Many marketing concerns have seen the light when it comes to the application of big data analysis as a means of outthinking the competition. Discover three best practices for implementing big data analytics for good data science in marketing initiatives.
IBM Insight at World of Watson 2016 has oodles of opportunities for data engineers to enrich their skill sets with a bevy of best practices, peers to network with, pointers and tips to discover, sessions to attend and more. Consider five key reasons to get the green light from your organization to
Maybe classifying data as structured or unstructured isn’t so simple. What is structured to some may not be structured to others and vice versa. When it comes to the business value of data, consider another way to look at data—whether it is repetitive data or non-repetitive data.
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
Apache 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 cluster. And then there is Spark’s complementary
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
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
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.
There are emerging digital tools and platforms that hold big promise for retailers, and these tools all have one thing in common: their use of big data to woo consumers and craft highly targeted merchandise offers.
The Internet of Things is at the heart of the digital transformation we are witnessing in society today. The advancements of this connectable ecosystem bring several important considerations including data security and privacy and the elements of the infrastructure. In this second installment of a
Big data analytics arguably has a revolutionary impact on business and commerce across a wide range of industries. But what about education? Discover three innovative ways in which big data analytics is being applied to student recruitment in institutions of higher learning and helping enhance
The Internet of Things is the digital future that is dead ahead. Are industries and businesses prepared for the onslaught of data that is already transforming our world today? In this series, take a glimpse into this future and the questions that will need to be addressed for all that the Internet
As the promise of renewable energy paints pictures of an ever brighter future, energy suppliers find themselves locked in a fierce battle for supremacy. Will you be able to seize the advantage in an industry that thrives on data? No matter who triumphs in the battle for the renewable energy market
Expand the boundaries of your possibility thanks to Apache Spark. Big data analysis is undergoing a paradigm shift powered by Spark, which supercharges the Hadoop ecosystem to help organizations accomplish things that were once thought impossible.