The world of data has faced incredible changes over the past few years, and organizations are struggling to keep up. In this shifting landscape, we've found that flexible deployment options—and cloud-based data warehouse solutions—might offer answers to IT professionals.
Performing programmatic actions on data across services is quite possible in today’s technology ecosystem. And now, the transfer of data across services such as the dashDB data warehouse and deploying it in new environments is also possible. However, the questions often asked by customers center on
The latest release of IBM DB2 for Linux, Unix and Windows (LUW) is generating lots of excitement. Following on a recent post highlighting the recent release, take a look at the robust set of advances, enhancements and new features available in DB2 LUW Version 11.1.1, particularly those that advance
Open source is a disruptor that never quits. It seems to be penetrating and transforming every aspect of established data, analytics and application ecosystems. In this podcast, recorded at IBM InterConnect 2016, listen to David Taieb, a cloud data services developer advocate at IBM, share his
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.
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
Open source is a disruptor that never quits, and it seems to be penetrating and transforming every aspect of established data, analytics and application ecosystems. In this podcast, recorded at IBM InterConnect 2016, listen to Kamille Nixon, portfolio marketing manager at IBM, share her expert
The open source Hadoop framework accommodates distributed storage and processing of large data sets on clusters of computers through the use of programming models. If that description sounds complex, then dig into this breakdown of Hadoop components to gain an understanding of just how flexible
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
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
In a podcast recorded at IBM InterConnect 2016, Roger Strukhoff, executive director, Tau Institute for Global ICT Research, shares his expert perspective on how open source initiatives are transforming the Internet Of Things.
Marketers of the past relied on intuition to determine if creative campaigns were working, and focus groups to understand how customers engaged with their brand. The exponential growth of channels on which the customer can interact with brands has meant not only the downfall of the linear customer
Human resources has always been about people: attracting people, finding the right people for the right role, supporting and developing the people you do choose to hire. Historically, that process has relied heavily on human intuition. Now, like other industries, HR is being transformed by the
At the recent Strata + Hadoop World conference, everybody was talking about the growing number of open source solutions. But what does this mean for the rapidly maturing field of data science? Find out in this firsthand report—and get a sense of how open source solutions will take analytics to the