The IBM Streaming Analytics service is a cloud-based service for IBM Streams. Streams is an analytics platform that allows you to create applications that analyze data from a variety of sources in real time. Streaming Analytics continues to add enhancements to make it easy for you to create streaming applications however you choose. Previously, we announced integration with DSX to allow creating Streams applications in Python. Now, you can run a Beam application/pipeline in Streaming Analytics.
Imagine you’re interviewing a new job applicant who graduated top of their class and has a stellar résumé. They know everything there is to know about the job, and has the skills that your business needs. There’s just one catch: from the moment they join your team, they’ve vowed never to learn anything new again. You probably wouldn’t make that hire, because you know that lifeMachine Learning Brainlong learning is vital if someone is going to add long-term value to your team. Yet when we turn to the field of machine learning, we see companies making a similar mistake all the time. Data scientists work hard to develop, train and test new machine learning models and neural networks. However, once the models get deployed, they don’t learn anything new. After a few weeks or months, become static and stale, and their usefulness as a predictive tool deteriorates.
InfluxData is proud to announce that its InfluxCloud managed service for time-series data is now available on Bluemix. Rooted in open source, the InfluxData platform is built specifically for metrics, events, and other time-based data. In other words, a true modern time-series platform.
While most industries have enthusiastically embraced cloud computing, there is still a widespread perception in the financial services sector that adopting cloud services is either too risky from a security or availability perspective, or outright impossible under current regulatory conditions.
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.