The promise of big data is essentially unlimited. Organizations across the globe are just scratching the surface of vast data mines to reveal new insights and opportunities. At the same time, distributed data storage and processing power in the cloud means lower cost and more linear scalability to meet needs.
But with great promise comes great complexity. Enterprises planning a data management infrastructure to access and analyze big data face challenges that include disparate data access, security and data governance issues, and an IT skills gap. What’s needed is a single view into your data so that data scientists can spend more time analyzing it and less time merging it all together.
The solution lies in integrating a unified query system into your streamlined infrastructure that automatically handles processing and joining data behind the scenes to present a clear picture of the data—without hunting across silos or working with multiple APIs and query languages. For example, Oracle Big Data SQL lets data scientists use familiar SQL queries to mine data across Hadoop, NoSQL, and Oracle Database quickly and seamlessly—essentially making big data as manageable as small data.
Here’s how three Oracle customers are using innovative infrastructure solutions to tame and draw value from their data:
CERN: Visualizing Scientific Discovery
CERN’s Large Hadron Collider (LHC) is the world’s largest and most powerful particle accelerator, with 50,000 sensors and other metering devices generating more than 30 petabytes of data annually. This information tsunami is taxing the 250 petabytes of disk storage space and 200,000 computing cores in CERN’s data centers—a problem exacerbated by an essentially flat IT budget. At the same time, research scientists must extract and interpret data from the Hadoop platform, typically without the specialized technical skills such queries require.
CERN is using the visualization tools in Oracle Big Data Discovery to transform raw data into insight—without the need to learn complex tools or rely only on highly specialized resources. They use this data to ensure that CERN’s accelerators are operating at their full potential and, if not, to identify what’s required to return them to capacity.
Institut Català de la Salut: Dashboards to Drive Better Healthcare
With almost 40,000 employees, Institut Català de la Salut is the largest public healthcare provider in the Catalonia region of Spain. In addition to providing care to more than 6 million citizens at hospitals and walk-in clinics across the region, Institut Català conducts research and trains specialists and students. As part of its digital transformation, the organization implemented a high-performance database solution to house and manage vast amounts of strategic, tactical, and operating data on the healthcare services delivered at its network of facilities.
Institut Català incorporated Oracle Exadata into its infrastructure to gain the processing power users needed to access real-time data for business intelligence dashboards and reports. Since then, Institut Català has been able to generate more complex data models and reporting than its previous architecture was able to support. The result? Deeper insights across its entire healthcare network, enabling more informed business decisions systemwide based on patient data, staff performance, and real-time inventory information.
Procter & Gamble: End-to-End Visibility into Product Performance
The consumer packaged goods giant Procter & Gamble may be 178 years old, but it has no intention of letting an outdated infrastructure hinder its data processing and analysis capabilities. P&G’s business teams needed access to a wide variety of big sources about its 66 brands in order to answer high-level questions (“Why is this happening?”) in real time. The company quickly realized that growing volumes of data from structured and unstructured sources would not fit neatly into canonical data models, nor was it willing to spend the vast sums needed to store it all. P&G concluded that it could benefit from a hybrid public-private cloud topology to exploit the flexibility, scale, and cost savings of the public cloud while managing the governance of certain data types with private cloud.
P&G chose Oracle Big Data Appliance with Hadoop for its scalability, cost-effectiveness, and ability to handle both conventional and unconventional data sources, including market signals, item sales, market share, surveys, social, demographics, and weather, not to mention new sources that aren’t yet on its radar. In fact, the new solution exposed 150 terabytes of never-before-seen data that has given the company fresh insight into the marketplace.
See the Value of an Unobstructed View
Data can realize its full value only when it drives insight, and it can only do that when it converges into a single, clear view. If your data remains locked away on disparate platforms with no easy way to access it, you need an integrated infrastructure that can set it free. Learn more about how Oracle Engineered Systems can help you get a single view into all your data.
Join Us at Oracle OpenWorld 2017, October 1-5, in San Francisco
Don’t miss the excitement of Oracle OpenWorld 2017! Explore the many informative and practical sessions we have scheduled, and take advantage of some of these opportunities to learn more about Oracle’s Big Data offerings and its Engineered Systems:
- General Session: Oracle Big Data Strategy [GEN5453]
Big data is going mainstream. Today, successful big data projects are enabling more than 50 percent of organizations to see increases in revenue or reductions in cost. In this session explore big data opportunities, discuss what it takes to be successful, and learn about Oracle’s big data strategy and product family.
- Enterprise Research at Scale: CERN’s Experience with Oracle's Big Data Platform [CON1298]
Oracle has been deeply involved with the research community for more than 25 years and continues to lead the industry. It also works to make sure it maintains focus on solving the real problems of customers that rely on Oracle technology, such as CERN. Recent advancements made in the deployment of high-performance computing infrastructure and advanced analytics solutions are focused on accelerating enterprise research at scale. Advancements in key technologies including big data, machine learning/AI, and IoT, coupled with a far more cost-effective and elastic cloud delivery model have radically changed what is possible in data-driven research. Attend this session to learn from CERN's experience with Oracle’s cloud and big data solutions.
- Oracle Data Visualization: Fast, Fluid, Visual Insights with Any Data [HOL7782]
More and more organizations recognize the need to empower users with the ability to ask any analytics question with any data in a truly agile, self-service manner. In this session learn how to use Oracle Data Visualization to quickly discover analytics insights through visualizations that can be built against a variety of data sources. See how easy it is to compose visual stories to communicate findings, without the need for complex IT tools.
Also check out these sessions:
- Extending Garanti Bank’s Data Management Platform with Oracle Big Data SQL [CON1962]
- Big Data and Machine Learning and the Cloud, Oh My! [CON5462]
Source: Oracle Big Data Blog posts