Big Data is being generated at all times. Every digital process and social media exchange produces it. Systems, sensors and mobile devices transmit it. Much of this data is coming to us in an unstructured form, making it difficult to put into structured tables with rows and columns. To extract insights from this complex data, Big Data projects often rely on cutting edge analytics involving data science and machine learning. Computers running sophisticated algorithms can help enhance the veracity of information by sifting through the noise created by Big Data's massive volume, variety, and velocity.
Scale of the data
The ability to process large amounts of data and what you do with that data.
Different forms of data
Making sense out of unstructured data by trying to capture all of the data that pertains to our decision-making process.
Analysis of streaming data
The rate at which data arrives at the enterprise and the time that it takes the enterprise to process and understand that data.
Uncertainty of the data
The quality or trustworthiness of the data. The quality or trustworthiness of the data. Tools that help handle big data’s veracity discard “noise” and transform the data into trustworthy insights.
What is changing in the realm of big data?
Big data is changing the way people within organizations work together. It is creating a culture in which business and IT leaders must join forces to realize value from all data. Insights from big data can enable all employees to make better decisions—deepening customer engagement, optimizing operations, preventing threats and fraud, and capitalizing on new sources of revenue. But escalating demand for insights requires a fundamentally new approach to architecture, tools and practices.
Data Science Sandbox
Data Science is an interdisciplinary field that combines machine learning, statistics, advanced analysis, and programming. It is a new form of art that draws out hidden insights and puts data to work in the cognitive era.
An industry standard Hadoop offering that combines the best of open source software with enterprise-grade capabilities. It helps organizations to cost effectively manage and analyze all kinds of data, including semi-structured and unstructured.
Give your application uninterrupted data access, offline and online, anywhere in the world, with a fully managed NoSQL database service. Let IBM manage the database layer so you can build more, grow more and sleep more.
Analyze your data where it resides—in the cloud—with a fully managed columnar data warehouse service. Leverage in-database predictive analytics and massively parallel processing (MPP) to do more with your data.
Helps analyze big volumes of structured and unstructured data to provide complete and accurate customer information—without increasing risk of errors or data loss when moving data from source to source.
Helps ensure information quality and provides the ability to quickly adapt to strategic business changes by stewardship and monitoring of data and application of data quality rules for your Hadoop data.
A secure embeddable database, optimized for OLTP, IoT and is forging new frontiers with its unique ability to seamlessly integrate SQL, NoSQL/JSON, time series and spatial data.
How can you realize the greatest value from big data?
With connected devices and social media transforming the way people live, work and buy, today’s data is increasingly “born in the cloud.” Capturing the true value of data means acting fast with the latest analytic tools and spending less time managing your infrastructure.
Use powerful, open source database technologies to power your apps—providing flexibility, scalability, and geospatial capabilities in a fully managed service. Make your web and mobile applications more scalable and available to users, wherever they are.
Modernize and extend your online transaction processing (OLTP) databases and data warehouses to a hybrid cloud architecture. Business users can gain valuable insights easily and more cost-effectively with the most complete and integrated set of data and analytics services.