Do you want to leverage the power of R to unlock the value of data in relational databases? Are you a database professional and looking to get skilled in data science? Are you a data scientist and hitting the limits of R while trying to analyze very large data sets? If you answered yes to […]
Queryplex runs advanced analytics (SQL, Python, R, PySpark, etc) across many devices and data sources as though they are a single consolidated data repository. The technology can be used to erase data silos of multiple databases (e.g. Oracle, DB2, PostgreSQL, Netezza), or compute analytics across tens of thousands of distributed Internet of Things devices where data may be stored in smaller repositories (text files, Excel spreadsheets, Informix, MySQL). Queryplex let's you query many data sources at once with a single statement, whether they are large repositories, small devices, or any combination of them.
Hello IBM Analytics for Apache Spark Users, We will be discontinuing support for the Jupyter notebooks on Bluemix as of April 6, 2017. As an IBM Analytics for Apache Spark user, we’d like you to leverage the latest Jupyter Notebooks on the Data Science Experience by migrating your notebooks (Spark 1.4.1 and later versions). Please […]
If you have never been to IBM’s Interconnect, you might be wondering “With all of the other conferences and events focused on developers and technical topics, what makes Interconnect different?” Well, let me share some of my experiences so you can see for yourself why it is worth attending.
Getting Started on Bluemix ADO .Net Core Application to access IBM Data Servers(DB2 for z/OS, dashDB)
The purpose of this blog is to help you get started using ADO .Net Core Applications hosted on Bluemix to connect and Perform DML operations against IBM Data Servers.
The IBM Bluemix Monitoring and Analytics Diagnostics Plan will be retired on March 9, 2017. Learn about key migration deadlines here.
We'll take a look at how Vulnerability Advisor (VA) helps discover critical security holes in your containerized applications.