Deriving actionable insight from data and analytics is shifting to unified, cloud-based platforms that can be used by a variety of analysis personas. Take a look at a national retail chain scenario demonstrating how a comprehensive portfolio of end-to-end analytics in the cloud can provide the
Reimagine the data science experience as an open experience with this IDE, which aims to facilitate a full range of development tasks, from data acquisition and data mining to prototyping and programming. When you do, discover how you can use Apache Spark and R to pursue open analytics by building
A world that grows increasingly complex calls for disruptive innovation in an open, collaborative environment. See how open data science provides an ecosystem of expertise, skill sets and advanced open source data science tools that fuels collaborative creativity in the development and deployment
Use open-source tools to supercharge the data science lifecycle, giving data science teams a boost as they work to provide compelling results in the complex team environments that mark modern corporations. Learn how you can make open data science an ongoing part of your business environment when
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
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
In the highly competitive video game industry, keeping players engaged and loyal is crucial in capturing a major share of this lucrative market. Doing so involves using big data analytics to harness innovation and understand what players expect.
Today, more than ever, businesses need to put the ability to analyze data into the hands of business analysts, data scientists, stakeholders and decision makers. Take an evolutionary look at how Apache Spark and big data discovery are just beginning to open up a diverse and powerful set of
Data engineers have much to learn from water management professionals, who have mastered the art of keeping filtered water on tap—ready at a moment’s notice. As information volumes begin to deluge data repositories and outpace traditional approaches, data professionals must use every tool at their
Data reservoirs are useful tools that can help organizations create new products and services, increase customer service and efficiency, and reduce waste and fraud. But what is a data reservoir and how do you create it?
Big data has shown itself to be an illuminating force for sourcing the insight that is powering a tremendous transformation in modern life. To keep pace with the rapid changes, today’s organizations are seeking to improve their capabilities, competencies and culture to turn data into business value
While some observers may argue that Apache Spark is causing the relevance of the Apache Hadoop community to wane, the fact of the matter is innovative Spark development depends on Hadoop platforms. Discover why Hadoop is stronger than ever as an open source information refinery that is expected to