Despite big data’s hype, a significant number of organizations are still in a holding pattern—either locked in planning, hesitant to get started or wanting to avoid Apache Hadoop and Apache Spark projects. Complexity and a shortage of skills can exacerbate the situation. Increasingly, organizations
The concluding week of September 2016 offered much excitement in New York City, the backdrop for Strata + Hadoop World 2016 and several key IBM announcements, including the launch of a cloud-based, self-service environment for data science teams. Enjoy some key highlights captured from this
Apache Spark 2.0 and Apache SystemML are now available in IBM BigInsights for Apache Hadoop on Bluemix, accessible in the Basic plan under BigInsights for Apache Hadoop. Choose from among a wider array of capabilities than ever before as you take advantage of these additions to your cluster
IBM hosted an exciting event for data and analytics leaders and practitioners this week in New York. At the IBM DataFirst Launch Event, we unveiled new solutions, tools, and approaches for organizations to transform themselves through cognitive computing.
IBM invented the SQL language and the concept of a query optimizer back in the late 1970s. Four decades later, how and where we store data has changed dramatically, but the expertise to optimize queries derived from decades of advanced research remains a core IBM competency. And the ability to
IBM today announced exciting news about their Open Platform initiative with Apache Hadoop. And at its DataFirst Launch Event tonight, IBM will provide an early access view of the new IBM Project DataWorks with Watson, along with an introduction to DataFirst Services from IBM. IBM today also
Going forward, the businesses that truly disrupt their industries will be those who empower all of their personnel with open platforms, tools, and methodologies for data-driven app development. In that regard, this week’s announcement from IBM and our partners represent a key industry milestone.
When we look at all the uses of data organizations can embark upon, they fall into four main exercise groups of increasing benefit. Let’s go through each in turn and assess where your organization is in its journey to a healthier business.
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.
Open data science initiatives can be a revolutionary force for innovation that spans diverse industries. And that force comes from the people in different roles and with various skill sets who use open source data science tools to develop and deploy new designs for working and living. Discover why