The really cool thing about big data and multiple data sources for today’s advanced, web-based applications is that a variety of open source databases can provide specialized support for different application components. If you’re involved in application development, discover why achieving polyglot
As a foundation for data lakes and refineries, NoSQL databases provide access, processing and storage to structured and unstructured data for high-performance statistical modeling and exploration. Take a look at the multitude of advantages of NoSQL databases and opportunities to bridge them to open
Does your data science need a shot in the arm? Attend Datapalooza, a one-of-a-kind globetrotting data science festival that aims to bring together data scientists from all walks of life for two and a half days of education and application. Find out when Datapalooza will be coming to your area, then
Spark just seems to be getting big play everywhere in the technology arena. What is Spark? And do you need it? Get a good glimpse into its in-memory execution capabilities, some of its key components, its integrations and its availability as a service.
Evolving Internet of Things technology is paving the way for ongoing innovation—from smart thermostats and smart cars to other smart devices—through continuous access to its data streams. And while ongoing access to that data inspires the magic behind Internet of Things solutions, it also offers an
Graph database technology powered by open source initiatives is helping fraud detection units catch intruders in the act of breaching data security. Tune in for an enlightening discussion of how modern approaches to analytics are bringing descriptive and predictive analytics together to help stop
https://www.ibm.com/cloud/db2-warehouse-on-cloudApache Spark not only excels at data warehousing, in-memory environments for building data marts and other functions, it also is well suited for pulling data from a wide range of sources and transforming and cleansing that data in an Apache Hadoop
Machines are becoming ever more intelligent, but how effectively can they help humans make decisions across the social science spectrum? Find out how the US Air Force is using IBM Watson to chart a path through the morass that is the Federal Acquisition Regulations.
This short series of blogs for the business user is designed to turn key technologies into easy to understand concepts to help explain why they are needed in a modern digital enterprise. When looking at consumer and business transactions in today’s online world, many people may ask, “Why big data
Before the San Jose, California version of Strata + Hadoop World fades from memory, check out these five key experiences that highlighted this conference for data scientists, data engineers, developers and other IT professionals.
Over the past two years, several new entrants to the market and existing players have been rapidly building offerings, and the use cases for streaming analytics are pervasive. The Forrester Wave™: Big Data Streaming Analytics, Q1 2016, reports “Streaming analytics are critical to building
There may be more bytes of data than there are stars in the universe, but the Internet of Things is as practical and down-to-earth as it gets. Discover how becoming an IoT-enabled business can help you harness the power of data for you and your customers.
An open ecosystem thrives on a mature core platform. It also depends on partnering arrangements that incentivize solution providers to continue developing standards-based interoperability around the shared environment. Take a deeper dive into recent announcements of new open ecosystem milestones
Organizations that don’t take the time to plan a strategy for implementation of a big data solution can fall into traps that impact long-term business goals. Discover five key steps organizations can take to implement a strategy for big data solutions that capitalize on Spark technology.
As competition heats up in the grocery aisle, big data is gaining traction as the tool supermarkets need to counter rivals and remain profitable. Grocery stores and other distribution centers can use data analytics to understand which products consumers are purchasing and which are bringing in the