a web page and a mobile app, network traffic, sensor-enabled equipment capturing data at the speed of light, and many more. It is the task of big data to convert such Hadoop data into valuable information. For some organizations, this might be tens of terabytes, for others it may be hundreds of petabytes.
  • Velocity. The fast rate at which data is received and perhaps acted upon. The highest velocity data normally streams directly into memory versus being written to disk. Some Internet of Things (IoT) applications have health and safety ramifications that require real-time evaluation and action. Other internet-enabled smart products operate in real time or near real time. For example, consumer eCommerce applications seek to combine mobile device location and personal preferences to make time-sensitive marketing offers. Operationally, mobile application experiences have large user populations, increased network traffic, and the expectation for immediate response.
  • Variety. New unstructured data types. Unstructured and semi-structured data types, such as text, audio, and video require additional processing to both derive meaning and the supporting metadata. Once understood, unstructured data has many of the same requirements as structured data, such as summarization, lineage, auditability, and privacy. Further complexity arises when data from a known source changes without notice. Frequent or real-time schema changes are an enormous burden for both transaction and analytical environments.
  • Value. Data has intrinsic value—but it must be discovered. There are a range of quantitative and investigative techniques to derive value from data—from discovering a consumer preference or sentiment, to making a relevant offer by location, or for identifying a piece of equipment that is about to fail. The technological breakthrough is that the cost of data storage and compute has exponentially decreased, thus providing an abundance of data from which statistical analysis on the entire data set versus previously only sample. The technological breakthrough makes much more accurate and precise decisions possible. However, finding value also requires new discovery processes involving clever and insightful analysts, business users, and executives. The real big data challenge is a human one, which is learning to ask the right questions, recognizing patterns, making informed assumptions, and predicting behavior.

To learn more about critical considerations in selecting big data technologies, read Oracle's white paper, Enterprise Architect's Guide to Big Data—Reference Architecture Overview (PDF).



In the Spotlight

  • OracleVoice

    OracleVoice: 5 Expensive Traps of DIY Hadoop Big Data Environments

    Learn about the five common mistakes IT leaders make with their DIY Hadoop clusters.

    Read the article
  • New Offerings from Oracle Big Data Cloud Service

    New Offerings from Oracle Big Data Cloud Service

    Learn about elastic Hadoop and other new services that help organizations transition to the cloud.

    Watch the video (7:27)
  • White paper: The Convergence of Big Data and the Internet of Things

    The Convergence of Big Data and the IoT

    Realize the full potential of big data and IoT.

    Read the white paper

Behold! The IoT-Enabled Scooter
Behold! The IoT-Enabled Scooter

Learn how Softbank uses Oracle Internet of Things Cloud Service to connect and monitor its electric scooter sharing service in real time. Softbank got the entire system into production in just two weeks.

NHS Business Services Authority Gains Big Savings from Better Big Data Insights
NHS Business Services Authority Gains Big Savings from Better Big Data Insights
Oracle Advanced Analytics’ data mining capabilities and Oracle Exalytics’ performance really impressed us. The overall solution is very fast, and our investment very quickly provided value. We can now do so much more with our data, resulting in significant savings for the NHS as a whole.
—Nina Monckton, Head of Information Services, NHS Business Services Authority
Image supporting Oracle Video: Airbus Uses Big Data Appliance to Improve Flight Testing
Airbus Uses Big Data Appliance to Improve Flight Testing

Hear how Oracle Big Data Appliance is having an extremely positive impact at Airbus. Using newer technologies including Oracle’s NoSQL and Big Data solutions, Airbus benefits from a scalable and agile platform for reviewing test results.

Image supporting Oracle Video: Oracle Big Data Crushes Time-to-Insight for Wargaming.net
Oracle Big Data Crushes Time-to-Insight for Wargaming.net

I can say fairly confidently that Wargaming now has the leading-edge solution in terms of data warehousing, data engineering, and analytics solutions over any other gaming company in the world.

—Craig Fryar, Head of Wargaming Business Intelligence
Image supporting Oracle Video: StubHub Spots Customer Trends Through Big Data Analytics
StubHub Spots Customer Trends Through Big Data Analytics

Oracle Database and Oracle Advanced Analytics enable predictive analytics, data mining, text mining, statistical analysis, and advanced numerical computations—all inside the database.

—Mike Barber, Senior Manager of Data Science, StubHub
Oracle Customer Success—DX Marketing
DX Marketing Grows Revenue 25% in Just Six Months with Oracle Cloud and Analytics
With Oracle Cloud and Oracle Advanced Analytics, we have incredible amounts of data at our fingertips—115 million households with 260 million individuals and roughly 800 attributes for each consumer record—and can extract knowledge and discover new insights that help propel our business forward.
—Michelle Plecha, PhD. Data Scientist, DX Marketing

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