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
With all of those in mind, few technologies qualify as ‘future-proof’ the way that cloud file sharing and collaboration does. And, it meets the needs of end-users, enterprises, and customers all at once—a rare principle of thirds we couldn’t have predicted back in the day.
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.
In this episode of the Open for Data podcast, join Joe McKendrick in exploring the role of cloud computing in reshaping the global business environment — and find out how open source initiatives are driving that change.
A variety of organizational roles interact with business data, and each role faces its own particular challenges in collaborating with its IT counterparts. In this installment of the InsightOut series, learn more about the responsibilities of these personas, exploring the considerations that govern
If any one industry can claim digital transformation as a most immediate imperative, then the media and entertainment industry rises above the rest. Not only do organizations need to provide streaming content, but they also need to provide content on a diverse range of platforms. And to be
Bringing analytics to the C-suite doesn’t have to be a struggle. Learn how you can tailor your analytics conversations to help your executive colleagues throw open the door to new vistas of business opportunity.
No one really starts with clean data. Yet when garbage in means garbage out, is such an approach sustainable? Discover how information governance tools can help you make sense of “garbage” data, turning it into helpful, actionable information relevant to your business’s bottom line.
Open source initiatives are reshaping the face of data science, bringing data professionals together to achieve previously infeasible goals. In this podcast, discover how the data science landscape is changing, transforming established business approaches to data.
Some process reengineering initiatives that were all the rage some two decades ago fell short of producing tangible changes within organizations. And the same dearth of measurements for assessing data quality improvements could mean the same fate for today’s information governance initiatives. See
Keep the insights coming from IBM InterConnect 2016 with this episode of the Open for Data podcast, in which Adrian Bowles of RTInsights shares his perspective on what open source initiatives mean for big data analytics.